Estimating surface solar irradiance from satellites: Past, present, and future perspectives

REMOTE SENSING OF ENVIRONMENT

卷:233

Article

Huang, Guanghui^1,2,3  Li, Zhanqing^4,5,6  Li, Xin^7,8  Liang, Shunlin³  Yang, Kun⁹  Wang, Dongdong³  Zhang, Yi³ 

[1] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Gansu, Peoples R China

[2] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Gansu, Peoples R China

[3] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA

[4] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20740 USA

[5] Univ Maryland, ESSIC, College Pk, MD 20740 USA

[6] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing, Peoples R China

[7] Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China

[8] Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China

[9] Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China

关键词: Surface solar irradiance;    Satellites;    Radiation budget;    Remote sensing;    Review;   

DOI  :  10.1016/j.rse.2019.111371

来源: Elsevier

【 摘 要 】

Surface Solar Irradiance (SSI) is a key parameter dictating surface-atmosphere interactions, driving radiative, hydrological, and land surface processes, and can thus impinge greatly upon weather and climate. It is thereby a prerequisite of many studies and applications. Estimating SSI from satellites began in the 1960s, and is currently the principal way to map SSI spatiotemporal distributions from regional to global scales. Starting from an overview of historical studies carried out in the past several decades, this paper reviews the progresses made in methodology, validation, and products over these years. First, the requirements of SSI in various studies or applications are presented along with the theoretical background of SSI satellite estimation. Methods to estimate SSI from satellites are then summarized as well as their advantages and limitations. Validations of satellite-based SSI on two typical spatial scales are discussed followed by a brief description of existing products and their accuracies. Finally, the challenges faced by current SSI satellite estimation are analyzed, and possible improvements to implement in the future are suggested. This review not only updates the review paper by Pinker et al. (1995) on satellite methods to derive SSI but also offers a more comprehensive summary of the related studies and applications.

【 授权许可】

Free