DOI: 10.1029/2017JD027785
Scopus记录号: 2-s2.0-85047638433
论文题名: Sensitivity and Uncertainty of a Long-Term, High-Resolution, Global, Terrestrial Sensible Heat Flux Data Set
作者: Siemann A.L. ; Chaney N. ; Wood E.F.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 10 起始页码: 4988
结束页码: 5000
语种: 英语
英文关键词: remotely sensed satellite data
; sensible heat flux
; sensitivity
; uncertainty
英文摘要: Sensible heat flux directly influences local and regional climate and can be estimated using remotely sensed satellite observations. Although significant efforts have been made to estimate sensitivity and uncertainty in energy flux estimates at the local and regional scales using both models and algorithms compatible with remotely sensed satellite data, few studies quantify the sensitivity or uncertainty at the global scale, enabling a global comparison among uncertainty drivers. This study uses the 10 percentile change from the mean value in the empirical cumulative distribution function for the distribution of each input data set to calculate the sensitivity of the unconstrained, terrestrial sensible heat flux to change in the input data sets and uses this sensitivity in a first-order analysis of the uncertainty in the sensible heat flux. The largest sensitivities to the Zilitinkevich empirical constant (Czil) are in the Amazon, northern Australia, and the plains of North America, while the sensitivity of the sensible heat flux to the temperature gradient is largest in dry regions of shorter vegetation. The Czil contributes most to the uncertainty of over 50–100 W/m2 in the Amazon and Indonesia, while the temperature gradient contributes most to the uncertainty elsewhere, producing an overall global average uncertainty of 24.8 W/m2. Future work should reduce the uncertainties in the temperature gradient and the Czil to reduce the uncertainty in sensible heat flux estimates. ©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/113866
Appears in Collections: 气候减缓与适应
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作者单位: Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States
Recommended Citation:
Siemann A.L.,Chaney N.,Wood E.F.. Sensitivity and Uncertainty of a Long-Term, High-Resolution, Global, Terrestrial Sensible Heat Flux Data Set[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(10)