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Assessing the influence of the QBO in Arctic sea ice perturbation experiments

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QBO and Arctic sea ice - perturbation study DOI

Under construction... [Python 3.6]

Contact

Zachary Labe - Research Website - @ZLabe

Description

Here we show that the phase of the Quasi-Biennial Oscillation (QBO) modulates the atmospheric response to Arctic sea ice loss. We conducted idealized experiments using WACCM4 to composite the phases of the QBO (westerly, easterly, and neutral) and assess the importance (mechanisms) of the stratosphere-troposphere pathway. The QBO in WACCM4 is prescribed by relaxing equatorial zonal winds between 86 and 4 hPa to observed radiosonde data (28-month period). We conduct a series of large ensemble simulations (200 years each) to increase the signal-to-noise ratio in the stratosphere.

  • Scripts/: Main Python scripts/functions used in data analysis and plotting
    • Make_Figs: Scripts to generate figures in the main manuscript and supplementary section
    • Miscellaneous: Scripts for exploratory data analysis (not important to project results)
    • Data_Analysis: Additional scripts for manuscript analysis
  • Scripts_NOQBO/: Main Python scripts/functions for an additional experiment prescribed with a constant QBO (weak and variable easterlies)
  • 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 (SC-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, 2019. The effect of QBO phase on the atmospheric response to projected Arctic sea-ice loss in early winter, Geophysical Research Letters, DOI:10.1029/2018GL078158 [HTML][BibTeX][SUMMARY]

Conferences

  • [4] Labe, Z.M. QBO affects atmospheric response to Arctic sea-ice decline. [Poster]
  • [3] Magnusdottir, G., Y. Peings, and Z.M. Labe. Impact of the QBO on the response to Arctic sea ice loss. Polar Amplification Model Intercomparison (PAMIP) Workshop, Devon, UK (Jun 2019). [Slides]
  • [2] Labe, Z.M., G. Magnusdottir, and Y. Peings. Linking the Quasi-Biennial Oscillation and Projected Arctic Sea-Ice Loss to Stratospheric Variability in Early Winter, 20th Conference on Middle Atmosphere, Phoenix, AZ (Jan 2019). [Abstract][SlideShare]
  • [1] Magnusdottir, G., Z.M. Labe, and Y. Peings. The role of the stratosphere, including the QBO, in Arctic to mid-latitude teleconnections associated with sea-ice forcing, 2018 American Geophysical Union Annual Meeting, Washington, DC (Dec 2018). [Abstract]