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Article: Algorithms for calculating topographic parameters and their uncertainties in downward surface solar radiation (DSSR) estimation

TitleAlgorithms for calculating topographic parameters and their uncertainties in downward surface solar radiation (DSSR) estimation
Authors
KeywordsDownward surface solar radiation (DSSR)
remote sensing
terrain parameter
Issue Date2018
Citation
IEEE Geoscience and Remote Sensing Letters, 2018, v. 15, n. 8, p. 1149-1153 How to Cite?
AbstractDownward surface solar radiation (DSSR) plays an important role in the earth's surface energy budget. However, it has significant spatialoral heterogeneity over the rugged terrain. To accurately capture DSSR, many analytical terrain parameter algorithms based on digital elevation models (DEMs) have been proposed. However, the uncertainties of the DSSR components associated with these algorithms remain unclear. In this letter, we compared three types of terrain parameter algorithms and their respective DSSR component uncertainties at different spatial scales by using 3-D discrete anisotropic radiative model simulations under different atmospheric conditions. The comparison results indicated that differences in slopes, sky view factors, and terrain view factors can be up to 4°, 0.165°, and 0.264°, respectively. For a high atmospheric visibility, the maximum discrepancies of direct solar irradiance and adjacent terrain-reflected irradiance over the high reflective surface (e.g., fresh snow and ice) are 26.7 and 42.8 W m2, respectively. In addition, for a low atmospheric visibility, a maximum difference of 31 W m2 is identified for diffuse skylight. These uncertainties are nonnegligible when using a high-resolution DEM (e.g., 30 m), but as the DEM resolution becomes coarser, the uncertainties decrease.
Persistent Identifierhttp://hdl.handle.net/10722/327190
ISSN
2022 Impact Factor: 4.8
2020 SCImago Journal Rankings: 1.372
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWu, Shengbiao-
dc.contributor.authorWen, Jianguang-
dc.contributor.authorYou, Dongqin-
dc.contributor.authorZhang, Hailong-
dc.contributor.authorXiao, Qing-
dc.contributor.authorLiu, Qinhuo-
dc.date.accessioned2023-03-31T05:29:36Z-
dc.date.available2023-03-31T05:29:36Z-
dc.date.issued2018-
dc.identifier.citationIEEE Geoscience and Remote Sensing Letters, 2018, v. 15, n. 8, p. 1149-1153-
dc.identifier.issn1545-598X-
dc.identifier.urihttp://hdl.handle.net/10722/327190-
dc.description.abstractDownward surface solar radiation (DSSR) plays an important role in the earth's surface energy budget. However, it has significant spatialoral heterogeneity over the rugged terrain. To accurately capture DSSR, many analytical terrain parameter algorithms based on digital elevation models (DEMs) have been proposed. However, the uncertainties of the DSSR components associated with these algorithms remain unclear. In this letter, we compared three types of terrain parameter algorithms and their respective DSSR component uncertainties at different spatial scales by using 3-D discrete anisotropic radiative model simulations under different atmospheric conditions. The comparison results indicated that differences in slopes, sky view factors, and terrain view factors can be up to 4°, 0.165°, and 0.264°, respectively. For a high atmospheric visibility, the maximum discrepancies of direct solar irradiance and adjacent terrain-reflected irradiance over the high reflective surface (e.g., fresh snow and ice) are 26.7 and 42.8 W m2, respectively. In addition, for a low atmospheric visibility, a maximum difference of 31 W m2 is identified for diffuse skylight. These uncertainties are nonnegligible when using a high-resolution DEM (e.g., 30 m), but as the DEM resolution becomes coarser, the uncertainties decrease.-
dc.languageeng-
dc.relation.ispartofIEEE Geoscience and Remote Sensing Letters-
dc.subjectDownward surface solar radiation (DSSR)-
dc.subjectremote sensing-
dc.subjectterrain parameter-
dc.titleAlgorithms for calculating topographic parameters and their uncertainties in downward surface solar radiation (DSSR) estimation-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/LGRS.2018.2831916-
dc.identifier.scopuseid_2-s2.0-85047014707-
dc.identifier.volume15-
dc.identifier.issue8-
dc.identifier.spage1149-
dc.identifier.epage1153-
dc.identifier.eissn1558-0571-
dc.identifier.isiWOS:000440204900003-

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