sergigonzalezh/Extreme_PCP_Scaling_Antarctica: Extreme precipitation records in Antarctica [Code]
This is the Jupyter notebooks required to reproduce the research published in International Journal of Climatology. This repository is divided in different notebooks that: 0-Download the ERA5 datasets used in this research 1-Compute PCP accumulations for each gridpoint 2-Compute the extreme values f...
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ftzenodo:oai:zenodo.org:7573644 2024-09-15T17:48:26+00:00 sergigonzalezh/Extreme_PCP_Scaling_Antarctica: Extreme precipitation records in Antarctica [Code] Sergi González Herrero 2023-01-26 https://doi.org/10.5281/zenodo.7573644 unknown Zenodo https://github.com/sergigonzalezh/Extreme_PCP_Scaling_Antarctica/tree/v1.0 https://doi.org/10.5281/zenodo.7573643 https://doi.org/10.5281/zenodo.7573644 oai:zenodo.org:7573644 info:eu-repo/semantics/openAccess Other (Open) info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.757364410.5281/zenodo.7573643 2024-07-26T06:59:48Z This is the Jupyter notebooks required to reproduce the research published in International Journal of Climatology. This repository is divided in different notebooks that: 0-Download the ERA5 datasets used in this research 1-Compute PCP accumulations for each gridpoint 2-Compute the extreme values for each time interval 3-Compute and plot the scaling law and maps PCPscaling_CaseStudy-Plots for each case study The dataset associated to this research can be found at: https://doi.org/10.5281/zenodo.7538266 If you use or modify this script for your research, please cite as: González-Herrero, S., Vassalo, F., Bech, J., Gorodetskaya, I. V., Elvira, B., and Justel, A. (2023): Extreme precipitation records in Antarctica. Int. J. Climatol. doi: https://doi.org/10.1002/joc.8020 Other/Unknown Material Antarc* Antarctica Zenodo |
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description |
This is the Jupyter notebooks required to reproduce the research published in International Journal of Climatology. This repository is divided in different notebooks that: 0-Download the ERA5 datasets used in this research 1-Compute PCP accumulations for each gridpoint 2-Compute the extreme values for each time interval 3-Compute and plot the scaling law and maps PCPscaling_CaseStudy-Plots for each case study The dataset associated to this research can be found at: https://doi.org/10.5281/zenodo.7538266 If you use or modify this script for your research, please cite as: González-Herrero, S., Vassalo, F., Bech, J., Gorodetskaya, I. V., Elvira, B., and Justel, A. (2023): Extreme precipitation records in Antarctica. Int. J. Climatol. doi: https://doi.org/10.1002/joc.8020 |
format |
Other/Unknown Material |
author |
Sergi González Herrero |
spellingShingle |
Sergi González Herrero sergigonzalezh/Extreme_PCP_Scaling_Antarctica: Extreme precipitation records in Antarctica [Code] |
author_facet |
Sergi González Herrero |
author_sort |
Sergi González Herrero |
title |
sergigonzalezh/Extreme_PCP_Scaling_Antarctica: Extreme precipitation records in Antarctica [Code] |
title_short |
sergigonzalezh/Extreme_PCP_Scaling_Antarctica: Extreme precipitation records in Antarctica [Code] |
title_full |
sergigonzalezh/Extreme_PCP_Scaling_Antarctica: Extreme precipitation records in Antarctica [Code] |
title_fullStr |
sergigonzalezh/Extreme_PCP_Scaling_Antarctica: Extreme precipitation records in Antarctica [Code] |
title_full_unstemmed |
sergigonzalezh/Extreme_PCP_Scaling_Antarctica: Extreme precipitation records in Antarctica [Code] |
title_sort |
sergigonzalezh/extreme_pcp_scaling_antarctica: extreme precipitation records in antarctica [code] |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://doi.org/10.5281/zenodo.7573644 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
https://github.com/sergigonzalezh/Extreme_PCP_Scaling_Antarctica/tree/v1.0 https://doi.org/10.5281/zenodo.7573643 https://doi.org/10.5281/zenodo.7573644 oai:zenodo.org:7573644 |
op_rights |
info:eu-repo/semantics/openAccess Other (Open) |
op_doi |
https://doi.org/10.5281/zenodo.757364410.5281/zenodo.7573643 |
_version_ |
1810289664005767168 |