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AA

(Non)linear atmospheric response to Arctic Amplification forcing using the SC-WACCM4 and E3SMv1 models.

Under construction... [Python 3.7]

Contact

Zachary Labe - Research Website - @ZLabe

Description

  • Scripts/: Main Python scripts/functions used in data analysis and plotting
  • requirements.txt: List of environments and modules associated with the most recent version of this project. A Python Anaconda3 Distribution was used for our analysis. All AGCM experiments were processed through resources on CISL's Cheyenne supercomputer. Tools including NCL, CDO, and NCO were also used for initial data manipulation.

Data

  • AA/UTW Nudging Experiments : [DATA]
    • Peings, Y., Cattiaux, J., & Magnusdottir, G. (2019). The Polar Stratosphere as an Arbiter of the Projected Tropical Versus Polar Tug of War. Geophysical Research Letters, 46(15), 9261-9270. doi.org/10.1029/2019GL082463 [Publication]
  • Energy Exascale Earth System Model (E3SMv1) : [DATA]
    • Golaz, J. C., Caldwell, P. M., Van Roekel, L. P., Petersen, M. R., Tang, Q., Wolfe, J. D., ... & Baldwin, S. A. (2019). The DOE E3SM coupled model version 1: Overview and evaluation at standard resolution. Journal of Advances in Modeling Earth Systems, doi:10.1029/2018MS001603 [Publication]
  • ERA5 : [DATA]
    • Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., ... & Simmons, A. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, doi:10.1002/qj.3803 [Publication]
  • NCEP/NCAR Reanalysis 1 (R1): [DATA]
    • Kalnay, E., and co-authors, 1996: The NCEP/NCAR 40-year reanalysis project. Bulletin of the American meteorological Society, 77(3), 437-471 [Publication]
  • Polar Amplification Model Intercomparison Project (PAMIP) : [DATA]
    • Smith, D. M., Screen, J. A., Deser, C., Cohen, J., Fyfe, J. C., García-Serrano, J., ... & Peings, Y. (2019). The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification. Geoscientific Model Development, 12(3), 1139-1164. doi:10.5194/gmd-12-1139-2019 [Publication]
  • Whole Atmosphere Community Climate Model (WACCM4) : [DATA]
    • Marsh, D. R., M. J. Mills, D. E. Kinnison, J.-F. Lamarque, N. Calvo, and L. M. Polvani, 2013: Climate change from 1850 to 2005 simulated in CESM1 (WACCM). J. Climate, 26, 7372–7391, doi:10.1175/JCLI-D-12-00558.1 [Publication]
    • Smith, K. L., R. R. Neely, D. R. Marsh, and L. M. Polvani (2014): The Specified Chemistry Whole Atmosphere Community Climate Model (SC-WACCM), Journal of Advances in Modeling Earth Systems, 6(3), 883–901, doi:10.1002/2014MS000346 [Publication]

Publications

Conferences

  • [1] Labe, Z.M. Greater Siberian cooling linked to Arctic mid-tropospheric warming. [Poster]
  • [2] Magnusdottir, G., Z.M. Labe, and Y. Peings. How does the atmospheric response to Arctic sea-ice decline compare to the full effect of the Arctic Amplification?, 2020 American Geophysical Union Annual Meeting, Virtual Conference (Dec 2020). [Abstract]
  • [3] Magnusdottir, G., Z.M. Labe, and Y. Peings. The midlatitude response to Arctic sea-ice decline, compared to the response to the full effects of Arctic amplification, 34th Conference on Climate Variability and Change, Virtual Conference (Jan 2021). [Abstract]
  • [4] Peings, Y., Z.M. Labe, and G. Magnusdottir. Arctic-midlatitude linkages: role of sea ice loss versus full Arctic Amplification, Arctic Science Summit Week 2021, Virtual Conference (Mar 2021).
  • [5] Magnusdottir, G., Z.M. Labe, and Y. Peings. The warm Arctic, cold Siberia pattern: role of the full Arctic amplification versus sea ice loss alone. Polar Amplification Model Intercomparison (PAMIP) Virtual Workshop, Virtual Conference (Mar 2021).
  • [6] Peings, Y., Z.M. Labe, and G. Magnusdottir. Arctic-midlatitude linkages: role of sea ice loss versus full Arctic amplification. US CLIVAR PPAI Panel Webinar Series, Virtual Talk (Apr 2021). [Recording]