Performance of ENSEMBLES regional climate models over Central Europe using various metrics

被引：0
作者：
Eva Holtanová
Jiří Mikšovský
Jaroslava Kalvová
Petr Pišoft
Martin Motl
机构：
[1] Charles University in Prague,Department of Meteorology and Environment Protection, Faculty of Mathematics and Physics
来源：
Theoretical and Applied Climatology | 2012年 / 108卷
关键词：
Root Mean Square Error; Mean Square Error; Regional Climate Model; Global Climate Model; Skill Score;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We show the evaluation of ENSEMBLES regional climate models (RCMs) driven by reanalysis ERA40 over a region centered at the Czech Republic. Attention is paid especially to the model ALADIN-CLIMATE/CZ, being used as the basis of the new climate change scenarios simulation for the Czech Republic. The validation criteria used here are based on monthly or seasonal mean air temperature and precipitation. We concentrate not only on spatiotemporal mean values but also on temporal standard deviation, inter-annual variability, the mean annual cycle, and the skill of the models to represent the observed spatial patterns of these quantities. Model ALADIN-CLIMATE/CZ performs quite well in comparison to the other RCMs; we find its performance satisfactory for further use for impact studies. However, it is also shown that the results of evaluation of the RCMs’ skill in simulating observed climate strongly depend on the criteria incorporated for the evaluation.
引用
收藏
页码：463 / 470
页数：7
相关论文
共 112 条
  • [21] Doutriaux C(2011)Interpolation techniques used for data quality control and calculation of technical series: an example of Central European daily time series IDOJARAS 115 87-2075
  • [22] Hagedorn R(2011)Error characteristics of high resolution regional climate models over the Alpine area Clim Dyn 37 377-3012
  • [23] Doblas-Reyes FJ(2007)The use of the multi-model ensemble in probabilistic climate projections Phil Trans R Soc A 365 2053-4058
  • [24] Palmer TN(2005)The ERA-40 re-analysis Q J R Meteor Soc 131 2961-1628
  • [25] Holtanová E(2010)Performance and reliability of multimodel hydrological ensemble simulations based on seventeen lumped models and a thousand catchments Hydrol Earth Syst Sci Discuss 7 4023-260
  • [26] Kalvová J(2004)Regional climate modeling: progress, challenges, and prospects J Meteor Soc Jpn 82 1599-81
  • [27] Mikšovský J(2008)Can multi-model combination really enhance the prediction skill of probabilistic ensemble forecasts? Q J R Meteorol Soc 134 241-undefined
  • [28] Pišoft P(2010)Upgrades to the reliability ensemble averaging method for producing probabilistic climate-change projections Clim Res 41 61-undefined
  • [29] Motl M(undefined)undefined undefined undefined undefined-undefined
  • [30] Jacob D(undefined)undefined undefined undefined undefined-undefined
12345678910