| Summary: | 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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