DOI: 10.1002/jgrd.50113
论文题名: Enhancing model-based land surface temperature estimates using multiplatform microwave observations
作者: Holmes T.R.H. ; Crow W.T. ; Yilmaz M.T. ; Jackson T.J. ; Basara J.B.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 2 起始页码: 577
结束页码: 591
语种: 英语
Scopus关键词: Errors
; Estimation
; Microwave sensors
; Soil moisture
; Temperature measurement
; Weather forecasting
; Land surface temperature
; Microwave observations
; Microwave satellite sensors
; Numerical weather prediction
; Satellite observations
; Structural differences
; Surface temperatures
; Temperature retrieval
; Atmospheric temperature
; algorithm
; amplitude
; climate prediction
; data assimilation
; error analysis
; land surface
; microwave radiation
; remote sensing
; satellite imagery
; satellite sensor
; surface temperature
英文摘要: Land surface temperature plays an important role in surface processes and is a key input for physically based retrieval algorithms of soil moisture and evaporation. This study presents a framework for using independent estimates of land surface temperature from five microwave satellite sensors to improve the accuracy of land surface temperature output from a numerical weather prediction system in an off-line (postprocessing) analysis. First, structural differences in timing and amplitude of the temperature signal were addressed. Then, satellite observations were assimilated into an auto-regressive error model, formulated to estimate errors in the numerical weather prediction output. Errors in daily minimum and amplitude were treated separately. Results of this study provide new insights about potential added benefits of preprocessing and off-line assimilation of microwave remote sensing-based and model-based temperature retrievals. It is shown that the satellite observations may be used to reduce errors in surface temperature, particularly for day-time hours. Preprocessing is responsible for the bulk of this reduction in temperature error; data assimilation is shown to further reduce the random temperature error by a few tenths of a Kelvin, accounting for a 10% reduction in RMSE. © 2012. American Geophysical Union. 资助项目: NNH09ZDA001N-TERRAQUA
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64006
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Hydrology and Remote Sensing Lab, USDA ARS, 10300 Baltimore Ave, Beltsville, MD, 20705, United States; School of Meteorology and Oklahoma Climatological Survey, University of Oklahoma, Norman, OK, United States
Recommended Citation:
Holmes T.R.H.,Crow W.T.,Yilmaz M.T.,et al. Enhancing model-based land surface temperature estimates using multiplatform microwave observations[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(2)