StratoVari

Here we conduct a series of large ensemble simulations (300 members each) to explore the robustness of the stratospheric response to Arctic sea-ice loss. We follow the new PAMIP protocol using the SC-WACCM4 and E3SM 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

• 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 [Publications]
• 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]
• 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

[1] Peings, Y., Z.M. Labe, and G. Magnusdottir (2021), Are 100 ensemble members enough to capture the remote atmospheric response to +2°C Arctic sea ice loss? Journal of Climate, DOI:10.1175/JCLI-D-20-0613.1 [HTML][BibTeX]

Conferences

• [1] Magnusdottir, G., Y. Peings, and Z.M. Labe. Response to sea-ice loss under the Polar Amplification MIP protocol in extended ensembles of simulations, 2019 American Geophysical Union Annual Meeting, San Francisco, CA (Dec 2019). [Abstract]
• [2] Labe, Z.M., Y. Peings, and G. Magnusdottir. Detection of Signal in the Large-Scale Circulation Response to Arctic Sea-Ice Decline, 33rd Conference on Climate Variability and Change, Boston, MA (Jan 2020). [Abstract]
• [3] Peings, Y., Z.M. Labe, and G. Magnusdottir. Are 100 ensemble members enough to capture the remote atmospheric response to +2°C Arctic sea ice loss?, 2020 American Geophysical Union Annual Meeting, Virtual Conference (Dec 2020). [Abstract]
• [4] Peings, Y., G. Magnusdottir., and Z.M. Labe. Are 100 ensemble members enough to capture the remote atmospheric response to +2°C Arctic sea ice loss?, 34th Conference on Climate Variability and Change, Virtual Conference (Jan 2021). [Abstract]
• [5] Peings, Y., Z.M. Labe, and G. Magnusdottir. Influence of internal variability: how to ensure results are robust? Polar Amplification Model Intercomparison (PAMIP) Virtual Workshop, Virtual Conference (Mar 2021).