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Estimating land surface radiation balance using MODIS in northeastern China
Yu, Lingxue1,2; Liu, Tingxiang3; Cai, Hongyan4; Tang, Junmei5; Bu, Kun1; Yan, Fengqin1,2; Yang, Chaobin1,2; Yang, Jiuchun1; Zhang, Shuwen1
2014-11-11
Source PublicationJOURNAL OF APPLIED REMOTE SENSING
Volume8
AbstractNet radiation (R-n) is the balance between the incoming and outgoing radiation fluxes of longwave and shortwave radiations. As an essential parameter for surface energy budgets, R-n has been widely applied to weather prediction, agriculture evaluation, and regional water resource management. However, the traditional methods for estimating the net radiation are inadequate at the local to regional scales because of their spatial discontinuity and the uneven distribution of radiation sites. With high temporal and spatial resolutions, moderate resolution imaging spectroradiometer data provide numerous terrestrial and atmosphere products, which can help to estimate the shortwave and longwave radiations with limited measured meteorological data. Although many studies have calculated the radiation budget, most of them were applied in North America, where extensive ground validation data are available. In northeastern China, research on the radiation budget was rare, and ground validation data were difficult to acquire, which made our study meaningful and significant. In our work, we have experimented with different parameterization schemes of the components of the radiation budget in our study area and chose the most suitable one to estimate the instantaneous net radiation flux and its components for the study area. The results showed that the RMSE of the downwelling shortwave radiation flux, downwelling longwave radiation flux, upwelling longwave radiation flux, and instantaneous R-n were 31.5, 22.36, 20.61, and 34.32 W/m(2), respectively. The sinusoidal model of the diurnal cycle and instantaneous R-n were used to calculate the daily average R-n, and the resulting RMSE was 47.67 W/m(2). Finally, the variation of the monthly average R-n of northeastern China in 2011 was analyzed, and the result showed that the temporal and spatial distributions of the monthly average net radiation might be closely related to the land cover types, specifically the seasonal snow cover changes. (C) 2014 Society of PhotoOptical Instrumentation Engineers (SPIE)
SubtypeArticle
KeywordNet Radiation Modis Northeastern China
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Technology
WOS Subject ExtendedEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS KeywordCLEAR-SKY DAYS ; SIMPLE PHYSICAL MODEL ; NOAA-AVHRR DATA ; NET-RADIATION ; SOLAR-RADIATION ; SHORTWAVE RADIATION ; HETEROGENEOUS LANDSCAPE ; COMPLEX TERRAIN ; LONGWAVE ; ALBEDO
Indexed BySCI
Language英语
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000348675400004
PublisherSPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68426
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhang, Shuwen
Affiliation1.Chinese Acad Sci, Northest Inst Geog & Agroecol, Changchun 130012, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Bur Land & Resources Linyi City, Linyi 276000, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
5.Univ Maryland Baltimore Cty, Dept Geog & Environm, Baltimore, MD 21250 USA
Recommended Citation
GB/T 7714
Yu, Lingxue,Liu, Tingxiang,Cai, Hongyan,et al. Estimating land surface radiation balance using MODIS in northeastern China[J]. JOURNAL OF APPLIED REMOTE SENSING,2014,8.
APA Yu, Lingxue.,Liu, Tingxiang.,Cai, Hongyan.,Tang, Junmei.,Bu, Kun.,...&Zhang, Shuwen.(2014).Estimating land surface radiation balance using MODIS in northeastern China.JOURNAL OF APPLIED REMOTE SENSING,8.
MLA Yu, Lingxue,et al."Estimating land surface radiation balance using MODIS in northeastern China".JOURNAL OF APPLIED REMOTE SENSING 8(2014).
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