A new E‐OBS gridded dataset for daily mean wind speed over Europe.
In: International Journal of Climatology, Jg. 43 (2023-11-01), Heft 13, S. 6083-6100
Online
academicJournal
Zugriff:
In this paper we present daily mean wind speed as a new variable in the publicly accessible E‐OBS gridded datasets. Each of the variables in the E‐OBS dataset is provided at a spatial resolution of 0.1° × 0.1° and 0.25° × 0.25°. The variable "daily mean wind speed" starts from 1980 and is updated every month. The main method that we apply is the use of adaptive covariate selection to model the monthly mean wind speed as a function of covariates, like altitude, distance to coast and surface roughness. Then, we use Gaussian process regression to interpolate the daily anomalies from the station locations to the grid locations. In addition, we develop ensemble dispersion improvement auto‐tune (EDIT) to improve the reliability of the local ensemble spread. In order to communicate the methodological uncertainty in the resulting dataset, the E‐OBS wind speed grid is provided as a 20‐member ensemble of random realizations. As part of a preliminary analysis, we investigate the hypothesized wind speed stilling effect in recent decades. Indeed, we do find a small yet significant wind speed stilling effect in the E‐OBS dataset. [ABSTRACT FROM AUTHOR]
Titel: |
A new E‐OBS gridded dataset for daily mean wind speed over Europe.
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Autor/in / Beteiligte Person: | de Baar, Jouke H. S. ; van der Schrier, Gerard ; van den Besselaar, Else J. M. ; Garcia‐Marti, Irene ; de Valk, Cees |
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Zeitschrift: | International Journal of Climatology, Jg. 43 (2023-11-01), Heft 13, S. 6083-6100 |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 0899-8418 (print) |
DOI: | 10.1002/joc.8191 |
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