Climate model-informed deep learning of global soil moisture distribution - data

by Klingmüller, Klaus | More information
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Authors Klaus Klingmüller (1) Affiliations 1. MPI for Chemistry
Cite as Klingmüller, Klaus. (2021). Climate model-informed deep learning of global soil moisture distribution - data. Max Planck Society. https://edmond.mpdl.mpg.de/imeji/collection/eLt_AnQ98XFaaznl Study Type(s) simulation/modelling
Number of items in this collection 4 Creation date Tue Jun 22 20:40:23 CEST 2021 Last modification date Wed Jun 23 09:00:50 CEST 2021 Date of publication Wed Jun 23 09:00:50 CEST 2021 Permalink https://edmond.mpdl.mpg.de/imeji/collection/eLt_AnQ98XFaaznl QR-code
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  • variable_centre.csv
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    variable_centre.csv
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    Climate model-informed deep learning of global soil moisture distribution - data
  • data.nc
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    data.nc
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    Climate model-informed deep learning of global soil moisture distribution - data
  • variable_scale.csv
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    variable_scale.csv
    Collection
    Climate model-informed deep learning of global soil moisture distribution - data
  • dnn_weights.h5
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    dnn_weights.h5
    Collection
    Climate model-informed deep learning of global soil moisture distribution - data
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