气候变化领域集成服务门户(CCPortal): Impact of bias correction and downscaling through quantile mapping on simulated climate change signal: a case study over Central Italy

CCPortal

DOI	10.1007/s00704-018-2406-8
	Impact of bias correction and downscaling through quantile mapping on simulated climate change signal: a case study over Central Italy
	Sangelantoni, Lorenzo; Russo, Aniello; Gennaretti, Fabio
发表日期	2019
ISSN	0177-798X
EISSN	1434-4483
卷号	135 期号:1-2 页码:725-740
英文摘要	Quantile mapping (QM) represents a common post-processing technique used to connect climate simulations to impact studies at different spatial scales. Depending on the simulation-observation spatial scale mismatch, QM can be used for two different applica
学科领域	Meteorology & Atmospheric Sciences
语种	英语
WOS记录号	WOS:000459226500050
来源期刊	THEORETICAL AND APPLIED CLIMATOLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/84166
作者单位	Univ Aquila, Dept Phys & Chem Sci, CETEMPS, I-67100 Laquila, Italy
推荐引用方式 GB/T 7714	Sangelantoni, Lorenzo,Russo, Aniello,Gennaretti, Fabio. Impact of bias correction and downscaling through quantile mapping on simulated climate change signal: a case study over Central Italy[J],2019,135(1-2):725-740.
APA	Sangelantoni, Lorenzo,Russo, Aniello,&Gennaretti, Fabio.(2019).Impact of bias correction and downscaling through quantile mapping on simulated climate change signal: a case study over Central Italy.THEORETICAL AND APPLIED CLIMATOLOGY,135(1-2),725-740.
MLA	Sangelantoni, Lorenzo,et al."Impact of bias correction and downscaling through quantile mapping on simulated climate change signal: a case study over Central Italy".THEORETICAL AND APPLIED CLIMATOLOGY 135.1-2(2019):725-740.