DOI: 10.1029/2018JG004401
Scopus记录号: 2-s2.0-85046777272
论文题名: Attribution of Local Temperature Response to Deforestation
作者: Liao W. ; Rigden A.J. ; Li D.
刊名: Journal of Geophysical Research: Biogeosciences
ISSN: 21698953
出版年: 2018
卷: 123, 期: 5 起始页码: 1572
结束页码: 1587
语种: 英语
英文关键词: attribution
; deforestation
; land surface temperature
; land use and land cover change
Scopus关键词: aerodynamics
; air temperature
; Bowen ratio
; deforestation
; eddy covariance
; land cover
; land surface
; land use change
; optimization
; surface temperature
; warming
英文摘要: 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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113945
Appears in Collections: 气候减缓与适应
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作者单位: 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)