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@article{Sunyer:2016:10.1002/joc.4733,
author = {Sunyer, MA and Luchner, J and Onof, C and Madsen, H and Arnbjerg-Nielsen, K},
doi = {10.1002/joc.4733},
journal = {International Journal of Climatology},
pages = {688--705},
title = {Assessing the importance of spatio-temporal RCM resolution when estimating sub-daily extreme precipitation under current and future climate conditions},
url = {http://dx.doi.org/10.1002/joc.4733},
volume = {37},
year = {2016}
}
TY - JOUR
AB - The increase in extreme precipitation is likely to be one of the most significant impacts of climate change in cities due to increased pluvial flood risk. Hence, reliable information on changes in sub-daily extreme precipitation is needed for robust adaptation strategies. This study explores extreme precipitation over Denmark generated by the regional climate model (RCM) HIRHAM-ECEARTH at different spatial resolutions (8, 12, 25 and 50 km), three RCM from the RiskChange project at 8 km resolution and three RCMs from ENSEMBLES at 25 km resolution at temporal aggregations from 1 to 48 h. The performance of the RCM simulations in current climate as well as projected changes for 2081–2100 is evaluated for non-central moments of order 1–3 and for the 2- and 10-year events. The comparison of the RCM simulations and observations shows that the higher spatial resolution simulations (8 and 12 km) are more consistent across all temporal aggregations in the representation of high-order moments and extreme precipitation. The biases in the spatial pattern of extreme precipitation change across temporal and spatial resolution. The hourly extreme value distributions of the HIRHAM-ECEARTH simulations are more skewed than the observational dataset, which leads to an overestimation by the higher spatial resolution simulations. Nevertheless, in general, under current conditions RCM simulations at high spatial resolution represent extreme events and high-order moments better. The changes projected by the RCM simulations depend on the global climate model (GCM)–RCM combination, spatial resolution and temporal aggregation. The simulations disagree on the magnitude and spatial pattern of the changes. However, there is an agreement on higher changes for lower temporal aggregation and higher spatial resolution. Overall, the results from this study show the influence of the spatial resolution on the precipitation outputs from RCMs. The bia
AU - Sunyer,MA
AU - Luchner,J
AU - Onof,C
AU - Madsen,H
AU - Arnbjerg-Nielsen,K
DO - 10.1002/joc.4733
EP - 705
PY - 2016///
SN - 1097-0088
SP - 688
TI - Assessing the importance of spatio-temporal RCM resolution when estimating sub-daily extreme precipitation under current and future climate conditions
T2 - International Journal of Climatology
UR - http://dx.doi.org/10.1002/joc.4733
UR - http://hdl.handle.net/10044/1/33073
VL - 37
ER -
Climate Science
Earth and Life Sciences
Energy and Low-Carbon Futures
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