Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 3
Articles | Volume 28, issue 3
https://doi.org/10.5194/hess-28-649-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-649-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 3
Research article
 | 
14 Feb 2024
Research article |  | 14 Feb 2024

Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates

Aart Overeem, Hidde Leijnse, Gerard van der Schrier, Else van den Besselaar, Irene Garcia-Marti, and Lotte Wilhelmina de Vos

Data sets

EURADCLIM: The European climatological gauge-adjusted radar precipitation dataset (1-h accumulations) Aart Overeem et al. https://doi.org/10.21944/7ypj-wn68

EURADCLIM: The European climatological gauge-adjusted radar precipitation dataset (24-h accumulations) Aart Overeem et al. https://doi.org/10.21944/1a54-gg96

Dataset of pan-European 1-h OPERA radar precipitation accumulations adjusted with rain gauge accumulations from Netatmo personal weather stations Aart Overeem et al. https://doi.org/10.4121/675f3f64-04a8-48db-ae3e-4a6c004a0776.v1

E-OBS data access Copernicus Climate Change Service https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

Model code and software

EURADCLIM-tools Aart Overeem https://doi.org/10.5281/zenodo.7473816

LottedeVos/PWSQC: PWSQC L. W. De Vos https://doi.org/10.5281/zenodo.10629489

MapRAINLINK Aart Overeem https://doi.org/10.5281/zenodo.7611398

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Short summary
Ground-based radar precipitation products typically need adjustment with rain gauge accumulations to achieve a reasonable accuracy. Crowdsourced rain gauge networks have a much higher density than conventional ones. Here, a 1-year personal weather station (PWS) gauge dataset is obtained. After quality control, the 1 h PWS gauge accumulations are merged with pan-European radar accumulations. The potential of crowdsourcing to improve radar precipitation products in (near) real time is confirmed.
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