Iberia01: a new gridded dataset of daily precipitation and temperatures over Iberia

Autor: S. Herrera, R. M. Cardoso, P. M. Soares, F. Espírito-Santo, P. Viterbo, J. M. Gutiérrez
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Earth System Science Data, Vol 11, Pp 1947-1956 (2019)
Druh dokumentu: article
ISSN: 1866-3508
1866-3516
DOI: 10.5194/essd-11-1947-2019
Popis: The present work presents a new observational gridded dataset (referred to as Iberia01) for daily precipitation and temperatures produced using a dense network (thousands) of stations over the Iberian Peninsula for the period 1971–2015 at 0.1∘ regular (and 0.11∘ CORDEX-compliant rotated) resolutions. We analyze mean and extreme indices and compare the results with the E-OBS v17 dataset (using both the standard and ensemble versions, at 0.25 and 0.1∘ resolutions, respectively), in order to assess observational uncertainty in this region. We show that Iberia01 produces more realistic precipitation patterns than E-OBS for the mean and extreme indices considered, although both are comparable for temperatures. To assess the differences between these datasets, a new probabilistic intercomparison analysis was performed, using the E-OBS ensemble (v17e) to characterize observational uncertainty and testing whether Iberia01 falls within the observational uncertainty range provided by E-OBS. In general, uncertainty values are large in the whole territory, with the exception of a number of kernels where the uncertainty is small, corresponding to the stations used to build the E-OBS grid. For precipitation, significant differences – at the 10 % level – between both datasets were found for fewer than 25 % of days over the Iberian Peninsula. For temperature, a very inhomogeneous spatial pattern was obtained, with either a small (in most of the regions) or large fraction of significantly different days, thus indicating sensible regions for observational uncertainty. Iberia01 is publicly available (Herrera et al., 2019a, https://doi.org/10.20350/digitalCSIC/8641).
Databáze: Directory of Open Access Journals
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