zmlabe / ExtremeEvents

Using ANN's to reveal changes in extreme events and internal variability in climate models

ExtremeEvents

Using ANN's to reveal changes in extreme events and internal variability in climate models

Under construction... [Python 3.7]

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 manipulation.

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]
• 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]
• 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]
• 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]

Publications

Conferences