diff --git a/pr-preview/pr-159/.buildinfo b/pr-preview/pr-159/.buildinfo
index 250f9653..5908e73d 100644
--- a/pr-preview/pr-159/.buildinfo
+++ b/pr-preview/pr-159/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: eadbd0818cbabb3e19c1a2ee91f31d29
+config: 20ace389bc131662368e2871517aae00
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/pr-preview/pr-159/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-methane_uncertainty_q01.html b/pr-preview/pr-159/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-methane_uncertainty_q01.html
index 83c92bb0..b637ecce 100644
--- a/pr-preview/pr-159/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-methane_uncertainty_q01.html
+++ b/pr-preview/pr-159/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-methane_uncertainty_q01.html
@@ -414,17 +414,17 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-monitoring-the-carbon-cycle-in-tropical-regions">Use case: Monitoring the carbon cycle in tropical regions</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">Quality assessment questions</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">Quality assessment statement</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">Methodology</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">Analysis and results</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-monitoring-the-carbon-cycle-in-tropical-regions">🌍 Use case: Monitoring the carbon cycle in tropical regions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">❓ Quality assessment questions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">📢 Quality assessment statement</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">📋 Methodology</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">📈 Analysis and results</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#uncertainty-assessment">1. Uncertainty assessment</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#spatial-resolution-assessment">2. Spatial resolution assessment</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#spatial-and-temporal-coverage">3. Spatial and temporal coverage</a></li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-want-to-know-more">If you want to know more</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#i-if-you-want-to-know-more">ℹ️ If you want to know more</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#key-resources">Key resources</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#references">References</a></li>
 </ul>
@@ -446,12 +446,12 @@ <h2> Contents </h2>
 </div><section class="tex2jax_ignore mathjax_ignore" id="methane-satellite-observations-uncertainty-and-completeness-assessment-for-carbon-cycle">
 <h1>Methane satellite observations uncertainty and completeness assessment for carbon cycle<a class="headerlink" href="#methane-satellite-observations-uncertainty-and-completeness-assessment-for-carbon-cycle" title="Link to this heading">#</a></h1>
 <p>Production date: 02-09-2024</p>
-<p>Produced by: CNR</p>
+<p>Produced by: Consiglio Nazionale delle Ricerche (<a class="reference external" href="https://www.cnr.it/en">CNR</a>)</p>
 <section id="use-case-monitoring-the-carbon-cycle-in-tropical-regions">
-<h2>Use case: Monitoring the carbon cycle in tropical regions<a class="headerlink" href="#use-case-monitoring-the-carbon-cycle-in-tropical-regions" title="Link to this heading">#</a></h2>
+<h2>🌍 Use case: Monitoring the carbon cycle in tropical regions<a class="headerlink" href="#use-case-monitoring-the-carbon-cycle-in-tropical-regions" title="Link to this heading">#</a></h2>
 </section>
 <section id="quality-assessment-questions">
-<h2>Quality assessment questions<a class="headerlink" href="#quality-assessment-questions" title="Link to this heading">#</a></h2>
+<h2>❓ Quality assessment questions<a class="headerlink" href="#quality-assessment-questions" title="Link to this heading">#</a></h2>
 <ul class="simple">
 <li><p><strong>Is the uncertainty of satellite-based observations sufficiently low to assess year-to-year anomalies in methane emissions of wetlands?</strong></p></li>
 <li><p><strong>Is the spatial and temporal resolution/coverage of satellite-based observations sufficient to assess year-to-year anomalies in methane emissions of wetlands?</strong></p></li>
@@ -465,7 +465,7 @@ <h2>Quality assessment questions<a class="headerlink" href="#quality-assessment-
 </figure>
 </section>
 <section id="quality-assessment-statement">
-<h2>Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
+<h2>📢 Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
 <div class="note admonition">
 <p class="admonition-title">These are the key outcomes of this assessment</p>
 <ul class="simple">
@@ -478,7 +478,7 @@ <h2>Quality assessment statement<a class="headerlink" href="#quality-assessment-
 </div>
 </section>
 <section id="methodology">
-<h2>Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>
+<h2>📋 Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>
 <p>To assess if the uncertainty, spatial/temporal resolution and coverage of satellite-based observations are sufficient to investigate year-to-year anomalies in CH4 emissions of tropical wetlands, we inspected the documentation of the CDS dataset “Methane data from 2002 to present derived from satellite observations” (<a class="reference external" href="https://cds-beta.climate.copernicus.eu/datasets/satellite-methane?tab=overview">[7]</a>, <a class="reference external" href="http://wdc.dlr.de/C3S_312b_Lot2/Documentation/GHG/C3S2_312a_Lot2_PUGS_GHG_main_latest.pdf">[6]</a>, <a class="reference external" href="http://wdc.dlr.de/C3S_312b_Lot2/Documentation/GHG/C3S2_312a_Lot2_PQAR_GHG_main_latest.pdf">[8]</a>) as well as a case study available from scientific literature (<a class="reference external" href="https://doi.org/10.1016/j.rse.2018.02.011">[9]</a>). Please note that to analyse annual anomalies in wetland methane emissions, <a class="reference external" href="https://doi.org/10.1016/j.rse.2018.02.011">[9]</a> used an earlier version (v7) of Level 2 data from the CH4_GOS_OCPR data product.</p>
 <figure class="align-default" id="id2">
 <a class="reference internal image-reference" href="../../_images/88fcf479-6fcf-4d60-834f-18e8ca2c2bb4.png"><img alt="../../_images/88fcf479-6fcf-4d60-834f-18e8ca2c2bb4.png" src="../../_images/88fcf479-6fcf-4d60-834f-18e8ca2c2bb4.png" style="height: 500px;" /></a>
@@ -501,7 +501,7 @@ <h2>Methodology<a class="headerlink" href="#methodology" title="Link to this hea
 </ul>
 </section>
 <section id="analysis-and-results">
-<h2>Analysis and results<a class="headerlink" href="#analysis-and-results" title="Link to this heading">#</a></h2>
+<h2>📈 Analysis and results<a class="headerlink" href="#analysis-and-results" title="Link to this heading">#</a></h2>
 <section id="uncertainty-assessment">
 <span id="satellite-satellite-methane-uncertainty-q01-template-section-1"></span><h3>1. Uncertainty assessment<a class="headerlink" href="#uncertainty-assessment" title="Link to this heading">#</a></h3>
 <p>The data product used by <a class="reference external" href="https://doi.org/10.1016/j.rse.2018.02.011">[9]</a> was characterised by a random error of 13 ppb and a relative spatial bias of 2 ppb with respect to TCCON co-located observations (<a class="reference external" href="https://doi.org/10.5194/acp-21-4339-2021">[10]</a>). According with <a class="reference external" href="http://wdc.dlr.de/C3S_312b_Lot2/Documentation/GHG/C3S2_312a_Lot2_PQAR_GHG_main_latest.pdf">[8]</a>, the <strong>Level 2 XCH4 products</strong> of the dataset “Methane data from 2002 to present derived from satellite observations” have <strong>uncertainties comparable to those of the dataset used by <a class="reference external" href="https://doi.org/10.1016/j.rse.2018.02.011">[9]</a></strong>: individual measurement accuracies are typically less than 20 ppb (13 ppb for the latest version of CH4_GOS_OCPR), while the relative spatial bias is less than 6.2 ppb (4 ppb for CH4_GOS_OCPR). Moreover, <strong>except for the SCIAMACHY XCH4 products</strong>, the single measurements random errors are close to the “breakthrough” requirement (&lt; 17 ppb) defined by the  Climate Research Group (CRG) of the ESA GHG-CCI project for the usability of satellite measurements to derive information on regional scale sources and sink of methane <a class="reference external" href="https://www.iup.uni-bremen.de/carbon_ghg/docs/GHGCCIplus/URD/URDv3.0_GHG-CCIp_Final.pdf">[11]</a>.</p>
@@ -524,8 +524,8 @@ <h2>Analysis and results<a class="headerlink" href="#analysis-and-results" title
 </figure>
 </section>
 </section>
-<section id="if-you-want-to-know-more">
-<h2>If you want to know more<a class="headerlink" href="#if-you-want-to-know-more" title="Link to this heading">#</a></h2>
+<section id="i-if-you-want-to-know-more">
+<h2>ℹ️ If you want to know more<a class="headerlink" href="#i-if-you-want-to-know-more" title="Link to this heading">#</a></h2>
 <section id="key-resources">
 <h3>Key resources<a class="headerlink" href="#key-resources" title="Link to this heading">#</a></h3>
 <p>The CDS catalogue entries for the data used were:</p>
@@ -622,17 +622,17 @@ <h3>References<a class="headerlink" href="#references" title="Link to this headi
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-monitoring-the-carbon-cycle-in-tropical-regions">Use case: Monitoring the carbon cycle in tropical regions</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">Quality assessment questions</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">Quality assessment statement</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">Methodology</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">Analysis and results</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-monitoring-the-carbon-cycle-in-tropical-regions">🌍 Use case: Monitoring the carbon cycle in tropical regions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">❓ Quality assessment questions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">📢 Quality assessment statement</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">📋 Methodology</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">📈 Analysis and results</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#uncertainty-assessment">1. Uncertainty assessment</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#spatial-resolution-assessment">2. Spatial resolution assessment</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#spatial-and-temporal-coverage">3. Spatial and temporal coverage</a></li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-want-to-know-more">If you want to know more</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#i-if-you-want-to-know-more">ℹ️ If you want to know more</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#key-resources">Key resources</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#references">References</a></li>
 </ul>
diff --git a/pr-preview/pr-159/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q02.html b/pr-preview/pr-159/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q02.html
index 90e9c6fe..8bcf925c 100644
--- a/pr-preview/pr-159/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q02.html
+++ b/pr-preview/pr-159/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q02.html
@@ -414,11 +414,11 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-risk-assessment-in-agriculture-using-seasonal-forecasts-as-an-input-for-climate-impact-models">Use case: Risk assessment in agriculture using seasonal forecasts as an input for climate impact models.</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">Quality assessment questions</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">Quality assessment statement</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">Methodology</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">Analysis and results</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-risk-assessment-in-agriculture-using-seasonal-forecasts-as-an-input-for-climate-impact-models">🌍 Use case: Risk assessment in agriculture using seasonal forecasts as an input for climate impact models.</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">❓ Quality assessment questions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">📢 Quality assessment statement</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">📋 Methodology</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">📈 Analysis and results</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#choose-the-data-to-use-and-setup-the-code">1. Choose the data to use and setup the code</a><ul class="nav section-nav flex-column">
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#import-required-packages">Import required packages</a></li>
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#define-parameters-describing-regions-variables-and-data">Define parameters describing regions, variables, and data</a></li>
@@ -437,7 +437,7 @@ <h2> Contents </h2>
 </li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-want-to-know-more">If you want to know more</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#i-if-you-want-to-know-more">ℹ️ If you want to know more</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#key-resources">Key resources</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#references">References</a></li>
 </ul>
@@ -461,10 +461,10 @@ <h1>Seasonal forecasts bias assessment for impact models<a class="headerlink" hr
 <p>Production date: 08/03/2024</p>
 <p>Produced by: Sandro Calmanti (ENEA)</p>
 <section id="use-case-risk-assessment-in-agriculture-using-seasonal-forecasts-as-an-input-for-climate-impact-models">
-<h2>Use case: Risk assessment in agriculture using seasonal forecasts as an input for climate impact models.<a class="headerlink" href="#use-case-risk-assessment-in-agriculture-using-seasonal-forecasts-as-an-input-for-climate-impact-models" title="Link to this heading">#</a></h2>
+<h2>🌍 Use case: Risk assessment in agriculture using seasonal forecasts as an input for climate impact models.<a class="headerlink" href="#use-case-risk-assessment-in-agriculture-using-seasonal-forecasts-as-an-input-for-climate-impact-models" title="Link to this heading">#</a></h2>
 </section>
 <section id="quality-assessment-questions">
-<h2>Quality assessment questions<a class="headerlink" href="#quality-assessment-questions" title="Link to this heading">#</a></h2>
+<h2>❓ Quality assessment questions<a class="headerlink" href="#quality-assessment-questions" title="Link to this heading">#</a></h2>
 <ul class="simple">
 <li><p><strong>Do I have to correct systematic errors in temperature and precipitation before using seasonal forecasts as an input for my crop model?</strong></p></li>
 <li><p><strong>Can I assume that climate models always produce the same systematic error for seasonal forecasts over a certain area?</strong></p></li>
@@ -472,7 +472,7 @@ <h2>Quality assessment questions<a class="headerlink" href="#quality-assessment-
 <p>Seasonal forecasts can be used as an input to crop models for agricultural risk assessment <a class="reference external" href="https://www.nature.com/articles/s41598-018-20628-2">[1]</a> <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S0168192318303836">[2]</a> <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S2405880722000425">[3]</a>. However, the presence of systematic errors can undermine the performance of crop models in a number of ways, particularly when critical thresholds in the plant growth process are considered. Similar problems can arise in other sectoral applications, such as the management of renewable energy facilities <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S0960148119306196">[4]</a>, or the alerting of national health services for the occurrence of summer heat waves <a class="reference external" href="https://link.springer.com/article/10.1007/s00382-021-05828-3">[5]</a>. In addition to temperature and precipitation, the most commonly used climate variables for risk assessment in all sectoral applications, the notebook also considers wind speed and dew point temperature. While these variables are commonly used in agricultural applications to calculate potential evapotranspiration, the results of the assessment are also valuable for several other sectors.</p>
 </section>
 <section id="quality-assessment-statement">
-<h2>Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
+<h2>📢 Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
 <div class="note admonition">
 <p class="admonition-title">These are the key outcomes of this assessment</p>
 <ul class="simple">
@@ -490,7 +490,7 @@ <h2>Quality assessment statement<a class="headerlink" href="#quality-assessment-
 </figure>
 </section>
 <section id="methodology">
-<h2>Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>
+<h2>📋 Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>
 <p>This notebook provides a comprehensive assessment of the systematic errors of the forecast systems by comparing the model predictions with the ERA5 reanalysis. The analysis is carried out for eight regions selected from those used in the IPCC-AR6 (see figure below), which capture the spatial scale of the main systematic errors already analysed in previous studies <a class="reference external" href="https://link.springer.com/article/10.1007/s00382-019-04640-4">[10]</a></p>
 <p>The analysis and results are organised in the following steps, which are detailed in the sections below:</p>
 <p><strong><a class="reference internal" href="#seasonal-seasonal-monthly-single-levels-forecast-skill-q02-section-1"><span class="std std-ref">1. Choose the data to use and setup the code</span></a>:</strong></p>
@@ -522,7 +522,7 @@ <h2>Methodology<a class="headerlink" href="#methodology" title="Link to this hea
 <p>Note that for ECCC, only one of the two systems has been analysed (system 3). This is different from the approach taken in the C3S charts, and CanSIPSv2.1, where both systems are combined (system 2 and system 3).</p>
 </section>
 <section id="analysis-and-results">
-<h2>Analysis and results<a class="headerlink" href="#analysis-and-results" title="Link to this heading">#</a></h2>
+<h2>📈 Analysis and results<a class="headerlink" href="#analysis-and-results" title="Link to this heading">#</a></h2>
 <section id="choose-the-data-to-use-and-setup-the-code">
 <span id="seasonal-seasonal-monthly-single-levels-forecast-skill-q02-section-1"></span><h3>1. Choose the data to use and setup the code<a class="headerlink" href="#choose-the-data-to-use-and-setup-the-code" title="Link to this heading">#</a></h3>
 <section id="import-required-packages">
@@ -1115,8 +1115,8 @@ <h4>Discussion<a class="headerlink" href="#discussion" title="Link to this headi
 </section>
 </section>
 </section>
-<section id="if-you-want-to-know-more">
-<h2>If you want to know more<a class="headerlink" href="#if-you-want-to-know-more" title="Link to this heading">#</a></h2>
+<section id="i-if-you-want-to-know-more">
+<h2>ℹ️ If you want to know more<a class="headerlink" href="#i-if-you-want-to-know-more" title="Link to this heading">#</a></h2>
 <section id="key-resources">
 <h3>Key resources<a class="headerlink" href="#key-resources" title="Link to this heading">#</a></h3>
 <p>Some key resources and further reading were linked throughout this assessment.</p>
@@ -1210,11 +1210,11 @@ <h3>References<a class="headerlink" href="#references" title="Link to this headi
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-risk-assessment-in-agriculture-using-seasonal-forecasts-as-an-input-for-climate-impact-models">Use case: Risk assessment in agriculture using seasonal forecasts as an input for climate impact models.</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">Quality assessment questions</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">Quality assessment statement</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">Methodology</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">Analysis and results</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-risk-assessment-in-agriculture-using-seasonal-forecasts-as-an-input-for-climate-impact-models">🌍 Use case: Risk assessment in agriculture using seasonal forecasts as an input for climate impact models.</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">❓ Quality assessment questions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">📢 Quality assessment statement</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">📋 Methodology</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">📈 Analysis and results</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#choose-the-data-to-use-and-setup-the-code">1. Choose the data to use and setup the code</a><ul class="nav section-nav flex-column">
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#import-required-packages">Import required packages</a></li>
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#define-parameters-describing-regions-variables-and-data">Define parameters describing regions, variables, and data</a></li>
@@ -1233,7 +1233,7 @@ <h3>References<a class="headerlink" href="#references" title="Link to this headi
 </li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-want-to-know-more">If you want to know more</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#i-if-you-want-to-know-more">ℹ️ If you want to know more</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#key-resources">Key resources</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#references">References</a></li>
 </ul>
diff --git a/pr-preview/pr-159/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q04.html b/pr-preview/pr-159/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q04.html
index c55dd43d..cc5929a2 100644
--- a/pr-preview/pr-159/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q04.html
+++ b/pr-preview/pr-159/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q04.html
@@ -416,11 +416,11 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-a-national-hydro-met-services-informing-decisions-in-agricultural-or-energy-applications">Use case: a national hydro-met services informing decisions in agricultural or energy applications</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">Quality assessment questions</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">Quality assessment statement</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">Methodology</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">Analysis and results</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-a-national-hydro-met-services-informing-decisions-in-agricultural-or-energy-applications">🌍 Use case: a national hydro-met services informing decisions in agricultural or energy applications</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">❓ Quality assessment questions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">📢 Quality assessment statement</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">📋 Methodology</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">📈 Analysis and results</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#choose-the-data-to-use-and-setup-the-code">1. Choose the data to use and setup the code</a><ul class="nav section-nav flex-column">
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#import-required-packages">Import required packages</a></li>
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#define-parameters-describing-regions-variables-and-data">Define parameters describing regions, variables, and data</a></li>
@@ -445,7 +445,7 @@ <h2> Contents </h2>
 </li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-want-to-know-more">If you want to know more</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#i-if-you-want-to-know-more">ℹ️ If you want to know more</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#key-resources">Key resources</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#references">References</a></li>
 </ul>
@@ -469,10 +469,10 @@ <h1>Evaluation of the hit-rate of seasonal forecasts for tercile categories of m
 <p>Production date: 30/05/2024</p>
 <p>Produced by: Sandro Calmanti (ENEA), Alessandro Dell’Aquila (ENEA)</p>
 <section id="use-case-a-national-hydro-met-services-informing-decisions-in-agricultural-or-energy-applications">
-<h2>Use case: a national hydro-met services informing decisions in agricultural or energy applications<a class="headerlink" href="#use-case-a-national-hydro-met-services-informing-decisions-in-agricultural-or-energy-applications" title="Link to this heading">#</a></h2>
+<h2>🌍 Use case: a national hydro-met services informing decisions in agricultural or energy applications<a class="headerlink" href="#use-case-a-national-hydro-met-services-informing-decisions-in-agricultural-or-energy-applications" title="Link to this heading">#</a></h2>
 </section>
 <section id="quality-assessment-questions">
-<h2>Quality assessment questions<a class="headerlink" href="#quality-assessment-questions" title="Link to this heading">#</a></h2>
+<h2>❓ Quality assessment questions<a class="headerlink" href="#quality-assessment-questions" title="Link to this heading">#</a></h2>
 <ul class="simple">
 <li><p><strong>What are the hit-rates for terciles categories in seasonal forecasts for anomalies above/below normal?</strong></p></li>
 <li><p><strong>Can I use information from seasonal forecasts of monthly anomalies to make decisions?</strong></p></li>
@@ -493,7 +493,7 @@ <h2>Quality assessment questions<a class="headerlink" href="#quality-assessment-
 <p>Indeed, the WMO <a class="reference external" href="https://library.wmo.int/records/item/56227-guidance-on-verification-of-operational-seasonal-climate-forecasts">Guidance on Verification of Operational Seasonal Climate Forecasts</a> highlights how the use of generalised methodologies for the assessment of seasonal forecasts sometimes represent limited attraction for new users. Therefore, the <a class="reference external" href="https://library.wmo.int/records/item/56227-guidance-on-verification-of-operational-seasonal-climate-forecasts">Guidance</a> recommends a range of methodologies of increasing complexity, including very simple ones like the hit-rate, which are particularly useful for introducing the potential value of seasonal forecasts to non-specialists.</p>
 </section>
 <section id="quality-assessment-statement">
-<h2>Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
+<h2>📢 Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
 <div class="note admonition">
 <p class="admonition-title">These are the key outcomes of this assessment</p>
 <ul class="simple">
@@ -511,7 +511,7 @@ <h2>Quality assessment statement<a class="headerlink" href="#quality-assessment-
 </figure>
 </section>
 <section id="methodology">
-<h2>Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>
+<h2>📋 Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>
 <p>This notebook provides a comprehensive assessment of the hit-rates for terciles on monthly anomalies of selected ECVs of the forecast systems by comparing the model predictions with the ERA5 reanalysis. The analysis is carried out for eight regions selected from those used in the IPCC-AR6 (see figure below) <a class="reference external" href="https://doi.org/10.1017/CBO9781139177245.006">[4]</a>.</p>
 <p>The computation of the hit-score is straightforward: the monthly values of the selected ECV (e.g. temperature)  are firstly divided in terciles (below normal, normal, above normal). Then, the hit-score is computed by counting the number of events when the most populated tercile derived from the distribution of the seasonal forecasts corresponds to the observed tercile of the target month.</p>
 <p>The analysis and results are organised in the following steps, which are detailed in the sections below:</p>
@@ -540,7 +540,7 @@ <h2>Methodology<a class="headerlink" href="#methodology" title="Link to this hea
 </ul>
 </section>
 <section id="analysis-and-results">
-<h2>Analysis and results<a class="headerlink" href="#analysis-and-results" title="Link to this heading">#</a></h2>
+<h2>📈 Analysis and results<a class="headerlink" href="#analysis-and-results" title="Link to this heading">#</a></h2>
 <section id="choose-the-data-to-use-and-setup-the-code">
 <span id="seasonal-seasonal-monthly-single-levels-forecast-skill-q04-section-1"></span><h3>1. Choose the data to use and setup the code<a class="headerlink" href="#choose-the-data-to-use-and-setup-the-code" title="Link to this heading">#</a></h3>
 <section id="import-required-packages">
@@ -1209,8 +1209,8 @@ <h4>Hit-rate for other variables<a class="headerlink" href="#hit-rate-for-other-
 </section>
 </section>
 </section>
-<section id="if-you-want-to-know-more">
-<h2>If you want to know more<a class="headerlink" href="#if-you-want-to-know-more" title="Link to this heading">#</a></h2>
+<section id="i-if-you-want-to-know-more">
+<h2>ℹ️ If you want to know more<a class="headerlink" href="#i-if-you-want-to-know-more" title="Link to this heading">#</a></h2>
 <section id="key-resources">
 <h3>Key resources<a class="headerlink" href="#key-resources" title="Link to this heading">#</a></h3>
 <p>The CDS catalogue entries for the data used were:</p>
@@ -1311,11 +1311,11 @@ <h3>References<a class="headerlink" href="#references" title="Link to this headi
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-a-national-hydro-met-services-informing-decisions-in-agricultural-or-energy-applications">Use case: a national hydro-met services informing decisions in agricultural or energy applications</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">Quality assessment questions</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">Quality assessment statement</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">Methodology</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">Analysis and results</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-a-national-hydro-met-services-informing-decisions-in-agricultural-or-energy-applications">🌍 Use case: a national hydro-met services informing decisions in agricultural or energy applications</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-questions">❓ Quality assessment questions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">📢 Quality assessment statement</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">📋 Methodology</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">📈 Analysis and results</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#choose-the-data-to-use-and-setup-the-code">1. Choose the data to use and setup the code</a><ul class="nav section-nav flex-column">
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#import-required-packages">Import required packages</a></li>
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#define-parameters-describing-regions-variables-and-data">Define parameters describing regions, variables, and data</a></li>
@@ -1340,7 +1340,7 @@ <h3>References<a class="headerlink" href="#references" title="Link to this headi
 </li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-want-to-know-more">If you want to know more</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#i-if-you-want-to-know-more">ℹ️ If you want to know more</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#key-resources">Key resources</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#references">References</a></li>
 </ul>
diff --git a/pr-preview/pr-159/_sources/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-methane_uncertainty_q01.ipynb b/pr-preview/pr-159/_sources/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-methane_uncertainty_q01.ipynb
index e99e0793..b0b1c0bc 100644
--- a/pr-preview/pr-159/_sources/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-methane_uncertainty_q01.ipynb
+++ b/pr-preview/pr-159/_sources/Satellite_ECVs/Atmospheric_composition_ECVs/satellite_satellite-methane_uncertainty_q01.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "cc139846",
+   "id": "5e40b337",
    "metadata": {
     "tags": []
    },
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "90b31081",
+   "id": "919872c0",
    "metadata": {
     "tags": [
      "disclaimer"
@@ -43,7 +43,7 @@
    "source": [
     "Production date: 02-09-2024\n",
     "\n",
-    "Produced by: CNR"
+    "Produced by: Consiglio Nazionale delle Ricerche ([CNR](https://www.cnr.it/en))"
    ]
   },
   {
@@ -57,7 +57,7 @@
     "tags": []
    },
    "source": [
-    "## Use case: Monitoring the carbon cycle in tropical regions"
+    "## 🌍 Use case: Monitoring the carbon cycle in tropical regions"
    ]
   },
   {
@@ -67,7 +67,7 @@
     "tags": []
    },
    "source": [
-    "## Quality assessment questions\n",
+    "## ❓ Quality assessment questions\n",
     "* **Is the uncertainty of satellite-based observations sufficiently low to assess year-to-year anomalies in methane emissions of wetlands?**\n",
     "* **Is the spatial and temporal resolution/coverage of satellite-based observations sufficient to assess year-to-year anomalies in methane emissions of wetlands?**"
    ]
@@ -108,7 +108,7 @@
     "tags": []
    },
    "source": [
-    "## Quality assessment statement\n",
+    "## 📢 Quality assessment statement\n",
     "\n",
     "```{admonition} These are the key outcomes of this assessment\n",
     ":class: note\n",
@@ -130,7 +130,7 @@
     "tags": []
    },
    "source": [
-    "## Methodology\n",
+    "## 📋 Methodology\n",
     "\n",
     "To assess if the uncertainty, spatial/temporal resolution and coverage of satellite-based observations are sufficient to investigate year-to-year anomalies in CH4 emissions of tropical wetlands, we inspected the documentation of the CDS dataset “Methane data from 2002 to present derived from satellite observations” ([[7]](https://cds-beta.climate.copernicus.eu/datasets/satellite-methane?tab=overview), [[6]](http://wdc.dlr.de/C3S_312b_Lot2/Documentation/GHG/C3S2_312a_Lot2_PUGS_GHG_main_latest.pdf), [[8]](http://wdc.dlr.de/C3S_312b_Lot2/Documentation/GHG/C3S2_312a_Lot2_PQAR_GHG_main_latest.pdf)) as well as a case study available from scientific literature ([[9]](https://doi.org/10.1016/j.rse.2018.02.011)). Please note that to analyse annual anomalies in wetland methane emissions, [[9]](https://doi.org/10.1016/j.rse.2018.02.011) used an earlier version (v7) of Level 2 data from the CH4_GOS_OCPR data product.\n",
     "\n",
@@ -160,7 +160,7 @@
     "tags": []
    },
    "source": [
-    "## Analysis and results"
+    "## 📈 Analysis and results"
    ]
   },
   {
@@ -266,7 +266,7 @@
     "tags": []
    },
    "source": [
-    "## If you want to know more\n",
+    "## ℹ️ If you want to know more\n",
     "\n",
     "### Key resources\n",
     "\n",
diff --git a/pr-preview/pr-159/_sources/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q02.ipynb b/pr-preview/pr-159/_sources/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q02.ipynb
index 92f4ce39..e0968eec 100644
--- a/pr-preview/pr-159/_sources/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q02.ipynb
+++ b/pr-preview/pr-159/_sources/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q02.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "a8aab909",
+   "id": "edf97a23",
    "metadata": {
     "tags": []
    },
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9b958945",
+   "id": "a1a21b38",
    "metadata": {
     "tags": [
      "disclaimer"
@@ -48,9 +48,9 @@
     "\n",
     "Produced by: Sandro Calmanti (ENEA)\n",
     "\n",
-    "## Use case: Risk assessment in agriculture using seasonal forecasts as an input for climate impact models.\n",
+    "## 🌍 Use case: Risk assessment in agriculture using seasonal forecasts as an input for climate impact models.\n",
     "\n",
-    "## Quality assessment questions\n",
+    "## ❓ Quality assessment questions\n",
     "* **Do I have to correct systematic errors in temperature and precipitation before using seasonal forecasts as an input for my crop model?**\n",
     "* **Can I assume that climate models always produce the same systematic error for seasonal forecasts over a certain area?** "
    ]
@@ -64,7 +64,7 @@
    "source": [
     "Seasonal forecasts can be used as an input to crop models for agricultural risk assessment [[1]](https://www.nature.com/articles/s41598-018-20628-2) [[2]](https://www.sciencedirect.com/science/article/pii/S0168192318303836) [[3]](https://www.sciencedirect.com/science/article/pii/S2405880722000425). However, the presence of systematic errors can undermine the performance of crop models in a number of ways, particularly when critical thresholds in the plant growth process are considered. Similar problems can arise in other sectoral applications, such as the management of renewable energy facilities [[4]](https://www.sciencedirect.com/science/article/pii/S0960148119306196), or the alerting of national health services for the occurrence of summer heat waves [[5]](https://link.springer.com/article/10.1007/s00382-021-05828-3). In addition to temperature and precipitation, the most commonly used climate variables for risk assessment in all sectoral applications, the notebook also considers wind speed and dew point temperature. While these variables are commonly used in agricultural applications to calculate potential evapotranspiration, the results of the assessment are also valuable for several other sectors.\n",
     "\n",
-    "## Quality assessment statement\n",
+    "## 📢 Quality assessment statement\n",
     "\n",
     "```{admonition} These are the key outcomes of this assessment\n",
     ":class: note\n",
@@ -97,7 +97,7 @@
     "tags": []
    },
    "source": [
-    "## Methodology\n",
+    "## 📋 Methodology\n",
     "\n",
     "This notebook provides a comprehensive assessment of the systematic errors of the forecast systems by comparing the model predictions with the ERA5 reanalysis. The analysis is carried out for eight regions selected from those used in the IPCC-AR6 (see figure below), which capture the spatial scale of the main systematic errors already analysed in previous studies [[10]](https://link.springer.com/article/10.1007/s00382-019-04640-4)\n",
     "\n",
@@ -137,7 +137,7 @@
     "tags": []
    },
    "source": [
-    "## Analysis and results"
+    "## 📈 Analysis and results"
    ]
   },
   {
@@ -1084,7 +1084,7 @@
     "tags": []
    },
    "source": [
-    "## If you want to know more\n",
+    "## ℹ️ If you want to know more\n",
     "\n",
     "### Key resources\n",
     "\n",
diff --git a/pr-preview/pr-159/_sources/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q04.ipynb b/pr-preview/pr-159/_sources/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q04.ipynb
index fb194fb8..aea542ba 100644
--- a/pr-preview/pr-159/_sources/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q04.ipynb
+++ b/pr-preview/pr-159/_sources/Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q04.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "6066e463",
+   "id": "ee6f7c1f",
    "metadata": {
     "tags": []
    },
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ad317b0a",
+   "id": "d375f70c",
    "metadata": {
     "tags": [
      "disclaimer"
@@ -37,10 +37,10 @@
     "\n",
     "Produced by: Sandro Calmanti (ENEA), Alessandro Dell'Aquila (ENEA)\n",
     "\n",
-    "## Use case: a national hydro-met services informing decisions in agricultural or energy applications\n",
+    "## 🌍 Use case: a national hydro-met services informing decisions in agricultural or energy applications\n",
     "\n",
     "\n",
-    "## Quality assessment questions\n",
+    "## ❓ Quality assessment questions\n",
     "* **What are the hit-rates for terciles categories in seasonal forecasts for anomalies above/below normal?** \n",
     "* **Can I use information from seasonal forecasts of monthly anomalies to make decisions?**"
    ]
@@ -73,7 +73,7 @@
     "\n",
     "Indeed, the WMO [Guidance on Verification of Operational Seasonal Climate Forecasts](https://library.wmo.int/records/item/56227-guidance-on-verification-of-operational-seasonal-climate-forecasts) highlights how the use of generalised methodologies for the assessment of seasonal forecasts sometimes represent limited attraction for new users. Therefore, the [Guidance](https://library.wmo.int/records/item/56227-guidance-on-verification-of-operational-seasonal-climate-forecasts) recommends a range of methodologies of increasing complexity, including very simple ones like the hit-rate, which are particularly useful for introducing the potential value of seasonal forecasts to non-specialists.\n",
     "\n",
-    "## Quality assessment statement\n",
+    "## 📢 Quality assessment statement\n",
     "\n",
     "```{admonition} These are the key outcomes of this assessment\n",
     ":class: note\n",
@@ -106,7 +106,7 @@
     "tags": []
    },
    "source": [
-    "## Methodology\n",
+    "## 📋 Methodology\n",
     "\n",
     "This notebook provides a comprehensive assessment of the hit-rates for terciles on monthly anomalies of selected ECVs of the forecast systems by comparing the model predictions with the ERA5 reanalysis. The analysis is carried out for eight regions selected from those used in the IPCC-AR6 (see figure below) [[4]](https://doi.org/10.1017/CBO9781139177245.006).\n",
     "\n",
@@ -141,7 +141,7 @@
     "tags": []
    },
    "source": [
-    "## Analysis and results"
+    "## 📈 Analysis and results"
    ]
   },
   {
@@ -1046,7 +1046,7 @@
     "tags": []
    },
    "source": [
-    "## If you want to know more\n",
+    "## ℹ️ If you want to know more\n",
     "\n",
     "### Key resources\n",
     "\n",
diff --git a/pr-preview/pr-159/_sources/templates/template.ipynb b/pr-preview/pr-159/_sources/templates/template.ipynb
index c2752032..feb6036c 100644
--- a/pr-preview/pr-159/_sources/templates/template.ipynb
+++ b/pr-preview/pr-159/_sources/templates/template.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "9f87724f",
+   "id": "6d006d62",
    "metadata": {
     "tags": []
    },
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4683ebeb",
+   "id": "9ca3b2c5",
    "metadata": {
     "tags": [
      "disclaimer"
@@ -31,7 +31,9 @@
     "tags": []
    },
    "source": [
-    "# Unique quality assessment title (to be finalised by C3S), including approximately [data stream]-[quality area]-[application area]"
+    "```{note}\n",
+    "If anything is unclear with the templates, or if you encounter any problems, please report them at [GH164](https://github.com/ecmwf-projects/c3s2-eqc-quality-assessment/issues/164).\n",
+    "```"
    ]
   },
   {
@@ -40,6 +42,16 @@
    "metadata": {
     "tags": []
    },
+   "source": [
+    "# Unique quality assessment title (to be finalised by C3S), including approximately [data stream]-[quality area]-[application area]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2",
+   "metadata": {
+    "tags": []
+   },
    "source": [
     "Production date: DD-MM-YYYY\n",
     "\n",
@@ -48,7 +60,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2",
+   "id": "3",
    "metadata": {
     "editable": true,
     "slideshow": {
@@ -57,24 +69,24 @@
     "tags": []
    },
    "source": [
-    "## Use case: Use case listed here in full "
+    "## 🌍 Use case: Use case listed here in full "
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "3",
+   "id": "4",
    "metadata": {
     "tags": []
    },
    "source": [
-    "## Quality assessment question(s)\n",
+    "## ❓ Quality assessment question(s)\n",
     "* **In most cases there should be one question listed here in bold**\n",
     "* **(In some cases a second related/follow-up question may be included)**"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "4",
+   "id": "5",
    "metadata": {
     "tags": []
    },
@@ -84,12 +96,12 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5",
+   "id": "6",
    "metadata": {
     "tags": []
    },
    "source": [
-    "## Quality assessment statement\n",
+    "## 📢 Quality assessment statement\n",
     "\n",
     "```{admonition} These are the key outcomes of this assessment\n",
     ":class: note\n",
@@ -102,7 +114,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6",
+   "id": "7",
    "metadata": {
     "editable": true,
     "slideshow": {
@@ -111,19 +123,19 @@
     "tags": []
    },
    "source": [
-    "*(Delete this cell)* A **‘key figure’** could be included if appropriate (think of this as a ‘graphical abstract’, that may also be used as a thumbnail in the CDS or Jupyter Book). Since this image (or any other embedded image) is not generated directly from code it needs to be embedded, this will look like: `![](attachment:4cf358c8-5758-431e-bf74-dc6fdcc4e88f.png)`. \n",
+    "*(Delete this cell)* A **‘key figure’** should be included if appropriate (think of this as a ‘graphical abstract’, that may also be used as a thumbnail in the CDS or the Jupyter Book in the future). Since this image (or any other embedded image) is not generated directly from code it needs to be 'embedded', this will look like: `![](attachment:4cf358c8-5758-431e-bf74-dc6fdcc4e88f.png)`. \n",
     "\n",
-    "There is an option for images to be dragged and dropped from an external file browser into the markdown cell in most Jupyter editors. The image is then encoded with Base64, and no external file is needed. The attachment code can then be used in the `![](attachment:.....)` formatting, or copied and used in a 'figure' syntax if needed (see below). The `attachment:...` only works in the cell which you dragged and dropped the image into.\n",
+    "There is an option for images to be dragged and dropped from an external file browser into the markdown cell in most Jupyter editors. The image is then encoded with Base64 within the cell, and no additional file is needed. The attachment code can then be used in the `![](attachment:.....)` formatting, or copied and used in a 'figure' syntax if needed (see below). The `attachment:...` only works in the cell which you dragged and dropped the image into.\n",
     "\n",
-    "Basic markdown image `![](attachment:76012e1e-eb2e-4973-9856-ea2d755dd01e.png)` (but no formatting options, so the image must be the right size, and already contain a figure number and caption if needed):\n",
+    "A basic markdown image can be displayed with `![](attachment:76012e1e-eb2e-4973-9856-ea2d755dd01e.png)` (but no formatting options, so the image must be the right size, and already contain a figure number/label and caption if needed, or text can be added below the image).\n",
     "```{note}\n",
-    "The caption should include attribution if it is taken from an external source (if the copyright allows reproduction!).\n",
+    "Most figures will need a caption. The caption should include attribution if it is taken from an external source (if the copyright allows reproduction!).\n",
     "```"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "7",
+   "id": "8",
    "metadata": {
     "editable": true,
     "slideshow": {
@@ -137,7 +149,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8",
+   "id": "9",
    "metadata": {
     "editable": true,
     "slideshow": {
@@ -146,7 +158,7 @@
     "tags": []
    },
    "source": [
-    "*(Delete this cell)* Figure formatting to be used if figure numbering and caption is not included in the image file (do not worry that the image does not appear in Github, it will work when Jupyter Book page is created):\n",
+    "*(Delete this cell)* Figure formatting to be used if figure numbering and caption is not included in the image file (do not worry that the image does not appear in Github, it will work when Jupyter Book page is created, as will the automatic numbering):\n",
     "\n",
     "````md\n",
     "```{figure} attachment:50418e7c-3008-466c-b26e-c9033a28668d.png\n",
@@ -155,12 +167,14 @@
     "---\n",
     "Here is my figure caption!\n",
     "```\n",
-    "````"
+    "````\n",
+    "\n",
+    "The height parameter should be adjusted as needed."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "9",
+   "id": "10",
    "metadata": {
     "editable": true,
     "slideshow": {
@@ -179,7 +193,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "10",
+   "id": "11",
    "metadata": {
     "editable": true,
     "slideshow": {
@@ -188,7 +202,7 @@
     "tags": []
    },
    "source": [
-    "## Methodology\n",
+    "## 📋 Methodology\n",
     "\n",
     "A ‘free text’ introduction to the data analysis steps or a description of the literature synthesis, with a justification of the approach taken, and limitations mentioned. **Mention which CDS catalogue entry is used, including a link, and also any other entries used for the assessment**.\n",
     "\n",
@@ -223,17 +237,17 @@
   },
   {
    "cell_type": "markdown",
-   "id": "11",
+   "id": "12",
    "metadata": {
     "tags": []
    },
    "source": [
-    "## Analysis and results"
+    "## 📈 Analysis and results"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "12",
+   "id": "13",
    "metadata": {
     "editable": true,
     "papermill": {
@@ -265,8 +279,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "13",
+   "execution_count": null,
+   "id": "14",
    "metadata": {
     "editable": true,
     "slideshow": {
@@ -285,7 +299,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "14",
+   "id": "15",
    "metadata": {
     "editable": true,
     "papermill": {
@@ -311,7 +325,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "15",
+   "id": "16",
    "metadata": {
     "editable": true,
     "slideshow": {
@@ -330,7 +344,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "16",
+   "id": "17",
    "metadata": {
     "editable": true,
     "papermill": {
@@ -356,7 +370,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "17",
+   "id": "18",
    "metadata": {
     "editable": true,
     "slideshow": {
@@ -375,7 +389,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "18",
+   "id": "19",
    "metadata": {
     "editable": true,
     "papermill": {
@@ -401,7 +415,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "19",
+   "id": "20",
    "metadata": {
     "editable": true,
     "papermill": {
@@ -427,7 +441,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "20",
+   "id": "21",
    "metadata": {
     "editable": true,
     "papermill": {
@@ -455,7 +469,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "21",
+   "id": "22",
    "metadata": {
     "editable": true,
     "papermill": {
@@ -481,7 +495,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "22",
+   "id": "23",
    "metadata": {
     "editable": true,
     "papermill": {
@@ -497,7 +511,7 @@
     "tags": []
    },
    "source": [
-    "## If you want to know more\n",
+    "## ℹ️ If you want to know more\n",
     "\n",
     "### Key resources\n",
     "\n",
diff --git a/pr-preview/pr-159/_sources/templates/template_instructions.md b/pr-preview/pr-159/_sources/templates/template_instructions.md
index 4729ea73..dbdb8d78 100644
--- a/pr-preview/pr-159/_sources/templates/template_instructions.md
+++ b/pr-preview/pr-159/_sources/templates/template_instructions.md
@@ -2,6 +2,10 @@
 
 # Template instructions
 
+```{note}
+If anything is unclear with the templates, or if you encounter any problems, please report them at [GH164](https://github.com/ecmwf-projects/c3s2-eqc-quality-assessment/issues/164).
+```
+
 Instructions for the [Jupyter Notebook template for quality assessments](./template.ipynb). This template aims to ensure consistency in content and the look and feel of the assessment once it is included in the [Jupyter Book](https://ecmwf-projects.github.io/c3s2-eqc-quality-assessment/intro.html). The syntax includes MyST formatting needed for the Jupyter Book which will not render in all Jupyter Notebook viewers, or GitHub, but works in Jupyter Lab on the Virtual Machine.
 
 ```{note}
@@ -10,13 +14,15 @@ Some additional formatting required for the Jupyter Book will be automatically a
 
 ```{note}
 Please follow the headings and subheadings approach used in the template. The level of the heading is determined by the number of hashes before it (#Title, ##Use case, etc.). The following link should be helpful: https://jupyterbook.org/en/stable/reference/cheatsheet.html
+
+Also note that icons have been added to most of the headings. These are standardised so should be the same for each assessment.
 ```
 
 ```{note}
 There is a new approach to linking the methodology list to the subsections in analysis and results.
 ```
 
-## Assessment title
+## Assessment title (no icons)
 
 We do not aim to be completely prescriptive about the title, it should be readable and descriptive, but also include some key tags to increase searchability, e.g. *Seasonal forecasts bias assessment for impact models*.
 
@@ -36,19 +42,19 @@ The title should be the only 'level one' heading (single # before the heading),
 
 Include a production date (approximating when the data was downloaded and code first run, or document first accessed). Optionally, the author(s) can be acknowledge, by name and/or institute, or instead 'EQC evaluator'.
 
-## Use case
+## 🌍 Use case
 
 The use case is listed directly in the heading of the section: `## Use case: ...`
 
-## User question
+## ❓ User question
 
 User question, or User questions, if more than one question is answered in the assessment, or if a second question helps clarify the aim of the assessment. The question or questions are bold and highlighted with bullet points.
 
-## Context text (no heading)
+## Context text (no heading or icon)
 
 A section of text with no heading which appears after the user question and before the quality assessment statement. References can be used to link to examples of relevant literature or example applications relevant to the use case and user question. It should be as short as possible, but contain enough information for users to understand the context of the assessment and the main approach to be used. Together with the assessment title, use case and user question, and assessment statement all key information should be contained at the top of the assessment.
 
-## Quality assessment statement
+## 📢 Quality assessment statement
 
 Key results and guidance including an answer to the user question - to be visually highlighted and with the section title ‘Quality assessment statement’.
 
@@ -56,15 +62,15 @@ Key results and guidance including an answer to the user question - to be visual
 The blue notification box that contains the quality assessment statement bullet points will not appear in GitHub, but will be rendered when the Jupyter Book page is created.
 ```
 
-## Figure
+## Figure (no heading or icon)
 
-A key figure should be included if possible, acting as a 'graphical abstract' for the assessment. This could be a figure generated later in the code, or from an external source (if licensing allows reproduction) - in this case the source should be cited in the caption. Images should be dragged and dropped into the markdown cell, which created an 'attachment code', and the external file is no longer needed. If the image file already includes a figure number and the caption then simple syntax can be used (`![](attachment:... ID from drag and drop)`). Otherwise, figure formatting can be used, where the attachment code from the drag and drop needs to be wrapped in the figure syntax. This approach should also be followed if images not generated by code are included later in the assessment.
+A key figure should be included if possible, acting as a 'graphical abstract' for the assessment. This could be a figure generated later in the code, or from an external source (if licensing allows reproduction) - in this case the source should be cited in the caption. Images should be dragged and dropped into the markdown cell, which created an 'attachment code', and the external file is no longer needed. If the image file already includes a figure number and the caption then simple syntax can be used (`![](attachment:... ID from drag and drop)`). Otherwise, figure formatting can be used (see the template), where the attachment code from the drag and drop needs to be wrapped in the figure syntax. This approach should also be followed if images not generated by code are included later in the assessment.
 
 ```{note}
-The figure formatting will not render in Github, but will work when the Jupyter Book page is built.
+The figure formatting will not render in Github, but will work when the Jupyter Book page is built. Also note that the figure numbering is automatic, and applied across the whole Book (each Notebook does not start at 1 - this may be changed in the future). 
 ```
 
-## Methodology
+## 📋 Methodology
 
 Some text to introduce the methodology, including relevant sources, followed by a numbered list of the analysis steps under the 'analysis and results' section. The headings of each list item should link to the sections within 'Analysis and results' - this needs to be done manually. Extra steps or explanations can be added in the bullets between each numbered item.
 
@@ -75,11 +81,11 @@ The syntax for the link in the methodology list is: `[](section-1)`, where no te
 ### 1. Section 1 title
 ```
 
-## Analysis and results
+## 📈 Analysis and results
 
 A series of subsections with the same titles as in the listen in the methodology. In turn, these can have their own subsections. Code cells will be collapsed when the Jupyter Book is built. The final results should be clearly presented and discussed, supporting (but not repeating), the quality assessment statement.
 
-## If you want to know more
+## ℹ️ If you want to know more
 
 Including a key resources subsection, which can link to suggested further reading, code packages used, and the relevant CDS catalogue entries.
 
diff --git a/pr-preview/pr-159/searchindex.js b/pr-preview/pr-159/searchindex.js
index 122e42fa..8bce3ea9 100644
--- a/pr-preview/pr-159/searchindex.js
+++ b/pr-preview/pr-159/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"1. Choose the data to use and setup the code": [[6, "choose-the-data-to-use-and-setup-the-code"], [7, "choose-the-data-to-use-and-setup-the-code"]], "1. Section 1 title": [[9, "section-1-title"]], "1. Uncertainty assessment": [[3, "uncertainty-assessment"]], "2. Download and process data": [[7, "download-and-process-data"]], "2. ERA5 data retrieval and area average": [[6, "era5-data-retrieval-and-area-average"]], "2. Section 2 title": [[9, "section-2-title"]], "2. Spatial resolution assessment": [[3, "spatial-resolution-assessment"]], "3. Hit-score analysis": [[7, "hit-score-analysis"]], "3. Seasonal hindcast data retrieval and area average": [[6, "seasonal-hindcast-data-retrieval-and-area-average"]], "3. Section 3 title": [[9, "section-3-title"]], "3. Spatial and temporal coverage": [[3, "spatial-and-temporal-coverage"]], "4. Compute the hindcast bias": [[6, "compute-the-hindcast-bias"]], "4. Plot and describe results": [[7, "plot-and-describe-results"]], "4. Section 4 title": [[9, "section-4-title"]], "5. Plot and describe results": [[6, "plot-and-describe-results"]], "5. Section 5 title": [[9, "section-5-title"]], "Analysis and results": [[3, "analysis-and-results"], [6, "analysis-and-results"], [7, "analysis-and-results"], [9, "analysis-and-results"], [10, "analysis-and-results"]], "Analysis of terciles": [[7, "analysis-of-terciles"]], "Assessment title": [[10, "assessment-title"]], "Available assessments": [[0, "available-assessments"], [1, "available-assessments"], [2, "available-assessments"], [4, "available-assessments"], [5, "available-assessments"]], "C3S EQC quality assessments": [[8, null]], "Climate projections": [[0, null]], "Compute hit-score and show a sample plot": [[7, "compute-hit-score-and-show-a-sample-plot"]], "Context text (no heading)": [[10, "context-text-no-heading"]], "Define parameters describing regions, variables, and data": [[6, "define-parameters-describing-regions-variables-and-data"], [7, "define-parameters-describing-regions-variables-and-data"]], "Define the required functions": [[6, "define-the-required-functions"], [7, "define-the-required-functions"]], "Discussion": [[6, "discussion"]], "Download and process ERA5": [[7, "download-and-process-era5"]], "Download and process seasonal forecasts": [[7, "download-and-process-seasonal-forecasts"]], "Evaluation of the hit-rate of seasonal forecasts for tercile categories of monthly anomalies": [[7, null]], "Figure": [[10, "figure"]], "Hit-rate for 2 m temperature": [[7, "hit-rate-for-2-m-temperature"]], "Hit-rate for other variables": [[7, "hit-rate-for-other-variables"]], "How to read the results": [[6, "how-to-read-the-results"]], "If you want to know more": [[3, "if-you-want-to-know-more"], [6, "if-you-want-to-know-more"], [7, "if-you-want-to-know-more"], [9, "if-you-want-to-know-more"], [10, "if-you-want-to-know-more"]], "Import required packages": [[6, "import-required-packages"], [7, "import-required-packages"]], "Insitu Observations": [[1, null]], "Key resources": [[3, "key-resources"], [6, "key-resources"], [7, "key-resources"], [9, "key-resources"]], "Layers of evaluation and quality control": [[8, "layers-of-evaluation-and-quality-control"]], "Methane satellite observations uncertainty and completeness assessment for carbon cycle": [[3, null]], "Methodology": [[3, "methodology"], [6, "methodology"], [7, "methodology"], [9, "methodology"], [10, "methodology"]], "Plot the chosen regions": [[6, "plot-the-chosen-regions"], [7, "plot-the-chosen-regions"]], "Production date and author": [[10, "production-date-and-author"]], "Quality assessment question(s)": [[9, "quality-assessment-question-s"]], "Quality assessment questions": [[3, "quality-assessment-questions"], [6, "quality-assessment-questions"], [7, "quality-assessment-questions"]], "Quality assessment statement": [[3, "quality-assessment-statement"], [6, "quality-assessment-statement"], [7, "quality-assessment-statement"], [9, "quality-assessment-statement"], [10, "quality-assessment-statement"]], "Quality assessments": [[8, "quality-assessments"]], "Reanalysis": [[2, null]], "References": [[3, "references"], [6, "references"], [7, "references"], [9, "references"]], "Results Subsections": [[9, "results-subsections"]], "Running the Notebooks": [[8, "running-the-notebooks"]], "Satellite Observations": [[4, null]], "Seasonal forecasts": [[5, null]], "Seasonal forecasts bias assessment for impact models": [[6, null]], "Show a sample global map of temperature biases": [[6, "show-a-sample-global-map-of-temperature-biases"]], "Subsections": [[9, "subsections"], [9, "id1"], [9, "id2"], [9, "id3"]], "Template instructions": [[10, null]], "These are the key outcomes of this assessment": [[3, null], [6, null], [7, null], [9, null]], "Unique quality assessment title (to be finalised by C3S), including approximately [data stream]-[quality area]-[application area]": [[9, null]], "Use case": [[10, "use-case"]], "Use case: Monitoring the carbon cycle in tropical regions": [[3, "use-case-monitoring-the-carbon-cycle-in-tropical-regions"]], "Use 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"undermin": 6, "understand": 10, "undertaken": 7, "uniqu": 10, "unit": [6, 7], "univers": [3, 7], "unlik": 6, "unstack": 7, "until": [3, 6, 7, 9], "up": [3, 9], "updat": 3, "urd": 3, "us": 8, "usabl": [3, 6, 7], "user": [3, 7, 8, 9], "utilis": 3, "v": [6, 7], "v0_8": [6, 7], "v7": 3, "valid": [6, 7], "valid_dim": 6, "valid_month": [6, 7], "valid_tim": [6, 7], "valid_year": 7, "valu": [3, 6, 7], "valuabl": [6, 7], "valueerror": 6, "var": 7, "vari": 6, "variabl": 3, "variat": 3, "varieti": 7, "varnam": 6, "varotso": 7, "vellinga": 6, "veri": [7, 9], "verif": 7, "verifi": [7, 8], "verifying_tim": 6, "version": 3, "vertic": [6, 7], "viewer": 10, "vigo": 7, "virtual": 10, "visual": 10, "visualis": 7, "voil": [6, 9], "volum": 7, "w": [3, 6, 7], "wa": [3, 7, 8, 10], "wai": [6, 7], "warm": [6, 7], "warmer": 7, "water": 7, "wave": 6, "we": [3, 6, 7, 9, 10], "wea": 7, "weak": [7, 8], "weaker": 6, "weather": 7, "weight": 6, "weisheim": 7, "well": [3, 7, 8], "were": [3, 6, 7], "west": 7, "western": [6, 7], "wetland": 3, "what": [7, 8, 9], "wheat": 6, "when": [3, 6, 7, 9, 10], "where": [6, 7, 10], "wherea": 7, "wherebi": 7, "whether": [7, 8], "which": [3, 6, 7, 8, 9, 10], "while": [3, 6, 8], "white": 6, "whole": 10, "whose": 7, "william": 6, "wilson": 3, "wind": [6, 7], "window": 7, "wine": 7, "wire": 7, "wish": 9, "within": [6, 7, 9, 10], "wmo": [3, 7], "wna": [6, 7], "wood": 7, "worden": 3, "work": [3, 6, 7, 9, 10], "workflow": 7, "world": 3, "worri": 9, "would": [3, 7, 9], "wp3": 7, "wrap": 10, "www": 9, "x": [3, 6, 7, 10], "x1": [6, 7], "xarrai": [6, 7, 9], "xch4": 3, "xch4_emma": 3, "xr": [6, 7], "xtick": 7, "xu": 6, "y": [3, 6, 7, 10], "y0": [6, 7], "ye": 7, "year": [3, 6, 7], "year_start_hindcast": [6, 7], "year_stop_hindcast": [6, 7], "yet": 7, "yield": 6, "your": 8, "ytick": 7, "yyyi": 9, "z": 3, "zero": 7, "zhang": 3, "zwier": 7}, "titles": ["Climate projections", "Insitu Observations", "Reanalysis", "Methane satellite observations uncertainty and completeness assessment for carbon cycle", "Satellite Observations", "Seasonal forecasts", "Seasonal forecasts bias assessment for impact models", "Evaluation of the hit-rate of seasonal forecasts for tercile categories of monthly anomalies", "C3S EQC quality assessments", "Unique quality assessment title (to be finalised by C3S), including approximately [data stream]-[quality area]-[application area]", "Template instructions"], "titleterms": {"": 9, "1": [3, 6, 7, 9], "2": [3, 6, 7, 9], "3": [3, 6, 7, 9], "4": [6, 7, 9], "5": [6, 9], "If": [3, 6, 7, 9, 10], "These": [3, 6, 7, 9], "agricultur": [6, 7], "an": 6, "analysi": [3, 6, 7, 9, 10], "anomali": 7, "applic": [7, 9], "approxim": 9, "ar": [3, 6, 7, 9], "area": [6, 9], "assess": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "author": 10, "avail": [0, 1, 2, 4, 5], "averag": 6, "bia": 6, "bias": 6, "c3": [8, 9], "carbon": 3, "case": [3, 6, 7, 9, 10], "categori": 7, "choos": [6, 7], "chosen": [6, 7], "climat": [0, 6], "code": [6, 7], "complet": 3, "comput": [6, 7], "context": 10, "control": 8, "coverag": 3, "cycl": 3, "data": [6, 7, 9], "date": 10, "decis": 7, "defin": [6, 7], "describ": [6, 7], "discuss": 6, "download": 7, "energi": 7, "eqc": 8, "era5": [6, 7], "evalu": [7, 8], "figur": 10, "finalis": 9, "forecast": [5, 6, 7], "full": 9, "function": [6, 7], "global": 6, "head": 10, "here": 9, "hindcast": 6, "hit": 7, "how": 6, "hydro": 7, "icon": 10, "impact": 6, "import": [6, 7], "includ": 9, "inform": 7, "input": 6, "insitu": 1, "instruct": 10, "kei": [3, 6, 7, 9], "know": [3, 6, 7, 9, 10], "layer": 8, "list": 9, "m": 7, "map": 6, "met": 7, "methan": 3, "methodologi": [3, 6, 7, 9, 10], "model": 6, "monitor": 3, "monthli": 7, "more": [3, 6, 7, 9, 10], "nation": 7, "notebook": 8, "observ": [1, 3, 4], "other": 7, "outcom": [3, 6, 7, 9], "packag": [6, 7], "paramet": [6, 7], "plot": [6, 7], "process": 7, "product": 10, "project": 0, "qualiti": [3, 6, 7, 8, 9, 10], "question": [3, 6, 7, 9, 10], "rate": 7, "read": 6, "reanalysi": 2, "refer": [3, 6, 7, 9], "region": [3, 6, 7], "requir": [6, 7], "resolut": 3, "resourc": [3, 6, 7, 9], "result": [3, 6, 7, 9, 10], "retriev": 6, "risk": 6, "run": 8, "sampl": [6, 7], "satellit": [3, 4], "score": 7, "season": [5, 6, 7], "section": 9, "servic": 7, "setup": [6, 7], "show": [6, 7], "spatial": 3, "statement": [3, 6, 7, 9, 10], "stream": 9, "subsect": 9, "temperatur": [6, 7], "templat": 10, "tempor": 3, "tercil": 7, "text": 10, "thi": [3, 6, 7, 9], "titl": [9, 10], "tropic": 3, "uncertainti": 3, "uniqu": 9, "us": [3, 6, 7, 9, 10], "user": 10, "variabl": [6, 7], "want": [3, 6, 7, 9, 10], "you": [3, 6, 7, 9, 10], "\u2139": [3, 6, 7, 9, 10]}})
\ No newline at end of file
diff --git a/pr-preview/pr-159/templates/template.html b/pr-preview/pr-159/templates/template.html
index 648692db..d61900b8 100644
--- a/pr-preview/pr-159/templates/template.html
+++ b/pr-preview/pr-159/templates/template.html
@@ -413,11 +413,11 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-use-case-listed-here-in-full">Use case: Use case listed here in full</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-question-s">Quality assessment question(s)</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">Quality assessment statement</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">Methodology</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">Analysis and results</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-use-case-listed-here-in-full">🌍 Use case: Use case listed here in full</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-question-s">❓ Quality assessment question(s)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">📢 Quality assessment statement</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">📋 Methodology</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">📈 Analysis and results</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#section-1-title">1. Section 1 title</a><ul class="nav section-nav flex-column">
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#subsections">Subsections</a></li>
 </ul>
@@ -440,7 +440,7 @@ <h2> Contents </h2>
 </li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-want-to-know-more">If you want to know more</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#i-if-you-want-to-know-more">ℹ️ If you want to know more</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#key-resources">Key resources</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#references">References</a></li>
 </ul>
@@ -459,15 +459,19 @@ <h2> Contents </h2>
   <p><img alt="logo" src="../_images/LogoLine_horizon_C3S1.png" /></p>
 <div class="alert alert-block alert-warning">
 Please note that this repository is used for development and review, so quality assessments should be considered work in progress until they are merged into the main branch
-</div><section class="tex2jax_ignore mathjax_ignore" id="unique-quality-assessment-title-to-be-finalised-by-c3s-including-approximately-data-stream-quality-area-application-area">
+</div><div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>If anything is unclear with the templates, or if you encounter any problems, please report them at <a class="reference external" href="https://github.com/ecmwf-projects/c3s2-eqc-quality-assessment/issues/164">GH164</a>.</p>
+</div>
+<section class="tex2jax_ignore mathjax_ignore" id="unique-quality-assessment-title-to-be-finalised-by-c3s-including-approximately-data-stream-quality-area-application-area">
 <h1>Unique quality assessment title (to be finalised by C3S), including approximately [data stream]-[quality area]-[application area]<a class="headerlink" href="#unique-quality-assessment-title-to-be-finalised-by-c3s-including-approximately-data-stream-quality-area-application-area" title="Link to this heading">#</a></h1>
 <p>Production date: DD-MM-YYYY</p>
 <p>Produced by: ‘institute’ and/or ‘author’, otherwise ‘EQC evaluator’</p>
 <section id="use-case-use-case-listed-here-in-full">
-<h2>Use case: Use case listed here in full<a class="headerlink" href="#use-case-use-case-listed-here-in-full" title="Link to this heading">#</a></h2>
+<h2>🌍 Use case: Use case listed here in full<a class="headerlink" href="#use-case-use-case-listed-here-in-full" title="Link to this heading">#</a></h2>
 </section>
 <section id="quality-assessment-question-s">
-<h2>Quality assessment question(s)<a class="headerlink" href="#quality-assessment-question-s" title="Link to this heading">#</a></h2>
+<h2>❓ Quality assessment question(s)<a class="headerlink" href="#quality-assessment-question-s" title="Link to this heading">#</a></h2>
 <ul class="simple">
 <li><p><strong>In most cases there should be one question listed here in bold</strong></p></li>
 <li><p><strong>(In some cases a second related/follow-up question may be included)</strong></p></li>
@@ -475,7 +479,7 @@ <h2>Quality assessment question(s)<a class="headerlink" href="#quality-assessmen
 <p><strong>‘Context’ (no title/heading)</strong> - a very short introduction before the assessment statement describing approach taken to answer the user question. One or two key references could be useful,  if the assessment summarises literature (referenced directly in the text, or with numerical labels like this (also listed at the end) <code class="docutils literal notranslate"><span class="pre">[[1]](https://www.nature.com/articles/s41598-018-20628-2))</span></code>giving: <a class="reference external" href="https://www.nature.com/articles/s41598-018-20628-2">[1]</a>).</p>
 </section>
 <section id="quality-assessment-statement">
-<h2>Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
+<h2>📢 Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
 <div class="note admonition">
 <p class="admonition-title">These are the key outcomes of this assessment</p>
 <ul class="simple">
@@ -485,15 +489,15 @@ <h2>Quality assessment statement<a class="headerlink" href="#quality-assessment-
 <li><p>etc</p></li>
 </ul>
 </div>
-<p><em>(Delete this cell)</em> A <strong>‘key figure’</strong> could be included if appropriate (think of this as a ‘graphical abstract’, that may also be used as a thumbnail in the CDS or Jupyter Book). Since this image (or any other embedded image) is not generated directly from code it needs to be embedded, this will look like: <code class="docutils literal notranslate"><span class="pre">![](attachment:4cf358c8-5758-431e-bf74-dc6fdcc4e88f.png)</span></code>.</p>
-<p>There is an option for images to be dragged and dropped from an external file browser into the markdown cell in most Jupyter editors. The image is then encoded with Base64, and no external file is needed. The attachment code can then be used in the <code class="docutils literal notranslate"><span class="pre">![](attachment:.....)</span></code> formatting, or copied and used in a ‘figure’ syntax if needed (see below). The <code class="docutils literal notranslate"><span class="pre">attachment:...</span></code> only works in the cell which you dragged and dropped the image into.</p>
-<p>Basic markdown image <code class="docutils literal notranslate"><span class="pre">![](attachment:76012e1e-eb2e-4973-9856-ea2d755dd01e.png)</span></code> (but no formatting options, so the image must be the right size, and already contain a figure number and caption if needed):</p>
+<p><em>(Delete this cell)</em> A <strong>‘key figure’</strong> should be included if appropriate (think of this as a ‘graphical abstract’, that may also be used as a thumbnail in the CDS or the Jupyter Book in the future). Since this image (or any other embedded image) is not generated directly from code it needs to be ‘embedded’, this will look like: <code class="docutils literal notranslate"><span class="pre">![](attachment:4cf358c8-5758-431e-bf74-dc6fdcc4e88f.png)</span></code>.</p>
+<p>There is an option for images to be dragged and dropped from an external file browser into the markdown cell in most Jupyter editors. The image is then encoded with Base64 within the cell, and no additional file is needed. The attachment code can then be used in the <code class="docutils literal notranslate"><span class="pre">![](attachment:.....)</span></code> formatting, or copied and used in a ‘figure’ syntax if needed (see below). The <code class="docutils literal notranslate"><span class="pre">attachment:...</span></code> only works in the cell which you dragged and dropped the image into.</p>
+<p>A basic markdown image can be displayed with <code class="docutils literal notranslate"><span class="pre">![](attachment:76012e1e-eb2e-4973-9856-ea2d755dd01e.png)</span></code> (but no formatting options, so the image must be the right size, and already contain a figure number/label and caption if needed, or text can be added below the image).</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
-<p>The caption should include attribution if it is taken from an external source (if the copyright allows reproduction!).</p>
+<p>Most figures will need a caption. The caption should include attribution if it is taken from an external source (if the copyright allows reproduction!).</p>
 </div>
 <p><img alt="" src="../_images/76012e1e-eb2e-4973-9856-ea2d755dd01e.png" /></p>
-<p><em>(Delete this cell)</em> Figure formatting to be used if figure numbering and caption is not included in the image file (do not worry that the image does not appear in Github, it will work when Jupyter Book page is created):</p>
+<p><em>(Delete this cell)</em> Figure formatting to be used if figure numbering and caption is not included in the image file (do not worry that the image does not appear in Github, it will work when Jupyter Book page is created, as will the automatic numbering):</p>
 <div class="highlight-md notranslate"><div class="highlight"><pre><span></span><span class="gu">```{figure} attachment:50418e7c-3008-466c-b26e-c9033a28668d.png</span>
 <span class="gu">---</span>
 <span class="gu">height: 150px</span>
@@ -502,6 +506,7 @@ <h2>Quality assessment statement<a class="headerlink" href="#quality-assessment-
 ```
 </pre></div>
 </div>
+<p>The height parameter should be adjusted as needed.</p>
 <figure class="align-default" id="id4">
 <a class="reference internal image-reference" href="../_images/4b6a6f92-2865-4454-a23d-7e1d4a7d3a4d.png"><img alt="../_images/4b6a6f92-2865-4454-a23d-7e1d4a7d3a4d.png" src="../_images/4b6a6f92-2865-4454-a23d-7e1d4a7d3a4d.png" style="height: 150px;" /></a>
 <figcaption>
@@ -510,7 +515,7 @@ <h2>Quality assessment statement<a class="headerlink" href="#quality-assessment-
 </figure>
 </section>
 <section id="methodology">
-<h2>Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>
+<h2>📋 Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>
 <p>A ‘free text’ introduction to the data analysis steps or a description of the literature synthesis, with a justification of the approach taken, and limitations mentioned. <strong>Mention which CDS catalogue entry is used, including a link, and also any other entries used for the assessment</strong>.</p>
 <p>Followed by a numbered list of the methodology and results, with the same headings as the sections under ‘Analysis and Results’. These should be links to the sections below, using the format <code class="docutils literal notranslate"><span class="pre">[](section-label)</span></code>.</p>
 <div class="admonition note">
@@ -546,7 +551,7 @@ <h2>Methodology<a class="headerlink" href="#methodology" title="Link to this hea
 <p>Any further notes on the method could go here (explanations, caveats or limitations).</p>
 </section>
 <section id="analysis-and-results">
-<h2>Analysis and results<a class="headerlink" href="#analysis-and-results" title="Link to this heading">#</a></h2>
+<h2>📈 Analysis and results<a class="headerlink" href="#analysis-and-results" title="Link to this heading">#</a></h2>
 <section id="section-1-title">
 <span id="template-section-1"></span><h3>1. Section 1 title<a class="headerlink" href="#section-1-title" title="Link to this heading">#</a></h3>
 <section id="subsections">
@@ -666,8 +671,8 @@ <h4>Results Subsections<a class="headerlink" href="#results-subsections" title="
 </section>
 </section>
 </section>
-<section id="if-you-want-to-know-more">
-<h2>If you want to know more<a class="headerlink" href="#if-you-want-to-know-more" title="Link to this heading">#</a></h2>
+<section id="i-if-you-want-to-know-more">
+<h2>ℹ️ If you want to know more<a class="headerlink" href="#i-if-you-want-to-know-more" title="Link to this heading">#</a></h2>
 <section id="key-resources">
 <h3>Key resources<a class="headerlink" href="#key-resources" title="Link to this heading">#</a></h3>
 <p>List some key resources related to this assessment. E.g. CDS entries, applications, dataset documentation, external pages.
@@ -741,11 +746,11 @@ <h3>References<a class="headerlink" href="#references" title="Link to this headi
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-use-case-listed-here-in-full">Use case: Use case listed here in full</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-question-s">Quality assessment question(s)</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">Quality assessment statement</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">Methodology</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">Analysis and results</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case-use-case-listed-here-in-full">🌍 Use case: Use case listed here in full</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-question-s">❓ Quality assessment question(s)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">📢 Quality assessment statement</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">📋 Methodology</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">📈 Analysis and results</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#section-1-title">1. Section 1 title</a><ul class="nav section-nav flex-column">
 <li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#subsections">Subsections</a></li>
 </ul>
@@ -768,7 +773,7 @@ <h3>References<a class="headerlink" href="#references" title="Link to this headi
 </li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-want-to-know-more">If you want to know more</a><ul class="nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#i-if-you-want-to-know-more">ℹ️ If you want to know more</a><ul class="nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#key-resources">Key resources</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#references">References</a></li>
 </ul>
diff --git a/pr-preview/pr-159/templates/template_instructions.html b/pr-preview/pr-159/templates/template_instructions.html
index f23effa0..02ff7754 100644
--- a/pr-preview/pr-159/templates/template_instructions.html
+++ b/pr-preview/pr-159/templates/template_instructions.html
@@ -414,16 +414,16 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#assessment-title">Assessment title</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#assessment-title-no-icons">Assessment title (no icons)</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#production-date-and-author">Production date and author</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case">Use case</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#user-question">User question</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#context-text-no-heading">Context text (no heading)</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">Quality assessment statement</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#figure">Figure</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">Methodology</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">Analysis and results</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-want-to-know-more">If you want to know more</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case">🌍 Use case</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#user-question">❓ User question</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#context-text-no-heading-or-icon">Context text (no heading or icon)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">📢 Quality assessment statement</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#figure-no-heading-or-icon">Figure (no heading or icon)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">📋 Methodology</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">📈 Analysis and results</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#i-if-you-want-to-know-more">ℹ️ If you want to know more</a></li>
 </ul>
             </nav>
         </div>
@@ -438,6 +438,10 @@ <h2> Contents </h2>
   <p><img alt="logo" src="../_images/LogoLine_horizon_C3S.png" /></p>
 <section class="tex2jax_ignore mathjax_ignore" id="template-instructions">
 <h1>Template instructions<a class="headerlink" href="#template-instructions" title="Link to this heading">#</a></h1>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>If anything is unclear with the templates, or if you encounter any problems, please report them at <a class="reference external" href="https://github.com/ecmwf-projects/c3s2-eqc-quality-assessment/issues/164">GH164</a>.</p>
+</div>
 <p>Instructions for the <a class="reference internal" href="template.html"><span class="std std-doc">Jupyter Notebook template for quality assessments</span></a>. This template aims to ensure consistency in content and the look and feel of the assessment once it is included in the <a class="reference external" href="https://ecmwf-projects.github.io/c3s2-eqc-quality-assessment/intro.html">Jupyter Book</a>. The syntax includes MyST formatting needed for the Jupyter Book which will not render in all Jupyter Notebook viewers, or GitHub, but works in Jupyter Lab on the Virtual Machine.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -446,13 +450,14 @@ <h1>Template instructions<a class="headerlink" href="#template-instructions" tit
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>Please follow the headings and subheadings approach used in the template. The level of the heading is determined by the number of hashes before it (#Title, ##Use case, etc.). The following link should be helpful: <a class="reference external" href="https://jupyterbook.org/en/stable/reference/cheatsheet.html">https://jupyterbook.org/en/stable/reference/cheatsheet.html</a></p>
+<p>Also note that icons have been added to most of the headings. These are standardised so should be the same for each assessment.</p>
 </div>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>There is a new approach to linking the methodology list to the subsections in analysis and results.</p>
 </div>
-<section id="assessment-title">
-<h2>Assessment title<a class="headerlink" href="#assessment-title" title="Link to this heading">#</a></h2>
+<section id="assessment-title-no-icons">
+<h2>Assessment title (no icons)<a class="headerlink" href="#assessment-title-no-icons" title="Link to this heading">#</a></h2>
 <p>We do not aim to be completely prescriptive about the title, it should be readable and descriptive, but also include some key tags to increase searchability, e.g. <em>Seasonal forecasts bias assessment for impact models</em>.</p>
 <ul class="simple">
 <li><p><strong>Data stream</strong>: Satellite (observations), Insitu (observations), Reanalysis, Seasonal (Forecasts), Climate (projections)</p></li>
@@ -473,35 +478,35 @@ <h2>Production date and author<a class="headerlink" href="#production-date-and-a
 <p>Include a production date (approximating when the data was downloaded and code first run, or document first accessed). Optionally, the author(s) can be acknowledge, by name and/or institute, or instead ‘EQC evaluator’.</p>
 </section>
 <section id="use-case">
-<h2>Use case<a class="headerlink" href="#use-case" title="Link to this heading">#</a></h2>
+<h2>🌍 Use case<a class="headerlink" href="#use-case" title="Link to this heading">#</a></h2>
 <p>The use case is listed directly in the heading of the section: <code class="docutils literal notranslate"><span class="pre">##</span> <span class="pre">Use</span> <span class="pre">case:</span> <span class="pre">...</span></code></p>
 </section>
 <section id="user-question">
-<h2>User question<a class="headerlink" href="#user-question" title="Link to this heading">#</a></h2>
+<h2>❓ User question<a class="headerlink" href="#user-question" title="Link to this heading">#</a></h2>
 <p>User question, or User questions, if more than one question is answered in the assessment, or if a second question helps clarify the aim of the assessment. The question or questions are bold and highlighted with bullet points.</p>
 </section>
-<section id="context-text-no-heading">
-<h2>Context text (no heading)<a class="headerlink" href="#context-text-no-heading" title="Link to this heading">#</a></h2>
+<section id="context-text-no-heading-or-icon">
+<h2>Context text (no heading or icon)<a class="headerlink" href="#context-text-no-heading-or-icon" title="Link to this heading">#</a></h2>
 <p>A section of text with no heading which appears after the user question and before the quality assessment statement. References can be used to link to examples of relevant literature or example applications relevant to the use case and user question. It should be as short as possible, but contain enough information for users to understand the context of the assessment and the main approach to be used. Together with the assessment title, use case and user question, and assessment statement all key information should be contained at the top of the assessment.</p>
 </section>
 <section id="quality-assessment-statement">
-<h2>Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
+<h2>📢 Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
 <p>Key results and guidance including an answer to the user question - to be visually highlighted and with the section title ‘Quality assessment statement’.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>The blue notification box that contains the quality assessment statement bullet points will not appear in GitHub, but will be rendered when the Jupyter Book page is created.</p>
 </div>
 </section>
-<section id="figure">
-<h2>Figure<a class="headerlink" href="#figure" title="Link to this heading">#</a></h2>
-<p>A key figure should be included if possible, acting as a ‘graphical abstract’ for the assessment. This could be a figure generated later in the code, or from an external source (if licensing allows reproduction) - in this case the source should be cited in the caption. Images should be dragged and dropped into the markdown cell, which created an ‘attachment code’, and the external file is no longer needed. If the image file already includes a figure number and the caption then simple syntax can be used (<code class="docutils literal notranslate"><span class="pre">![](attachment:...</span> <span class="pre">ID</span> <span class="pre">from</span> <span class="pre">drag</span> <span class="pre">and</span> <span class="pre">drop)</span></code>). Otherwise, figure formatting can be used, where the attachment code from the drag and drop needs to be wrapped in the figure syntax. This approach should also be followed if images not generated by code are included later in the assessment.</p>
+<section id="figure-no-heading-or-icon">
+<h2>Figure (no heading or icon)<a class="headerlink" href="#figure-no-heading-or-icon" title="Link to this heading">#</a></h2>
+<p>A key figure should be included if possible, acting as a ‘graphical abstract’ for the assessment. This could be a figure generated later in the code, or from an external source (if licensing allows reproduction) - in this case the source should be cited in the caption. Images should be dragged and dropped into the markdown cell, which created an ‘attachment code’, and the external file is no longer needed. If the image file already includes a figure number and the caption then simple syntax can be used (<code class="docutils literal notranslate"><span class="pre">![](attachment:...</span> <span class="pre">ID</span> <span class="pre">from</span> <span class="pre">drag</span> <span class="pre">and</span> <span class="pre">drop)</span></code>). Otherwise, figure formatting can be used (see the template), where the attachment code from the drag and drop needs to be wrapped in the figure syntax. This approach should also be followed if images not generated by code are included later in the assessment.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
-<p>The figure formatting will not render in Github, but will work when the Jupyter Book page is built.</p>
+<p>The figure formatting will not render in Github, but will work when the Jupyter Book page is built. Also note that the figure numbering is automatic, and applied across the whole Book (each Notebook does not start at 1 - this may be changed in the future).</p>
 </div>
 </section>
 <section id="methodology">
-<h2>Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>
+<h2>📋 Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>
 <p>Some text to introduce the methodology, including relevant sources, followed by a numbered list of the analysis steps under the ‘analysis and results’ section. The headings of each list item should link to the sections within ‘Analysis and results’ - this needs to be done manually. Extra steps or explanations can be added in the bullets between each numbered item.</p>
 <p>The syntax for the link in the methodology list is: <code class="docutils literal notranslate"><span class="pre">[](section-1)</span></code>, where no text in the square brackets is needed (the heading of the corresponding section in ‘Analysis and Results’ will be shown automatically), and the label in the circle brackets is the manually set label used later to identify the section in question like</p>
 <div class="highlight-md notranslate"><div class="highlight"><pre><span></span>(section-1)=
@@ -510,11 +515,11 @@ <h2>Methodology<a class="headerlink" href="#methodology" title="Link to this hea
 </div>
 </section>
 <section id="analysis-and-results">
-<h2>Analysis and results<a class="headerlink" href="#analysis-and-results" title="Link to this heading">#</a></h2>
+<h2>📈 Analysis and results<a class="headerlink" href="#analysis-and-results" title="Link to this heading">#</a></h2>
 <p>A series of subsections with the same titles as in the listen in the methodology. In turn, these can have their own subsections. Code cells will be collapsed when the Jupyter Book is built. The final results should be clearly presented and discussed, supporting (but not repeating), the quality assessment statement.</p>
 </section>
-<section id="if-you-want-to-know-more">
-<h2>If you want to know more<a class="headerlink" href="#if-you-want-to-know-more" title="Link to this heading">#</a></h2>
+<section id="i-if-you-want-to-know-more">
+<h2>ℹ️ If you want to know more<a class="headerlink" href="#i-if-you-want-to-know-more" title="Link to this heading">#</a></h2>
 <p>Including a key resources subsection, which can link to suggested further reading, code packages used, and the relevant CDS catalogue entries.</p>
 <p>Including a references subsection, which is a numbered list of the references used throughout the text. However, the references in the text will link to the external source, rather than the references list at the bottom of the assessment.</p>
 </section>
@@ -584,16 +589,16 @@ <h2>If you want to know more<a class="headerlink" href="#if-you-want-to-know-mor
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#assessment-title">Assessment title</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#assessment-title-no-icons">Assessment title (no icons)</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#production-date-and-author">Production date and author</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case">Use case</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#user-question">User question</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#context-text-no-heading">Context text (no heading)</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">Quality assessment statement</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#figure">Figure</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">Methodology</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">Analysis and results</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#if-you-want-to-know-more">If you want to know more</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#use-case">🌍 Use case</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#user-question">❓ User question</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#context-text-no-heading-or-icon">Context text (no heading or icon)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#quality-assessment-statement">📢 Quality assessment statement</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#figure-no-heading-or-icon">Figure (no heading or icon)</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#methodology">📋 Methodology</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#analysis-and-results">📈 Analysis and results</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#i-if-you-want-to-know-more">ℹ️ If you want to know more</a></li>
 </ul>
   </nav></div>