Comprehensive assessment of MODIS-derived near-surface air temperature using wide elevation-spanned measurements in China.

Zhang, W; Zhang, B; Zhu, W; Tang, X; Li, F; Liu, X; Yu, Q

Comprehensive assessment of MODIS-derived near-surface air temperature using wide elevation-spanned measurements in China.

Zhang, W Zhang, B Zhu, W Tang, X Li, F Liu, X Yu, Q

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Sci Total Environ, 2021, 800, pp. 149535
Issue Date:: 2021-12-15

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Field	Value	Language
dc.contributor.author	Zhang, W
dc.contributor.author	Zhang, B
dc.contributor.author	Zhu, W
dc.contributor.author	Tang, X
dc.contributor.author	Li, F
dc.contributor.author	Liu, X
dc.contributor.author	Yu, Q https://orcid.org/0000-0001-6950-1821
dc.date.accessioned	2022-01-13T05:22:38Z
dc.date.available	2021-08-04
dc.date.available	2022-01-13T05:22:38Z
dc.date.issued	2021-12-15
dc.identifier.citation	Sci Total Environ, 2021, 800, pp. 149535
dc.identifier.issn	0048-9697
dc.identifier.issn	1879-1026
dc.identifier.uri	http://hdl.handle.net/10453/153057
dc.description.abstract	This is the first comprehensive evaluation of the Moderate Resolution Imaging Spectroradiometer (MODIS)-derived near-surface air temperature, which has been used widely in a series of large-scale models varying in various disciplines ranging from climatology, hydrology to ecology. Four retrieval methods: the highest available pressure in the atmospheric profile product, interpolation by the adiabatic lapse rate, interpolation by the hypsometric equation and the combination with land surface temperature, were developed in the past, but only with validation in regional scale. All of these are evaluated in this paper against 2168 hourly meteorological recordings with an elevation span of over 5000 m in China. Results show that the method of the highest available pressure exhibits a serious underestimation, especially in areas of high elevation, such as the Tibetan Plateau. Interpolation by the hypsometric equation can only fix the underestimation to a very small extent, while interpolation by the adiabatic lapse rate can achieve a relatively good performance. In addition to the elevation influence, substantially variable estimates occur with the parabola-like distribution in low elevation areas, which implies the influence of cloud in Southern China. The combination of the underestimation from interpolation by the adiabatic lapse rate and overestimation in land surface temperature can eliminate the disturbance of both elevation and cloud, resulting in the best performance with r = 0.94, bias = -0.83°C and root-mean-square-error = 4.18°C.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier BV
dc.relation.ispartof	Sci Total Environ
dc.relation.isbasedon	10.1016/j.scitotenv.2021.149535
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Environmental Sciences
dc.subject.mesh	China
dc.subject.mesh	Environmental Monitoring
dc.subject.mesh	Meteorology
dc.subject.mesh	Satellite Imagery
dc.subject.mesh	Temperature
dc.subject.mesh	Temperature
dc.subject.mesh	Environmental Monitoring
dc.subject.mesh	China
dc.subject.mesh	Meteorology
dc.subject.mesh	Satellite Imagery
dc.title	Comprehensive assessment of MODIS-derived near-surface air temperature using wide elevation-spanned measurements in China.
dc.type	Journal Article
utslib.citation.volume	800
utslib.location.activity	Netherlands
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access	*
dc.date.updated	2022-01-13T05:22:36Z
pubs.publication-status	Published
pubs.volume	800

Abstract:

This is the first comprehensive evaluation of the Moderate Resolution Imaging Spectroradiometer (MODIS)-derived near-surface air temperature, which has been used widely in a series of large-scale models varying in various disciplines ranging from climatology, hydrology to ecology. Four retrieval methods: the highest available pressure in the atmospheric profile product, interpolation by the adiabatic lapse rate, interpolation by the hypsometric equation and the combination with land surface temperature, were developed in the past, but only with validation in regional scale. All of these are evaluated in this paper against 2168 hourly meteorological recordings with an elevation span of over 5000 m in China. Results show that the method of the highest available pressure exhibits a serious underestimation, especially in areas of high elevation, such as the Tibetan Plateau. Interpolation by the hypsometric equation can only fix the underestimation to a very small extent, while interpolation by the adiabatic lapse rate can achieve a relatively good performance. In addition to the elevation influence, substantially variable estimates occur with the parabola-like distribution in low elevation areas, which implies the influence of cloud in Southern China. The combination of the underestimation from interpolation by the adiabatic lapse rate and overestimation in land surface temperature can eliminate the disturbance of both elevation and cloud, resulting in the best performance with r = 0.94, bias = -0.83°C and root-mean-square-error = 4.18°C.

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http://hdl.handle.net/10453/153057