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Data for: Deep Learning of Model- and Reanalysis- Based Precipitation and Pressure Mismatches over Europe

Research datakeyboard_double_arrow_right Dataset 21 Jul 2022Publisher:Zenodo
Authors: Patakchi Yousefi, Kaveh; Kollet, Stefan;

doi: 10.5281/zenodo.6882196 , 10.5281/zenodo.6873802 , 10.5281/zenodo.6873801

Data for: Deep Learning of Model- and Reanalysis- Based Precipitation and Pressure Mismatches over Europe

Abstract

This study focuses on using UNet Convolutional Neural Networks to predict the spatiotemporal mismatches (errors) between TSMP-G2A model-based and COSMO-REA6 reanalysis-based precipitation and surface pressure over Europe. The following data are provided in this dataset: 1) The remapped and NetCDF-merged TSMP-G2A and COSMO-REA6 precipitation and surface pressure over the study area (EU-11 EUROCORDEX, ~0.11 degrees) for the years 1995-2017. Files: COSMO-REA6_PREPROCESSED.zip and TSMP_PREPROCESSED.zip 2) The actual and predicted spatiotemporal mismatch data for training, validation, and testing periods (1995-2017). Files: MISMATCH_ACTUAL.zip and MISMATCH_PREDICTED.zip References for original TSMP-G2A and COSMO-REA6 data: TSMP-G2A: http://doi.org/10.17616/R31NJMGR COSMO-REA6: doi:10.1002/qj.2486, 2015

Related Organizations
Keywords

surface pressure, merging, precipitation, mismatch, postprocessing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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