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kmap_Cu110_082_BE0.13.hdf5
Hierarchical Data Format - 1.4 MB - SHA-256: 01eb2530caa71857766727b4a49a32f21ed83208f7e85ac817dca59de955c174
kmap_Cu110_082_BE0.23.hdf5
Hierarchical Data Format - 1.4 MB - SHA-256: 48ba6b763d0e932c745d49565494e81d5eb4f6b324f2905683b8778c5a6cd073
kmap_Cu110_25lay_a3.61_BE0.22.hdf5
Hierarchical Data Format - 5.0 MB - SHA-256: fb3d616b6085d66b2b1e0c9f8331f0d88966876551b6e01f4548f5e897b672e7
2m Temperature Forecast by Deep Learning
Aug 31, 2022 - Earth System Science
Gong, Bing; Langguth, Michael; Ji, Yan; Mozaffari, Amirpasha; Stadtler, Scarlet; Mache, Karim; Schultz, Martin G., 2022, "2m Temperature Forecast by Deep Learning", https://doi.org/10.26165/JUELICH-DATA/X5HPXP, Jülich DATA, V2
This repository provides the preprocessed datasets, which are used in the study Temperature forecasting by deep learning methods by Gong et al. (2022). This allows the user to reproduce the presented results without running the preprocessing chain from the raw ERA5 data. Data des...
md5sum.txt
Plain Text - 471 B - SHA-256: 63f2e461ba77a72bb4c47e4dc600c02015209f175e6849f18b0fad3f7cb6a859
md5 hash values for data stored on datapub
Data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe'
Aug 29, 2022 - Campus Collection
Tesch, Tobias; Kollet, Stefan; Garcke, Jochen; Katragkou, Eleni; Kartsios, Stergios, 2022, "Data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe'", https://doi.org/10.26165/JUELICH-DATA/YO3JCM, Jülich DATA, V1
This is a data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe', submitted to Geophysical Research Letters. It contains data from a convection-permitting (CP) simulation across central Europe. The simulation was perf...
clwvi_2000.nc
Plain Text - 911.4 MB - SHA-256: be54c07a24b0d83a6e670cd4e5b9fe33b207cbd92517c989b8b96a2487d11d77
clwvi_2001.nc
Plain Text - 911.4 MB - SHA-256: 86ed33ca80461d85f0a63300368a30f9deaf361023adb59046a787c2f7309946
clwvi_2002.nc
Plain Text - 911.4 MB - SHA-256: 0d04aceb38809acb51fc81a51c4890352b443c99c993cd3fe71d9a842650d75d
clwvi_2003.nc
Plain Text - 911.4 MB - SHA-256: a90c8836dbdb89624f5db5b24619d78c15b118476e51014dfe551486e2a33a20
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