A comparison of extreme European daily precipitation simulated by a globaland a regional climate model for present and future climates

Citation
Cf. Durman et al., A comparison of extreme European daily precipitation simulated by a globaland a regional climate model for present and future climates, Q J R METEO, 127(573), 2001, pp. 1005-1015
Citations number
15
Categorie Soggetti
Earth Sciences
Journal title
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
ISSN journal
00359009 → ACNP
Volume
127
Issue
573
Year of publication
2001
Part
A
Pages
1005 - 1015
Database
ISI
SICI code
0035-9009(200104)127:573<1005:ACOEED>2.0.ZU;2-J
Abstract
The intensity and distribution of daily precipitation is predicted to chang e under scenarios of increased greenhouse gases (GHGs). In this paper, we a nalyse the ability of HadCM2, a general circulation model (GCM), and a high -resolution regional climate model (RCM), both developed at the Met Office' s Hadley Centre, to simulate extreme daily precipitation by reference to ob servations. A detailed analysis of daily precipitation is made at two UK gr id boxes, where probabilities of reaching daily thresholds in the GCM and R CM are compared with observations. We find that the RCM I generally overpre dicts probabilities of extreme daily precipitation but that, when the GCM a nd RCM simulated values are scared to have the same mean as the observation s, the RCM captures the upper-tail distribution more realistically To compa re regional changes in daily precipitation in the GHG-forced period 2080-21 00 in the GCM and the RCM, we develop two methods. The first considers the fractional changes in probability of local daily precipitation leaching or exceeding a fixed 15 mm threshold in the anomaly climate compared with the control. The second method uses the upper one-percentile of the control at each point as the threshold. Agreement between the models is better in both seasons with the latter method, which we suggest may be more useful when c onsidering larger scale spatial changes. On average, the probability of pre cipitation exceeding the 1% threshold increases by a factor of 2.5 (GCM and RCM) in winter and by 1.7 (GCM) or 1.3 (RCM) in summer.