Arctic sea ice thickness - perturbation study

Under construction... [Python 3.6]

Contact

Zachary Labe - Research Website - @ZLabe

Description

Most atmospheric general circulation model (AGCM) experiments assessing the linkages between sea ice anomalies and atmospheric teleconnections prescribe SIT as a constant (usually 2-m). Here we evaluate the influence of realistically representing the magnitude and spatial pattern of SIT. Further, we conducted idealized experiments (WACCM4) to isolate the role of thinning sea ice vs. sea ice concentration on the atmosphere.

• Literature/: Associated documents and research notes for current project
• 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

• CESM Large Ensemble Project (LENS) : [DATA]
  • Kay, J. E and Coauthors, 2015: The Community Earth System Model (CESM) large ensemble project: A community resource for studying climate change in the presence of internal climate variability. Bull. Amer. Meteor. Soc., 96, 1333–1349, doi:10.1175/BAMS-D-13-00255.1 [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

• Labe, Z.M., Y. Peings, and G. Magnusdottir, 2018. Contributions of ice thickness to the atmospheric response from projected Arctic sea ice loss, Geophysical Research Letters, DOI:10.1029/2018GL078158 [HTML][BibTeX][SUMMARY]

Conferences

• [1] Labe, Z.M. Loss of Arctic sea ice thickness affects the large-scale atmosphere, Arctic System Change Workshop at NCAR, Boulder, CO (Apr 2018). [Poster]

• [2] 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).

• [3] Labe, Z.M., Y. Peings, H.S. Stern, and G. Magnusdottir. Arctic sea ice thickness variability and its influence on the atmospheric response to projected sea ice loss. Machine Learning and Physical Sciences (MAPS) Symposium, University of California, Irvine (May 2018).