Published February 8, 2023
| Version v1.0
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sergigonzalezh/2020AntarcticHeatwave_attribution_analogs: 2020AntarcticHeatwave_attribution_analogs [Code]
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Description
This is the Jupyter notebooks required to reproduce the research: González-Herrero, S., Barriopedro, D., Trigo, R.M. et al. Climate warming amplified the 2020 record-breaking heatwave in the Antarctic Peninsula. Commun Earth Environ 3, 122 (2022). https://doi.org/10.1038/s43247-022-00450-5
This repository is divided in different notebooks that:
- 0a. Download the ERA5 datasets used in this research
- 0b. Prepare the ERA5 dataset (mean daily temperatures)
- 1a. Compute and plot the anomalies and percentiles of the 2020 Heatwave
- 1b. Compute and plot the past-recent distribution and trends of tempearture in the Antarctic Peninsula
- 2a. Compute and plot temperature anomalies at different stations
- 3a. Compute and plot the flow analogs, and the temperature differences between the past and recent periods
- 3b. Compute and plot the flow analogs, and the temperature differences between the past and recent periods (SAM effect removed)
- 3c. Compute and plot the flow analogs, and the temperature differences between the past and recent periods (Detrended)
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sergigonzalezh/2020AntarcticHeatwave_attribution_analogs-v1.0.zip
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(1.7 MB)
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Related works
- Is supplement to
- https://github.com/sergigonzalezh/2020AntarcticHeatwave_attribution_analogs/tree/v1.0 (URL)