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 displayed 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 statistics

507
views
237
downloads

Geolocation

the Netherlands
lat (N): 50.75-53.7
lon (E): 3.2-7.22

Time coverage

25-01-2019

Licence

CC0

Interoperability

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)