Arid regions
; Bayesian networks
; Data acquisition
; Mean square error
; Microwaves
; Radiative transfer
; Soil moisture
; Temperature
; Advanced Microwave Scanning Radiometer for the Earth Observing System
; Arid and semi-arid regions
; Bayesian model averaging
; Land data assimilation
; Land data assimilation systems
; Microwave brightness temperature
; Middle and lower reaches of the yangtze rivers
; Observation operator
; Atmospheric humidity
; AMSR-E
; brightness temperature
; data assimilation
; emissivity
; moisture content
; radiative transfer
; satellite data
; simulation
; soil moisture
; soil water potential
; China
; Yangtze River
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, P.O. Box 9804, Beijing 100029, China; National Meteorological Information Center, China Meteorological Administration, Beijing, China
Recommended Citation:
Jia B.,Tian X.,Xie Z.,et al. Assimilation of microwave brightness temperature in a land data assimilation system with multi-observation operators[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(10)