globalchange  > 气候减缓与适应
DOI: 10.1002/joc.5351
论文题名:
Climate change projections over China using regional climate models forced by two CMIP5 global models. Part I: evaluation of historical simulations
作者: Hui P.; Tang J.; Wang S.; Niu X.; Zong P.; Dong X.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38
起始页码: e57
结束页码: e77
语种: 英语
英文关键词: climate in China ; different RCMs ; dynamical downscaling ; multi-driving fields
Scopus关键词: Atmospheric temperature ; Climate change ; Distribution functions ; Earth (planet) ; Electric power system interconnection ; Precipitation (meteorology) ; Probability distributions ; Weather forecasting ; Climate in China ; Coupled Model Intercomparison Project ; Different RCMs ; Driving field ; Dynamical downscaling ; Regional climate modeling systems ; Regional climate simulation ; Weather research and forecasting ; Climate models ; air temperature ; climate change ; climate modeling ; CMIP ; computer simulation ; downscaling ; precipitation (climatology) ; regional climate ; China
英文摘要: Forced by two Coupled Model Intercomparison Project phase 5 (CMIP5) global models, EC-EARTH and IPSL-CM5A, both regional climate models (RCMs) of Regional Climate Model system version 4 (RegCM4) and Weather Research and Forecasting (WRF) are used to perform regional climate simulations over China for 1980–2000. In general, the simulations in Institute Pierre Simon Laplace-Climate Model version 5A (IPSL-CM5A) are improved by the downscaling of many aspects of both precipitation and surface air temperature, with improvements including the significant enhancement of the resolution and presentation of regional processes in the RCMs. However, the improvement over EC-EARTH is limited. In addition, the added values also depend on the seasons, geophysical locations over the country and the variables presented. For the mean climates, both RCMs are able to exhibit better annual and winter precipitation measurements when downscaling IPSL-CM5A over most areas. The superiority of the RCMs over IPSL-CM5A for the surface air temperature is only obtained in summer. Seasonal cycles of both precipitation and surface air temperature are well simulated by all the models. The RCMs succeed in improving the seasonal cycles of precipitation over both GCMs in most sub-regions, but the seasonal cycles of temperature are only improved over IPSL-CM5A. In addition, the downscaling demonstrates more consistent probability distribution functions (PDFs) of precipitation with those of the observations in most sub-regions. For extreme precipitation, the RCMs provide outstanding convective wet days (CWD) with reduced biases and enhanced presentations of spatial patterns. For the other three extreme precipitation indices, the improvement of the RCMs is relatively weak, with superior over the IPSL-CM5A in several areas. The extreme temperature indices are better modelled by the RCMs, except for the minimum values of the daily minimum temperatures (TNn), with greater added values over IPSL-CM5A than those over EC-EARTH. Comparing two RCMs, WRF shows advantages in the downscaling precipitation, while RegCM4 works better for the surface air temperature. © 2017 Royal Meteorological Society
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117023
Appears in Collections:气候减缓与适应

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作者单位: Jiangsu Climate Center, Jiangsu Provincial Meteorological Bureau, Nanjing, China; CMA-NJU Joint Laboratory for Climate Prediction Studies, Institute for Climate and Global Change Research, School of Atmospheric Sciences, Nanjing University, China; Jiangsu Meteorological Observatory, Nanjing, China; Chongqing Climate Center, China

Recommended Citation:
Hui P.,Tang J.,Wang S.,et al. Climate change projections over China using regional climate models forced by two CMIP5 global models. Part I: evaluation of historical simulations[J]. International Journal of Climatology,2018-01-01,38
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