On the applicability of temperature and precipitation data from CMIP3 for China.

Global Circulation Models (GCMs) contributed to the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) and are widely used in global change research. This paper assesses the performance of the AR4 GCMs in simulating precipitation and temperature in China from 1960 to 199...

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Autores principales:	Chiyuan Miao, Qingyun Duan, Lin Yang, Alistair G L Borthwick
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fc15be011381487998b56485ab902f11
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spelling	oai:doaj.org-article:fc15be011381487998b56485ab902f112021-11-18T07:05:00ZOn the applicability of temperature and precipitation data from CMIP3 for China.1932-620310.1371/journal.pone.0044659https://doaj.org/article/fc15be011381487998b56485ab902f112012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23028575/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Global Circulation Models (GCMs) contributed to the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) and are widely used in global change research. This paper assesses the performance of the AR4 GCMs in simulating precipitation and temperature in China from 1960 to 1999 by comparison with observed data, using system bias (B), root-mean-square error (RMSE), Pearson correlation coefficient (R) and Nash-Sutcliffe model efficiency (E) metrics. Probability density functions (PDFs) are also fitted to the outputs of each model. It is shown that the performance of each GCM varies to different degrees across China. Based on the skill score derived from the four metrics, it is suggested that GCM 15 (ipsl_cm4) and GCM 3 (cccma_cgcm_t63) provide the best representations of temperature and precipitation, respectively, in terms of spatial distribution and trend over 10 years. The results also indicate that users should apply carefully the results of annual precipitation and annual temperature generated by AR4 GCMs in China due to poor performance. At a finer scale, the four metrics are also used to obtain best fit scores for ten river basins covering mainland China. Further research is proposed to improve the simulation accuracy of the AR4 GCMs regarding China.Chiyuan MiaoQingyun DuanLin YangAlistair G L BorthwickPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 9, p e44659 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chiyuan Miao Qingyun Duan Lin Yang Alistair G L Borthwick On the applicability of temperature and precipitation data from CMIP3 for China.
description	Global Circulation Models (GCMs) contributed to the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) and are widely used in global change research. This paper assesses the performance of the AR4 GCMs in simulating precipitation and temperature in China from 1960 to 1999 by comparison with observed data, using system bias (B), root-mean-square error (RMSE), Pearson correlation coefficient (R) and Nash-Sutcliffe model efficiency (E) metrics. Probability density functions (PDFs) are also fitted to the outputs of each model. It is shown that the performance of each GCM varies to different degrees across China. Based on the skill score derived from the four metrics, it is suggested that GCM 15 (ipsl_cm4) and GCM 3 (cccma_cgcm_t63) provide the best representations of temperature and precipitation, respectively, in terms of spatial distribution and trend over 10 years. The results also indicate that users should apply carefully the results of annual precipitation and annual temperature generated by AR4 GCMs in China due to poor performance. At a finer scale, the four metrics are also used to obtain best fit scores for ten river basins covering mainland China. Further research is proposed to improve the simulation accuracy of the AR4 GCMs regarding China.
format	article
author	Chiyuan Miao Qingyun Duan Lin Yang Alistair G L Borthwick
author_facet	Chiyuan Miao Qingyun Duan Lin Yang Alistair G L Borthwick
author_sort	Chiyuan Miao
title	On the applicability of temperature and precipitation data from CMIP3 for China.
title_short	On the applicability of temperature and precipitation data from CMIP3 for China.
title_full	On the applicability of temperature and precipitation data from CMIP3 for China.
title_fullStr	On the applicability of temperature and precipitation data from CMIP3 for China.
title_full_unstemmed	On the applicability of temperature and precipitation data from CMIP3 for China.
title_sort	on the applicability of temperature and precipitation data from cmip3 for china.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/fc15be011381487998b56485ab902f11
work_keys_str_mv	AT chiyuanmiao ontheapplicabilityoftemperatureandprecipitationdatafromcmip3forchina AT qingyunduan ontheapplicabilityoftemperatureandprecipitationdatafromcmip3forchina AT linyang ontheapplicabilityoftemperatureandprecipitationdatafromcmip3forchina AT alistairglborthwick ontheapplicabilityoftemperatureandprecipitationdatafromcmip3forchina
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On the applicability of temperature and precipitation data from CMIP3 for China.

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