Incorporating dynamic factors for improving a GIS-based solar radiation model

Zhang, M; Wang, B; Liu, DL; Liu, J; Zhang, H; Feng, P; Kong, D; Cleverly, J; Yang, X; Yu, Q

Incorporating dynamic factors for improving a GIS-based solar radiation model

Zhang, M

Wang, B Liu, DL Liu, J Zhang, H

Feng, P

Kong, D Cleverly, J

Yang, X

Yu, Q

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Publisher:: WILEY
Publication Type:: Journal Article
Citation:: Transactions in GIS, 2020, 24, (2), pp. 423-441
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Zhang, M https://orcid.org/0000-0002-5431-9274
dc.contributor.author	Wang, B
dc.contributor.author	Liu, DL
dc.contributor.author	Liu, J
dc.contributor.author	Zhang, H https://orcid.org/0000-0001-9369-7481
dc.contributor.author	Feng, P https://orcid.org/0000-0003-4845-9876
dc.contributor.author	Kong, D
dc.contributor.author	Cleverly, J https://orcid.org/0000-0002-2731-7150
dc.contributor.author	Yang, X https://orcid.org/0000-0002-5990-2186
dc.contributor.author	Yu, Q https://orcid.org/0000-0001-6950-1821
dc.date.accessioned	2020-12-16T04:26:24Z
dc.date.available	2020-12-16T04:26:24Z
dc.date.issued	2020-01-01
dc.identifier.citation	Transactions in GIS, 2020, 24, (2), pp. 423-441
dc.identifier.issn	1361-1682
dc.identifier.issn	1467-9671
dc.identifier.uri	http://hdl.handle.net/10453/144762
dc.description.abstract	© 2020 John Wiley & Sons Ltd Solar radiation has been a major input to agricultural, hydrological, and ecological modeling. However, solar radiation is usually influenced by three groups of dynamic factors: sun–earth position, terrain, and atmospheric effects. Therefore, an integrated approach to accurately consider the impacts of those dynamic factors on solar radiation is essential to estimate solar radiation over rugged terrain. In this study, a spatial and temporal gap-filling algorithm was proposed to obtain a seamless daily MODIS albedo dataset. A 1 km-resolution digital elevation model was used to model the impact of local topography and shading by surrounding terrain on solar radiation. A sunshine-based model was adopted to simulate radiation under the influence of clouds. A GIS-based solar radiation model that incorporates albedo, shading by surrounding terrain, and variations in cloudiness was used to address the spatial variability of these factors in mountainous terrain. Compared with other independent solar radiation products, our model generated a more reliable solar radiation product over rugged terrain, with an R2 of 0.88 and an RMSE of 2.55 MJ m−2 day−1. The improved solar radiation products and open source app can be used further in practice or scientific research.
dc.language	English
dc.publisher	WILEY
dc.relation	Food Agility CRC Limited
dc.relation.ispartof	Transactions in GIS
dc.relation.isbasedon	10.1111/tgis.12607
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0804 Data Format, 0909 Geomatic Engineering, 1604 Human Geography
dc.subject.classification	Geological & Geomatics Engineering
dc.title	Incorporating dynamic factors for improving a GIS-based solar radiation model
dc.type	Journal Article
utslib.citation.volume	24
utslib.for	0804 Data Format
utslib.for	0909 Geomatic Engineering
utslib.for	1604 Human Geography
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2020-12-16T04:26:05Z
pubs.issue	2
pubs.publication-status	Published online
pubs.volume	24
utslib.citation.issue	2

Abstract:

© 2020 John Wiley & Sons Ltd Solar radiation has been a major input to agricultural, hydrological, and ecological modeling. However, solar radiation is usually influenced by three groups of dynamic factors: sun–earth position, terrain, and atmospheric effects. Therefore, an integrated approach to accurately consider the impacts of those dynamic factors on solar radiation is essential to estimate solar radiation over rugged terrain. In this study, a spatial and temporal gap-filling algorithm was proposed to obtain a seamless daily MODIS albedo dataset. A 1 km-resolution digital elevation model was used to model the impact of local topography and shading by surrounding terrain on solar radiation. A sunshine-based model was adopted to simulate radiation under the influence of clouds. A GIS-based solar radiation model that incorporates albedo, shading by surrounding terrain, and variations in cloudiness was used to address the spatial variability of these factors in mountainous terrain. Compared with other independent solar radiation products, our model generated a more reliable solar radiation product over rugged terrain, with an R2 of 0.88 and an RMSE of 2.55 MJ m−2 day−1. The improved solar radiation products and open source app can be used further in practice or scientific research.

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http://hdl.handle.net/10453/144762