Attribution_SpringNA

Climate drivers of the springtime North America cooling pattern using initial condition large ensemble climate models

Under construction... [Python 3.9]

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. Tools including NCL, CDO, and NCO were also used for initial data processing.

Data

• Berkeley Earth Surface Temperature project (BEST) : [DATA]
  • Rohde, R. and Coauthors (2013) Berkeley earth temperature averaging process. Geoinform Geostat Overv. doi:10.4172/2327-4581.1000103 [PUBLICATION]
• CESM1 Large Ensemble Project (LENS1) : [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]
• CESM2 Large Ensemble Project (LENS2) : [DATA]
  • Rodgers, K. B., Lee, S. S., Rosenbloom, N., Timmermann, A., Danabasoglu, G., Deser, C., ... & Yeager, S. G. (2021). Ubiquity of human-induced changes in climate variability. Earth System Dynamics Discussions, 1-22, doi:10.1175/BAMS-D-13-00255.1 [PUBLICATION]
• ERA5 : [DATA]
  • Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., ... & Simmons, A. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, doi:10.1002/qj.3803 [PUBLICATION]
• GISTEMPv4 : [DATA]
  • Lenssen, N., G. Schmidt, J. Hansen, M. Menne, A. Persin, R. Ruedy, and D. Zyss, 2019: Improvements in the GISTEMP uncertainty model. J. Geophys. Res. Atmos., 124, no. 12, 6307-6326, doi:10.1029/2018JD029522.[PUBLICATION]
• GFDL CM3 Large Ensemble : [DATA]
  • Sun, L., Alexander, M., & Deser, C. (2018). Evolution of the global coupled climate response to Arctic sea ice loss during 1990–2090 and its contribution to climate change. Journal of Climate, 31(19), 7823–7843. doi:10.1175/JCLI-D-18-0134.1 [PUBLICATION]
• GFDL ES2M Large Ensemble : [DATA]
  • Rodgers, K. B., Lin, J., & Frölicher, T. L. (2015). Emergence of multiple ocean ecosystem drivers in a large ensemble suite with an Earth system. doi:10.5194/bg-12-3301-2015 [PUBLICATION] model. Biogeosciences, 12(11), 3301–3320. https://doi.org/10.5194/BG-12-3301-2015
• GFDL FLOR: Forecast-oriented Low Ocean Resolution : [DATA]
  • Vecchi, G. A., Delworth, T., Gudgel, R., Kapnick, S., Rosati, A., Wittenberg, A. T., ... & Zhang, S. (2014). On the seasonal forecasting of regional tropical cyclone activity. Journal of Climate, 27(21), 7994-8016. doi:10.1175/JCLI-D-14-00158.1 [PUBLICATION]
• GFDL SPEAR: Seamless System for Prediction and EArth System Research : [DATA]
  • Delworth, T. L., Cooke, W. F., Adcroft, A., Bushuk, M., Chen, J. H., Dunne, K. A., ... & Zhao, M. (2020). SPEAR: The next generation GFDL modeling system for seasonal to multidecadal prediction and projection. Journal of Advances in Modeling Earth Systems, 12(3), e2019MS001895. doi:10.1029/2019MS001895 [PUBLICATION]
• MPI-ESM1.2LR-LE [DATA]
  • Mauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R., ... & Roeckner, E. (2019). Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1. 2) and its response to increasing CO2. Journal of Advances in Modeling Earth Systems, 11(4), 998-1038. doi:10.1029/2018MS001400 [PUBLICATION]
• Multi-Model Large Ensemble (SMILE) : [DATA]
  • Deser, C., Phillips, A. S., Simpson, I. R., Rosenbloom, N., Coleman, D., Lehner, F., ... & Stevenson, S. (2020). Deser, C., Lehner, F., Rodgers, K. B., Ault, T., Delworth, T. L., DiNezio, P. N., ... & Ting, M. (2020). Insights from Earth system model initial-condition large ensembles and future prospects. Nature Climate Change, 1-10. doi:10.1038/s41558-020-0731-2 [PUBLICATION]
• Sixth Version of Model for Interdisciplinary Research on Climate (MIROC6) : [DATA]
  • Tatebe, H., Ogura, T., Nitta, T., Komuro, Y., Ogochi, K., Takemura, T., ... & Kimoto, M. (2019). Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6. Geoscientific Model Development, 12(7), 2727-2765. doi:10.5194/gmd-12-2727-2019 [PUBLICATION]
• NCEP/DOE Reanalysis II : [DATA]
  • NCEP-DOE AMIP-II Reanalysis (R-2): M. Kanamitsu, W. Ebisuzaki, J. Woollen, S-K Yang, J.J. Hnilo, M. Fiorino, and G. L. Potter. 1631-1643, Nov 2002, Bulletin of the American Meteorological Society. doi:10.1175/BAMS-83-11-1631 [PUBLICATION]
• NOAA-CIRES-DOE Twentieth Century Reanalysis (20CRv3) : [DATA]
  • Slivinski, L. C., Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Giese, B. S., McColl, C., ... & Wyszyński, P. (2019). Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. Quarterly Journal of the Royal Meteorological Society, 145(724), 2876-2908. doi:10.1002/qj.3598 [PUBLICATION]
• NOAA Merged Land Ocean Global Surface Temperature Analysis (NOAAGlobalTemp v5.1) : [DATA]
  • Vose, R.S., B. Huang, X. Yin., D. Arndt, D.R. Easterling, J.H. Lawrimore, M.J. Menne, A. Sanchez-Lugo, H.-M. Zhang, 2021: Implementing full spatial coverage in NOAA’s global temperature analysis. Geophysical Research Letters, 48, e2020GL090873. doi:10.1029/2020GL090873 [PUBLICATION]
• SMHI Large Ensemble (SMHI-LENS) : [DATA]
  • Wyser, K., Koenigk, T., Fladrich, U., Fuentes-Franco, R., Karami, M. P., & Kruschke, T. (2021). The SMHI large ensemble (SMHI-lens) with EC-Earth3. 3.1. Geoscientific Model Development, 14(7), 4781-4796. doi:10.5194/gmd-14-4781-2021 [PUBLICATION]

Publications

Conferences/Presentations

• [2] Labe, Z.M., N.C. Johnson, and T.L Delworth. Climate drivers of the recent springtime cooling pattern in northern North America, 36th Conference on Climate Variability and Change, 102nd AMS Annual Meeting, Virtual Attendance (Jan 2023). [Abstract][Slides]
• [1] Labe, Z.M., N.C. Johnson, and T.L Delworth. Identifying the drivers of the observed springtime cooling trend in northern North America with large ensemble simulations, 2022 American Geophysical Union Annual Meeting, Chicago, IL (Dec 2022). [Abstract][Poster]