Dataset associated to the paper "Towards high-resolution gridded climatology stemming from the combination of official and crowdsourced weather observations using multi-fidelity methods"

doi:10.4121/de341c98-989c-4ada-8e85-4b7621c7f9a7.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/de341c98-989c-4ada-8e85-4b7621c7f9a7
Datacite citation style:
van Beekvelt, Daniëlle; Garcia-Marti, Irene; de Baar, Jouke H. S. (2023): Dataset associated to the paper "Towards high-resolution gridded climatology stemming from the combination of official and crowdsourced weather observations using multi-fidelity methods". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/de341c98-989c-4ada-8e85-4b7621c7f9a7.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
usage stats
317
views
151
downloads
geolocation
the Netherlands
lat (N): 50.75-53.7
lon (E): 3.2-7.22
time coverage
25-01-2019
licence
cc-0.png logo CC0

Dataset associated to the research article "Towards high-resolution gridded climatology stemming from the combination of official and crowdsourced weather observations using multi-fidelity methods", currently under revision for the journal PLOS Climate. The present dataset contains the necessary files to run the examples that can be found in the manuscript. For more information about this research line, we refer the reader to the associated MSc thesis here: https://studenttheses.uu.nl/handle/20.500.12932/43339

history
  • 2023-09-11 first online, published, posted
publisher
4TU.ResearchData
format
csv
organizations
Royal Netherlands Meteorological Institute (KNMI),
Meteorological Office (UK Met Office),
Rijkswaterstaat (Ministry of Infrastructure and Water Management).

DATA

files (4)