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 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
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Dataset
usage stats
194
views
660
downloads
geolocation
the Netherlands
lat (N): [50 - 54]
lon (E): [3 - 8]
time coverage
29-06-2021
licence
cc-0.png logo CC0

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)