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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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Multi-annual predictions of hot, dry and hot-dry compound extremes

Authors: Aranyossy, Alvise;

Multi-annual predictions of hot, dry and hot-dry compound extremes

Abstract

The zip file contains several folders with the script used for the computation of hot (tx90p) dry (SPI and SPEI) and hot-dry compound (HDSPI and HDSPEI) extremes. There is a different script for the different dataset used, specifically the decadal hindcasts (dcppA) the observations and the reanalysis datasets (obs-rea) and the historical simulations (hist). The files are in R(.R), python(.py) and bash script(.sh) format. For TX90p: We run the python script tx90p_(nameofdataset).py. We run the script yearsum_seamask_regrid_(nameofdataset)_tx.sh. For SPI and SPEI: We run the R script Script_Accum_pr-wb_(nameofdataset).R We run the R script Accum_to_SPI-SPEI_(nameofdataset).R To compute the dailycopies of the monthly SPI and SPEI values, which will be used in the detection of the compound extremes, we run the script dailycopies_SPI-SPEI_obs-rea.sh for the observation and reanalysis and dailycopies_mod_SPI-SPEI_(nameofdataset).sh for the models. We run the script yearsum_seamask_regrid_(nameofdataset)_droughts.sh. For HDSPI and HDSPEI: We run the python script HDSPI-HDSPEI_(nameofdataset).py. We run the script yearsum_remask_regrid_(nameofdataset)_HD.sh.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average