气候变化领域集成服务门户(CCPortal): Impact of Reference Dataset Selection on RCM Evaluation, Bias Correction, and Resulting Climate Change Signals of Precipitation

CCPortal

DOI	10.1175/JHM-D-18-0108.1
	Impact of Reference Dataset Selection on RCM Evaluation, Bias Correction, and Resulting Climate Change Signals of Precipitation
	Gampe, David; Schmid, Josef; Ludwig, Ralf
发表日期	2019-09-01
ISSN	1525-755X
EISSN	1525-7541
卷号	20 期号:9 页码:1813-1828
英文摘要	Gridded datasets of precipitation are of great importance to evaluate recent climate models and are frequently applied to select a subset of available models. As climate models are still prone to biases on the regional scale, gridded datasets are also ess
关键词	Europe Precipitation Climate change Bias Climate models Model evaluation performance
学科领域	Meteorology & Atmospheric Sciences
语种	英语
WOS记录号	WOS:000482381900001
来源期刊	JOURNAL OF HYDROMETEOROLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/82100
作者单位	Ludwig Maximilians Univ Munchen, Dept Geog, Munich, Germany
推荐引用方式 GB/T 7714	Gampe, David,Schmid, Josef,Ludwig, Ralf. Impact of Reference Dataset Selection on RCM Evaluation, Bias Correction, and Resulting Climate Change Signals of Precipitation[J],2019,20(9):1813-1828.
APA	Gampe, David,Schmid, Josef,&Ludwig, Ralf.(2019).Impact of Reference Dataset Selection on RCM Evaluation, Bias Correction, and Resulting Climate Change Signals of Precipitation.JOURNAL OF HYDROMETEOROLOGY,20(9),1813-1828.
MLA	Gampe, David,et al."Impact of Reference Dataset Selection on RCM Evaluation, Bias Correction, and Resulting Climate Change Signals of Precipitation".JOURNAL OF HYDROMETEOROLOGY 20.9(2019):1813-1828.