whigg/amip_simu

AMIP experiments for surface forcings (sea ice, SST, QBO, Eurasian snow)

AMIP Experiments

Conducting a series of six AMIP-style simulations using a high-top AGCM (WACCM4), we explore the role of various forcings and their linear interference (including sea ice, SST, Eurasian snow cover, and the QBO) on the large-scale circulation response in the last ~40 years. We focus on their potential predictability and also address the relative importance of the stratospheric pathway on the dynamical response to recent Arctic Amplification (1979-2016).

Under construction... [Python 3.6]

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

• 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]
• ERA-Interim (ERAi) : [DATA]
  • Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., ... & Bechtold, P. (2011). The ERA‐Interim reanalysis: Configuration and performance of the data assimilation system. Quarterly Journal of the royal meteorological society, 137(656), 553-597, doi:10.1002/qj.828 [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