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Identifying spatio-temporal drivers of extreme events [data set]
Identifying spatio-temporal drivers of extreme events [data set]
Oct 21, 2024
Shams Eddin, Mohamad Hakam; Gall, Juergen, 2024, "Identifying spatio-temporal drivers of extreme events [data set]", https://doi.org/10.60507/FK2/RD9E33, bonndata, V1
This data set allows to systematically evaluate approaches for the task of identifying extreme events in water cycle components by developing deep neural networks that detect anomalies and drivers of extremes in simulated data.
AFR-11.7z
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
7Z Archive - 31.5 GB - MD5: 23895c5e11a26feb1b6fbdda4a7c0928
Data
CAS-11.7z
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
7Z Archive - 30.4 GB - MD5: 22342067b8c7d1830ebeee710e069e92
Data
CERRA.7z.001
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
Unknown - 100.0 GB - MD5: 38eaa7688d119a470089a197990a5d24
Data
CERRA.7z.002
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
Unknown - 95.8 GB - MD5: 15720a1f0be84ab32c7e058b9c9ac7b9
Data
EAS-11.7z
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
7Z Archive - 29.8 GB - MD5: 4f385d00203e698de00d46750c3b2f56
Data
EUR-11.7z
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
7Z Archive - 11.9 GB - MD5: 644bbc9d564a934211caa7331f6cac29
Data
NAM-11.7z
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
7Z Archive - 20.6 GB - MD5: 516c8be75ebf70693b2f81b06e0ac0ab
Data
NOAA_CERRA.7z
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
7Z Archive - 39.8 GB - MD5: ad2c687c8e6d00a58b80b12703f46bd8
Data
NOAA_CORDEX.7z
Oct 21, 2024 - Identifying spatio-temporal drivers of extreme events [data set]
7Z Archive - 31.7 GB - MD5: e4a401cb3af6b5825fa85ba1648cca2d
Data
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