Testing E-OBS European high-resolution gridded data set of daily precipitation and surface temperature
By N. Hofstra, M. Haylock, M. New, P. Jones. 2009
345 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/e9e40317aed8a6e3e54d42ade0944a93e6e79574
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In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- Climate change multi‐model projections for temperature extremes in Portugal (2014, background): “Furthermore, some small discrepancies may be rather attributed to limitations inherent to the EOBS dataset itself than to the ensemble (Hofstra et al., 2009).”
- Evaluation of the convection‐resolving regional climate modeling approach in decade‐long simulations (2014, background): “The comparison of the EOBS data set with high-resolution observations shows good spatial correlation, although mean absolute errors are significant, on the order of 0.5◦C for temperature and may exceed 100% at some grid points for precipitation [Hofstra et al., 2009].”
- Which rainfall score is more informative about the performance in river discharge simulation? A comprehensive assessment on 1318 basins over Europe (2020, background): “For some regions, the station density is sufficiently low enough to expect a strong tendency for interpolated daily rainfall and temperature values to be underestimated with respect to the “true” area average of stations (Hofstra et al., 2009, 2010; Kyselý and Plavcová, 2010).”