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Large ensemble to explore robustness of stratospheric response to Arctic sea-ice loss
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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.
Zachary Labe -Research Website -@ZLabe
Scripts/: MainPython scripts/functions used in data analysis and plottingrequirements.txt: List of environments and modules associated with the most recent version of this project. A PythonAnaconda3 Distribution was used for our analysis. All AGCM experiments were processed through resources on CISL'sCheyenne supercomputer. Tools includingNCL,CDO, andNCO were also used for initial data manipulation.
- 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]
[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]
- [1] Magnusdottir, G., Y. Peings, andZ.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., andZ.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).