Vitenskapelig artikkel   2015

Hobæk Haff, Ingrid; Frigessi, Arnoldo; Maraun, Douglas

Publikasjonsdetaljer

Tidsskrift:

Journal of Geophysical Research (JGR): Atmospheres, vol. 120, p. 2624–2646–23, 2015

Utgiver:

American Geophysical Union (AGU)

Utgave:

7

Internasjonale standardnumre:

Trykt: 2169-897X
Elektronisk: 2169-8996

Lenker:

DOI: doi.org/10.1002/2014JD022748

We investigate how well a suite of regional climate models (RCMs) from the ENSEMBLES project represents the residual spatial dependence of daily precipitation. The study area we consider is a 200 km × 200 km region in south central Norway, with RCMs driven by ERA-40 boundary conditions at a horizontal resolution of approximately 25 km × 25 km. We model the residual spatial dependence with pair-copula constructions, which allows us to assess both the overall and tail dependence in precipitation, including uncertainty estimates. The selected RCMs reproduce the overall dependence rather well, though the discrepancies compared to observations are substantial. All models overestimate the overall dependence in the west-east direction. They also overestimate the upper tail dependence in the north-south direction during winter, and in the west-east direction during summer, whereas they tend to underestimate this dependence in the north-south direction in summer. Moreover, many of the climate models do not simulate the small-scale dependence patterns caused by the pronounced orography well. However, the misrepresented residual spatial dependence does not seem to affect estimates of high quantiles of extreme precipitation aggregated over a few grid boxes. The underestimation of the area-aggregated extreme precipitation is due mainly to the well-known underestimation of the univariate margins for individual grid boxes, suggesting that the correction of RCM biases in precipitation might be feasible.