DOI: 10.5194/hess-22-4935-2018
论文题名: Development of soil moisture profiles through coupled microwave-thermal infrared observations in the southeastern United States
作者: Mishra V. ; Cruise J.F. ; Hain C.R. ; Mecikalski J.R. ; Anderson M.C.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期: 9 起始页码: 4935
结束页码: 4957
语种: 英语
Scopus关键词: Boundary conditions
; Climate models
; Infrared radiation
; Microwaves
; Natural resources
; Remote sensing
; Soil conservation
; Soil moisture
; Advanced microwave scanning radiometer
; Correlation coefficient
; Principle of Maximum Entropy
; Remote sensing applications
; Root mean square differences
; Soil moisture profiles
; Surface boundary conditions
; Surface energy balance modeling
; Soil surveys
英文摘要: The principle of maximum entropy (POME) can be used to develop vertical soil moisture (SM) profiles. The minimal inputs required by the POME model make it an excellent choice for remote sensing applications. Two of the major input requirements of the POME model are the surface boundary condition and profile-mean moisture content. Microwave-based SM estimates from the Advanced Microwave Scanning Radiometer (AMSR-E) can supply the surface boundary condition whereas thermal infrared-based moisture estimated from the Atmospheric Land EXchange Inverse (ALEXI) surface energy balance model can provide the mean moisture condition. A disaggregation approach was followed to downscale coarse-resolution (~25 km) microwave SM estimates to match the finer resolution (~5 km) thermal data. The study was conducted over multiple years (2006-2010) in the southeastern US. Disaggregated soil moisture estimates along with the developed profiles were compared with the Noah land surface model (LSM), as well as in situ measurements from 10 Natural Resource Conservation Services (NRCS) Soil Climate Analysis Network (SCAN) sites spatially distributed within the study region. The overall disaggregation results at the SCAN sites indicated that in most cases disaggregation improved the temporal correlations with unbiased root mean square differences (ubRMSD) in the range of 0.01-0.09 m3 m-3. The profile results at SCAN sites showed a mean bias of 0.03 and 0.05 (m3 m-3); ubRMSD of 0.05 and 0.06 (m3 m-3); and correlation coefficient of 0.44 and 0.48 against SCAN observations and Noah LSM, respectively. Correlations were generally highest in agricultural areas where values in the 0.6-0.7 range were achieved. © 2018 Hydrology and Earth System Sciences. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163191
Appears in Collections: 气候变化与战略
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作者单位: Mishra, V., Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL, United States, NASA-SERVIR, Marshall Space Flight Center, Huntsville, AL, United States; Cruise, J.F., Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL, United States; Hain, C.R., NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, AL, United States; Mecikalski, J.R., Atmospheric Science Department, University of Alabama in Huntsville, Huntsville, AL, United States; Anderson, M.C., Hydrology and Remote Sensing Laboratory, USDA Agricultural Research Service, Beltsville, MD, United States
Recommended Citation:
Mishra V.,Cruise J.F.,Hain C.R.,et al. Development of soil moisture profiles through coupled microwave-thermal infrared observations in the southeastern United States[J]. Hydrology and Earth System Sciences,2018-01-01,22(9)