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Jülich DATA (Forschungszentrum Jülich GmbH)
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Jülich DATA is the central institutional repository for research data of Forschungszentrum Jülich.

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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
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clwvi_2002.nc
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clwvi_2003.nc
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clwvi_2004.nc
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clwvi_2005.nc
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clwvi_2006.nc
Plain Text - 911.4 MB - SHA-256: baa46f56e36d659ce163d0b939c4d07c08d3cf977503b9709d04eff3328de6a2
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