气候变化领域集成服务门户(CCPortal): Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data

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DOI	10.5194/acp-16-2543-2016
	Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data
	Tang, Wenjun; Qin, Jun; Yang, Kun; Liu, Shaomin; Lu, Ning; Niu, Xiaolei
通讯作者	Tang, WJ (通讯作者)
发表日期	2016
ISSN	1680-7316
EISSN	1680-7324
起始页码	2543
结束页码	2557
卷号	16 期号:4
英文摘要	Cloud parameters (cloud mask, effective particle radius, and liquid/ice water path) are the important inputs in estimating surface solar radiation (SSR). These parameters can be derived from MODIS with high accuracy, but their temporal resolution is too low to obtain high-temporal-resolution SSR retrievals. In order to obtain hourly cloud parameters, an artificial neural network (ANN) is applied in this study to directly construct a functional relationship between MODIS cloud products and Multifunctional Transport Satellite (MTSAT) geostationary satellite signals. In addition, an efficient parameterization model for SSR retrieval is introduced and, when driven with MODIS atmospheric and land products, its root mean square error (RMSE) is about 100Wm(-2) for 44 Baseline Surface Radiation Network (BSRN) stations. Once the estimated cloud parameters and other information (such as aerosol, precipitable water, ozone) are input to the model, we can derive SSR at high spatiotemporal resolution. The retrieved SSR is first evaluated against hourly radiation data at three experimental stations in the Haihe River basin of China. The mean bias error (MBE) and RMSE in hourly SSR estimate are 12.0Wm(-2) (or 3.5 %) and 98.5Wm(-2) (or 28.9 %), respectively. The retrieved SSR is also evaluated against daily radiation data at 90 China Meteorological Administration (CMA) stations. The MBEs are 9.8Wm(-2) (or 5.4 %); the RMSEs in daily and monthly mean SSR estimates are 34.2Wm(-2) (or 19.1 %) and 22.1Wm(-2) (or 12.3 %), respectively. The accuracy is comparable to or even higher than two other radiation products (GLASS and ISCCP-FD), and the present method is more computationally efficient and can produce hourly SSR data at a spatial resolution of 5 km.
关键词	PHOTOSYNTHETICALLY ACTIVE RADIATION SHORTWAVE RADIATION OPTICAL-PROPERTIES NEURAL-NETWORK SATELLITE IRRADIANCE ALGORITHM PRODUCTS ENERGY CHINA
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000372971500042
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258684
推荐引用方式 GB/T 7714	Tang, Wenjun,Qin, Jun,Yang, Kun,et al. Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data[J]. 中国科学院青藏高原研究所,2016,16(4).
APA	Tang, Wenjun,Qin, Jun,Yang, Kun,Liu, Shaomin,Lu, Ning,&Niu, Xiaolei.(2016).Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data.ATMOSPHERIC CHEMISTRY AND PHYSICS,16(4).
MLA	Tang, Wenjun,et al."Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data".ATMOSPHERIC CHEMISTRY AND PHYSICS 16.4(2016).