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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Main Author: Sergi González Herrero
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7573644
id ftzenodo:oai:zenodo.org:7573644
record_format openpolar
spelling 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
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
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
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