Dataset associated to the project "Spatial regression of multi-fidelity meteorological observations using a proxy-based measurement error model"

DOI:10.4121/ffa71bf6-b605-4719-acb5-83b733208e4b.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/ffa71bf6-b605-4719-acb5-83b733208e4b

Datacite citation style

de Baar, Jouke H. S.; Garcia-Marti, Irene (2023): Dataset associated to the project "Spatial regression of multi-fidelity meteorological observations using a proxy-based measurement error model". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ffa71bf6-b605-4719-acb5-83b733208e4b.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Usage statistics

224
views
843
downloads

Geolocation

the Netherlands
lat (N): [50 - 54]
lon (E): [3 - 8]

Time coverage

29-06-2021

Licence

CC0

Interoperability

Dataset associated to the project "Spatial regression of multi-fidelity meteorological observations using a proxy-based measurement error model" presented at the European Meteorological Society (EMS) 2022 conference in Bonn (Germany). The present dataset contains the code and data collections to run the examples that can be found in the manuscript. An abstract associated to this manuscript (currently under revision) can be found following this link: https://meetingorganizer.copernicus.org/EMS2022/EMS2022-53.html

History

  • 2023-06-05 first online, published, posted

Publisher

4TU.ResearchData

Format

csv; txt; octave; matlab; png

Organizations

KNMI - Royal Netherlands Meteorological Institute

DATA

Files (21)