globalchange  > 气候减缓与适应
DOI: 10.1029/2018JG004401
Scopus ID: 2-s2.0-85046777272
Attribution of Local Temperature Response to Deforestation
Author: Liao W.; Rigden A.J.; Li D.
Source Publication: Journal of Geophysical Research: Biogeosciences
ISSN: 21698953
Publishing Year: 2018
Volume: 123, Issue:5
pages begin: 1572
pages end: 1587
Language: 英语
Keyword: attribution ; deforestation ; land surface temperature ; land use and land cover change
Scopus Keyword: aerodynamics ; air temperature ; Bowen ratio ; deforestation ; eddy covariance ; land cover ; land surface ; land use change ; optimization ; surface temperature ; warming
English Abstract: Land use and land cover change such as deforestation can directly induce changes in land surface temperature (LST). Using observational data from four paired eddy covariance sites, we attribute changes in LST induced by deforestation to changes in radiation, aerodynamic resistance, the Bowen ratio or surface resistance, and heat storage using two different methods: the intrinsic biophysical mechanism (IBM) method and the two-resistance mechanism method. The two models are first optimized to reduce the root-mean-square error of the simulated daily LST change by using daily-averaged inputs and a weighted average approach for computing the sensitivities. Both methods indicate that the daytime warming effect of deforestation is mostly induced by changes in aerodynamic resistance as the surface becomes smoother after deforestation, and the nighttime cooling effect of deforestation is controlled by changes in aerodynamic resistance, surface resistance, radiation, and heat storage. Both methods also indicate that changes in atmospheric temperature have a large impact on LST and need to be included in the LST attribution. However, there are significant differences between the two methods. The IBM method tends to overestimate the contribution of aerodynamic resistance due to the assumption that aerodynamic resistance and the Bowen ratio are independent. Additionally, the IBM method underestimates the contributions of radiation and heat storage during the daytime but overestimates them at night. By highlighting the similarity and dissimilarity between the two methods, this study suggests that acceptable agreement between observed and modeled LST change is the prerequisite for attribution but does not guarantee correct attribution. ©2018. American Geophysical Union. All Rights Reserved.
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被引频次[WOS]:6   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Appears in Collections:气候减缓与适应

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Affiliation: School of Geography and Planning, Sun Yat-sen University, Guangzhou, China; Department of Earth and Environment, Boston University, Boston, MA, United States; Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, United States

Recommended Citation:
Liao W.,Rigden A.J.,Li D.. Attribution of Local Temperature Response to Deforestation[J]. Journal of Geophysical Research: Biogeosciences,2018-01-01,123(5)
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