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学科主题: 地理学::自然地理学
题名: Evaluation of multiple forcing data sets for precipitation and shortwave radiation over major land areas of China
作者: Yang, F (Yang, Fan)1; Lu, H (Lu, Hui)1, 2; Yang, K (Yang, Kun)1, 2, 3, 4; He, J (He, Jie)4; Wang, W (Wang, Wei)1, 5; Wright, JS (Wright, Jonathon S.)1, 2; Li, CW (Li, Chengwei)1; Han, ML (Han, Menglei)1; Li, YS (Li, Yishan)1
通讯作者: Lu, H
关键词: DATA ASSIMILATION SYSTEM ; TIBETAN PLATEAU ; SOLAR-RADIATION ; RIVER-BASIN ; YELLOW-RIVER ; PRODUCTS ; IMPACTS ; CLIMATE ; MODEL ; 20TH-CENTURY
刊名: HYDROLOGY AND EARTH SYSTEM SCIENCES
发表日期: 2017
DOI: 10.5194/hess-21-5805-2017
卷: 21, 期:11, 页:5805-5821
收录类别: SCI
合作性质: 国际
文章类型: Article
类目[WOS]: Geosciences, Multidisciplinary; Water Resources ; Geology; Water Resources
研究领域[WOS]: Geology; Water Resources
英文摘要: Precipitation and shortwave radiation play important roles in climatic, hydrological and biogeochemical cycles. Several global and regional forcing data sets currently provide historical estimates of these two variables over China, including the Global Land Data Assimilation System (GLDAS), the China Meteorological Administration (CMA) Land Data Assimilation System (CLDAS) and the China Meteorological Forcing Dataset (CMFD). The CN05.1 precipitation data set, a gridded analysis based on CMA gauge observations, also provides high-resolution historical precipitation data for China. In this study, we present an intercomparison of precipitation and shortwave radiation data from CN05.1, CMFD, CLDAS and GLDAS during 2008-2014. We also validate all four data sets against independent ground station observations. All four forcing data sets capture the spatial distribution of precipitation over major land areas of China, although CLDAS indicates smaller annual-mean precipitation amounts than CN05.1, CMFD or GLDAS. Time series of precipitation anomalies are largely consistent among the data sets, except for a sudden decrease in CMFD after August 2014. All forcing data indicate greater temporal variations relative to the mean in dry regions than in wet regions. Validation against independent precipitation observations provided by the Ministry of Water Resources (MWR) in the middle and lower reaches of the Yangtze River indicates that CLDAS provides the most realistic estimates of spatiotemporal variability in precipitation in this region. CMFD also performs well with respect to annual mean precipitation, while GLDAS fails to accurately capture much of the spatiotemporal variability and CN05.1 contains significant high biases relative to the MWR observations. Estimates of shortwave radiation from CMFD are largely consistent with station observations, while CLDAS and GLDAS greatly overestimate shortwave radiation. All three forcing data sets capture the key features of the spatial distribution, but estimates from CLDAS and GLDAS are systematically higher than those from CMFD over most of mainland China. Based on our evaluation metrics, CLDAS slightly outperforms GLDAS. CLDAS is also closer than GLDAS to CMFD with respect to temporal variations in shortwave radiation anomalies, with substantial differences among the time series. Differences in temporal variations are especially pronounced south of 34 degrees N. Our findings provide valuable guidance for a variety of stakeholders, including land-surface modelers and data providers.
语种: 英语
WOS记录号: WOS:000416004700002
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.itpcas.ac.cn/handle/131C11/7941
Appears in Collections:图书馆_期刊论文

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作者单位: 1.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China.
2.Joint Ctr Global Change Studies, Beijing 100875, Peoples R China.
3.CAS Ctr Excellence Tibetan Plateau Earth Syst, Beijing 100101, Peoples R China.
4.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China.
5.Changjiang Inst Survey Planning Design & Res, Wuhan 430010, Hubei, Peoples R China.

Recommended Citation:
Yang, F ,Lu, H ,Yang, K ,et al. Evaluation of multiple forcing data sets for precipitation and shortwave radiation over major land areas of China[J]. HYDROLOGY AND EARTH SYSTEM SCIENCES,2017,21(11):5805-5821.
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