Deploy preview for PR 142 🛫

pr-preview/pr-142/Satellite_ECVs/Cryosphere/satellite_derived-gridded-glacier-mass-change_data-completeness_q01.html

@@ -476,13 +476,16 @@ <h2>❓ Quality assessment question<a class="headerlink" href="#quality-assessme
 </section>
 <section id="quality-assessment-statement">
 <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">
 <li><p>The glaciers mass change dataset on the Climate Data Store (CDS) is currently the most complete dataset of glacier mass change data in terms of its spatial coverage. It is generally considered the main reference dataset to determine the glaciers mass change across the globe.</p></li>
 <li><p>A quantitative pixel-by-pixel error estimate is available for the dataset in the form of precision errors (reported as 1.96 times the standard deviation). When evaluating these data, it can be seen that a decreasing trend with respect to mean overall glacier mass change uncertainties over time is present. During the earlier years of the dataset, the overall average  uncertainty values (considered as an arithmetic mean over the entire globe for a certain year) do not meet the minimum threshold proposed by the GCOS (GCOS, 2022). During the more recent years (after 2000 CE), the threshold is, albeit narrowly, met. Nevertheless, there is a high spatial heterogeneity of these uncertainty values. Especially peripheral glaciers of the Greenland and Antarctic ice sheets exhibit clearly too high error values. For error propagation, it is, however, not stated whether errors are spatially or temporally correlated.</p></li>
 <li><p>The data can be considered highly mature and complete in terms of its spatial and temporal coverage. Global glacier areas and their trend over time, that are used as input data for the glacier mass change calculations, agree well with values from other reference datasets and numbers found in the literature. There are no data gaps in space, nor in time and the dataset thus takes into account realistic glacier area changes to derive glacier mass changes over time. The glacier area change is, however, parameterized as a regional linear decrease over time and hence not given from direct observations.</p></li>
 <li><p>Given the above, it can be stated that the dataset is found to be highly suitable to monitor and derive global (cumulative) mass changes over time and to, for example, assess the corresponding impact on global sea level changes in the context of Earth System modeling and climate change monitoring. The dataset has sufficient quality in terms of its precision error (which is especially true during the more recent years and outside of the peripheral areas of Antarctica and Greenland) and its consistency with respect to spatial (i.e. global) and temporal (i.e. since 1975-76) coverage, as there are no data gaps. Nevertheless, it must be stressed that not all pixels meet the minimum GCOS threshold in terms of precision and thus require extra care. Moreover, in order to calculate effective global sea level changes (i.e. to exclude glacier ice that does not contribute to global sea level changes), additional external information is required from the user.</p></li>
 <li><p>When using the glacier mass change dataset that is available on the CDS, users should be aware of other typical problems with the dataset. One of such problems is the fact that data can not be consulted at the individual glacier-scale and that it is hence impossible to determine the number of sampled glaciers in a particular year for which mass or elevation changes and their error estimates are available. This lacking info can impact the quality and suitability of the data for similar glaciological, hydrological, and climatological applications. Data were furthermore measured and generated by different institutes/research groups and from different methods (i.e. the in-situ glaciological and satellite-based geodetic methods). As such, they were (with a high degree of certainty) not compiled in a fully consistent way for the entire dataset.</p></li>
 </ul>
+</div>
 </section>
 <section id="methodology">
 <h2>📋 Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>

pr-preview/pr-142/Satellite_ECVs/Cryosphere/satellite_derived-gridded-glacier-mass-change_trend-assessment_q02.html

@@ -476,13 +476,16 @@ <h2>❓ Quality assessment question<a class="headerlink" href="#quality-assessme
 </section>
 <section id="quality-assessment-statement">
 <h2>📢 Quality assessment statement<a class="headerlink" href="#quality-assessment-statement" title="Link to this heading">#</a></h2>
+<div class="admonition-these-are-the-key-outcomes-of-this-assessment admonition">
+<p class="admonition-title">These are the key outcomes of this assessment</p>
 <ul class="simple">
 <li><p>The glaciers mass change dataset that is on the CDS is currently the most complete dataset of glacier mass change data in terms of its spatial coverage. It is generally considered the main reference dataset to determine the glaciers mass change across the globe.</p></li>
 <li><p>The data can be considered highly mature and complete in terms of its spatial and temporal coverage. The glacier mass change products are at this stage therefore found to be highly suitable to derive statistical properties such as mean, variability and trends (and hence to deduce climate change signals), as there are no spatial/temporal gaps in the data series, the temporal resolution is consistent at a yearly basis, and the number of consecutive years (the data record length) is sufficient (&gt; 30 years) to filter out interannual variability. The gridded nature of the dataset furthermore allows to monitor climate change on the local, regional and global scale.</p></li>
 <li><p>There is, however, no information given related to quantitative estimates of the sampling density (e.g. the number of sampled glaciers per grid point or the number of glaciers with either a glaciological or geodetic mass balance sample per grid point). This can be important because glaciers with a seasonal to annual glaciological (i.e. the ‘surface’ mass balance) sample (ca. 500 glaciers) form the basis for the determination of annual mass changes from a broader set of multi-annual to decadal geodetic mass balances (i.e. the ‘total’ mass balance, including internal and basal mass balance) of neigbouring glaciers (ca. 208,000 glaciers), which may affect the mass change representativeness if these glaciers are located at large distances from each other.</p></li>
 <li><p>In other words, despite some limitations related to the lack of quantitative estimates of the sampling density and the reliance of the data on a smaller subset of annually sampled glaciers, the dataset is found to be highly suitable to monitor and derive global (cumulative) mass changes in space and time and to, for example, use the glacier mass change data as climate change indicators in the context of climate change monitoring. The dataset has thus sufficient quality in terms of its spatial (0.5 by 0.5 degrees) and temporal (annual) resolution (when compared to the minimum GCOS requirements) and spatial (i.e. global) and temporal (i.e. since 1975-76) coverage/extent. The observed accelerated decrease in mass change over time on a global scale aligns with theoretical considerations, adding further credibility to the dataset.</p></li>
 <li><p>When using the glacier mass change dataset that is available on the CDS, users should be aware of other typical problems with the dataset. One of such problems is the fact that data can not be consulted at the individual glacier-scale. This can impact the quality and suitability of the data for similar glaciological, hydrological, and climatological applications, such as for example for the purpose of water resource management at the local (individual glaciers) scale. Data were furthermore measured and generated by different institutes/research groups and from different methods (i.e. the in-situ glaciological and satellite-based geodetic methods). As such, they were (with a high degree of certainty) not compiled in a fully consistent way for the entire dataset.</p></li>
 </ul>
+</div>
 </section>
 <section id="methodology">
 <h2>📋 Methodology<a class="headerlink" href="#methodology" title="Link to this heading">#</a></h2>

pr-preview/pr-142/_sources/Satellite_ECVs/Cryosphere/satellite_derived-gridded-glacier-mass-change_data-completeness_q01.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "6e53d442",
+   "id": "1deb6f44",
    "metadata": {
     "tags": []
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@@ -12,7 +12,7 @@
   },
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-   "id": "72cfded5",
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     "tags": [
      "disclaimer"
@@ -98,11 +98,14 @@
     "tags": []
    },
    "source": [
+    "```{admonition} These are the key outcomes of this assessment\n",
+    ":class: note\n",
     "- The glaciers mass change dataset on the Climate Data Store (CDS) is currently the most complete dataset of glacier mass change data in terms of its spatial coverage. It is generally considered the main reference dataset to determine the glaciers mass change across the globe.\n",
     "- A quantitative pixel-by-pixel error estimate is available for the dataset in the form of precision errors (reported as 1.96 times the standard deviation). When evaluating these data, it can be seen that a decreasing trend with respect to mean overall glacier mass change uncertainties over time is present. During the earlier years of the dataset, the overall average  uncertainty values (considered as an arithmetic mean over the entire globe for a certain year) do not meet the minimum threshold proposed by the GCOS (GCOS, 2022). During the more recent years (after 2000 CE), the threshold is, albeit narrowly, met. Nevertheless, there is a high spatial heterogeneity of these uncertainty values. Especially peripheral glaciers of the Greenland and Antarctic ice sheets exhibit clearly too high error values. For error propagation, it is, however, not stated whether errors are spatially or temporally correlated.\n",
     "- The data can be considered highly mature and complete in terms of its spatial and temporal coverage. Global glacier areas and their trend over time, that are used as input data for the glacier mass change calculations, agree well with values from other reference datasets and numbers found in the literature. There are no data gaps in space, nor in time and the dataset thus takes into account realistic glacier area changes to derive glacier mass changes over time. The glacier area change is, however, parameterized as a regional linear decrease over time and hence not given from direct observations.\n",
     "- Given the above, it can be stated that the dataset is found to be highly suitable to monitor and derive global (cumulative) mass changes over time and to, for example, assess the corresponding impact on global sea level changes in the context of Earth System modeling and climate change monitoring. The dataset has sufficient quality in terms of its precision error (which is especially true during the more recent years and outside of the peripheral areas of Antarctica and Greenland) and its consistency with respect to spatial (i.e. global) and temporal (i.e. since 1975-76) coverage, as there are no data gaps. Nevertheless, it must be stressed that not all pixels meet the minimum GCOS threshold in terms of precision and thus require extra care. Moreover, in order to calculate effective global sea level changes (i.e. to exclude glacier ice that does not contribute to global sea level changes), additional external information is required from the user.\n",
-    "- When using the glacier mass change dataset that is available on the CDS, users should be aware of other typical problems with the dataset. One of such problems is the fact that data can not be consulted at the individual glacier-scale and that it is hence impossible to determine the number of sampled glaciers in a particular year for which mass or elevation changes and their error estimates are available. This lacking info can impact the quality and suitability of the data for similar glaciological, hydrological, and climatological applications. Data were furthermore measured and generated by different institutes/research groups and from different methods (i.e. the in-situ glaciological and satellite-based geodetic methods). As such, they were (with a high degree of certainty) not compiled in a fully consistent way for the entire dataset."
+    "- When using the glacier mass change dataset that is available on the CDS, users should be aware of other typical problems with the dataset. One of such problems is the fact that data can not be consulted at the individual glacier-scale and that it is hence impossible to determine the number of sampled glaciers in a particular year for which mass or elevation changes and their error estimates are available. This lacking info can impact the quality and suitability of the data for similar glaciological, hydrological, and climatological applications. Data were furthermore measured and generated by different institutes/research groups and from different methods (i.e. the in-situ glaciological and satellite-based geodetic methods). As such, they were (with a high degree of certainty) not compiled in a fully consistent way for the entire dataset.\n",
+    "```"
    ]
   },
   {

pr-preview/pr-142/_sources/Satellite_ECVs/Cryosphere/satellite_derived-gridded-glacier-mass-change_trend-assessment_q02.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "5551b698",
+   "id": "c5c74d1e",
    "metadata": {
     "tags": []
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@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d2dbdbc0",
+   "id": "826382bf",
    "metadata": {
     "tags": [
      "disclaimer"
@@ -98,11 +98,13 @@
     "tags": []
    },
    "source": [
+    "```{admonition} These are the key outcomes of this assessment\n",
     "- The glaciers mass change dataset that is on the CDS is currently the most complete dataset of glacier mass change data in terms of its spatial coverage. It is generally considered the main reference dataset to determine the glaciers mass change across the globe.\n",
     "- The data can be considered highly mature and complete in terms of its spatial and temporal coverage. The glacier mass change products are at this stage therefore found to be highly suitable to derive statistical properties such as mean, variability and trends (and hence to deduce climate change signals), as there are no spatial/temporal gaps in the data series, the temporal resolution is consistent at a yearly basis, and the number of consecutive years (the data record length) is sufficient (> 30 years) to filter out interannual variability. The gridded nature of the dataset furthermore allows to monitor climate change on the local, regional and global scale.\n",
     "- There is, however, no information given related to quantitative estimates of the sampling density (e.g. the number of sampled glaciers per grid point or the number of glaciers with either a glaciological or geodetic mass balance sample per grid point). This can be important because glaciers with a seasonal to annual glaciological (i.e. the 'surface' mass balance) sample (ca. 500 glaciers) form the basis for the determination of annual mass changes from a broader set of multi-annual to decadal geodetic mass balances (i.e. the 'total' mass balance, including internal and basal mass balance) of neigbouring glaciers (ca. 208,000 glaciers), which may affect the mass change representativeness if these glaciers are located at large distances from each other.\n",
     "- In other words, despite some limitations related to the lack of quantitative estimates of the sampling density and the reliance of the data on a smaller subset of annually sampled glaciers, the dataset is found to be highly suitable to monitor and derive global (cumulative) mass changes in space and time and to, for example, use the glacier mass change data as climate change indicators in the context of climate change monitoring. The dataset has thus sufficient quality in terms of its spatial (0.5 by 0.5 degrees) and temporal (annual) resolution (when compared to the minimum GCOS requirements) and spatial (i.e. global) and temporal (i.e. since 1975-76) coverage/extent. The observed accelerated decrease in mass change over time on a global scale aligns with theoretical considerations, adding further credibility to the dataset.\n",
-    "- When using the glacier mass change dataset that is available on the CDS, users should be aware of other typical problems with the dataset. One of such problems is the fact that data can not be consulted at the individual glacier-scale. This can impact the quality and suitability of the data for similar glaciological, hydrological, and climatological applications, such as for example for the purpose of water resource management at the local (individual glaciers) scale. Data were furthermore measured and generated by different institutes/research groups and from different methods (i.e. the in-situ glaciological and satellite-based geodetic methods). As such, they were (with a high degree of certainty) not compiled in a fully consistent way for the entire dataset."
+    "- When using the glacier mass change dataset that is available on the CDS, users should be aware of other typical problems with the dataset. One of such problems is the fact that data can not be consulted at the individual glacier-scale. This can impact the quality and suitability of the data for similar glaciological, hydrological, and climatological applications, such as for example for the purpose of water resource management at the local (individual glaciers) scale. Data were furthermore measured and generated by different institutes/research groups and from different methods (i.e. the in-situ glaciological and satellite-based geodetic methods). As such, they were (with a high degree of certainty) not compiled in a fully consistent way for the entire dataset.\n",
+    "```"
    ]
   },
   {

pr-preview/pr-142/_sources/templates/template.ipynb

@@ -2,7 +2,7 @@
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@@ -12,7 +12,7 @@
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