Summertime precipitation extremes in a EURO-CORDEX 0.11° ensemble at an hourly resolution
Regional climate model simulations have routinely been applied to assess changes in precipitation extremes at daily time steps. However, shorter sub-daily extremes have not received as much attention. This is likely because of the limited availability of high temporal resolution data, both for obser...
Saved in:
Published in | Natural hazards and earth system sciences Vol. 19; no. 4; pp. 957 - 971 |
---|---|
Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Katlenburg-Lindau
Copernicus GmbH
02.05.2019
Copernicus Publications |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Regional climate model simulations have routinely been applied to assess
changes in precipitation extremes at daily time steps. However, shorter
sub-daily extremes have not received as much attention. This is likely
because of the limited availability of high temporal resolution data, both
for observations and for model outputs. Here, summertime depth duration
frequencies of a subset of the EURO-CORDEX 0.11∘ ensemble are
evaluated with observations for several European countries for durations of
1 to 12 h. Most of the model simulations strongly underestimate 10-year
depths for durations up to a few hours but perform better at longer
durations. The spatial patterns over Germany are reproduced at least partly
at a 12 h duration, but all models fail at shorter durations.
Projected changes are assessed by relating relative depth changes to mean
temperature changes. A strong relationship with temperature is found across
different subregions of Europe, emission scenarios and future time periods.
However, the scaling varies considerably between different combinations of
global and regional climate models, with a spread in scaling of around
1–10 % K−1 at a 12 h duration and generally higher values at shorter durations. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 1684-9981 1561-8633 1684-9981 |
DOI: | 10.5194/nhess-19-957-2019 |