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QSWAT_Automated_Workflow
QSWAT_Automated_Workflow PublicThe automated workflow for setting up SWAT Models presented in Chawanda et al., 2019 EMS
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myclimatefuture
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Global-Burned-Area-Increasingly-Explained-By-Climate-Change
Global-Burned-Area-Increasingly-Explained-By-Climate-Change PublicISIMIP3a Burned Area Detection and Attribution
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Repositories
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Here we map the changes in the frequency, spatial distribution and dependence of concurrent hazards and impacts associated with climate extremes over the entire globe under different climate change scenarios.
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Here we present MeteoSaver v1.0, a machine-learning based software for the transcription of historical weather data
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Wikimapcts is the first version of climate impact dataset creating by generative AI GPT4.0
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- 2024_Nkwasa_et_al Public
Contains scripts used in processing files of the global water quality model (CoSWAT-WQ v1.0)
- DeHertog_etal_2024_EF Public
- Global-Burned-Area-Increasingly-Explained-By-Climate-Change Public
ISIMIP3a Burned Area Detection and Attribution
- myclimatefuture Public
Younger generations are severely threatened by climate change. Find out how many more climate extremes you will face in your lifetime.