Data underlying the research on: Downscaling precipitation
doi:10.4121/13574405.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/13574405
doi: 10.4121/13574405
Datacite citation style:
Gerritsma, Avelon; Baart, Fedor (2021): Data underlying the research on: Downscaling precipitation. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13574405.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
usage stats
1514
views
14084
downloads
categories
geolocation
Global
time coverage
1980-2010
licence
CC BY-SA 4.0
This document is a description of all files and scripts used for the MSc thesis research of Avelon Gerritsma:Super-resolution neural networks: a strategy to downscale model output dataThis document indicates the order in which the files were created/used, files are indicated with /. In the files are desciptions to explain what is done.The precipitation maps are downloaded from https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-20th-century-using-surface-observations-onlyIntermediate files (TFRecord files that are rescaled, after step 3, can be found on 4TU name: Data underlying the research on: Downscaling precipitation)Scripts can be found on github
history
- 2021-07-19 first online, published, posted
publisher
4TU.ResearchData
format
TFRecord
references
organizations
Wageningen University & ReserachDeltares
DATA
files (319)
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