DOI: 10.1002/2014GL061991
论文题名: Leveraging microwave polarization information for the calibration of a land data assimilation system
作者: Holmes T.R.H. ; Crow W.T. ; De Jeu R.A.M.
刊名: Geophysical Research Letters
ISSN: 0094-9479
EISSN: 1944-9210
出版年: 2014
卷: 41, 期: 24 起始页码: 8879
结束页码: 8886
语种: 英语
英文关键词: calibration
; land surface model
; passive microwave
Scopus关键词: Data acquisition
; Microwaves
; Moisture
; Opacity
; Polarization
; Radiative transfer
; Soil moisture
; Surface measurement
; Vegetation
; Data assimilation systems
; Land data assimilation systems
; Land surface modeling
; Microwave brightness temperature
; Microwave polarizations
; Passive microwaves
; Polarization difference
; Radiative transfer model
; Calibration
; calibration
; data acquisition
; error analysis
; experimental study
; land surface
; microwave radiation
; polarization
; radiative transfer
; sensitivity analysis
; soil moisture
英文摘要: This letter contributes a new approach to calibrating a tau-omega radiative transfer model coupled to land surface model output with low-frequency (<10 GHz) microwave brightness temperature (TB) observations. The problem of calibrating this system is generally poorly posed because various parameter combinations may yield indistinguishable (least squares error) results. This is theoretically important for a land data assimilation system since alternative parameter combinations have different impacts on the sensitivity of TB to soil moisture and misattribution of systematic error may therefore disrupt data assimilation system performance. Via synthetic experiments we demonstrate that using TB polarization difference to parameterize vegetation opacity can improve the stability of calibrated soil moisture/TB sensitivities relative to the more typical approach of utilizing ancillary information to estimate vegetation opacity. The proposed approach fully follows from the radiative transfer model, implemented according to commonly adopted assumptions, and reduces by one the number of calibration parameters. Key Points Assimilating microwave observations in land surface model requires calibrationCalibrating with noisy data can bias sensitivity of a radiative transfer modelMicrowave polarization is shown to add beneficial constraints on calibration ©2014. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921825949&doi=10.1002%2f2014GL061991&partnerID=40&md5=0b793830435fe0fc39faafa8bf3a7cee
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/6743
Appears in Collections: 气候减缓与适应
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作者单位: USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States
Recommended Citation:
Holmes T.R.H.,Crow W.T.,De Jeu R.A.M.. Leveraging microwave polarization information for the calibration of a land data assimilation system[J]. Geophysical Research Letters,2014-01-01,41(24).