Improving the estimation of hydrothermal state variables in the active layer of frozen ground by assimilating in situ observations and SSM/I data

Science in China, Series D: Earth Sciences

Volumn 52, Issue 11, 2009, Pages 1732-1745

  Jin, Rui ^a   Li, Xin ^a  

^a Chinese Academy of Sciences   (China)

Author keywords

Active layer of frozen ground; Land data assimilation; Passive remote sensing; Soil moisture; Soil temperature

Indexed keywords

ACTIVE LAYER; FROZEN GROUND; LAND DATA ASSIMILATION; PASSIVE REMOTE SENSING; SOIL TEMPERATURE;

CONTROL THEORY; COVARIANCE MATRIX; DATA PROCESSING; ESTIMATION; FROZEN SOILS; GEOLOGIC MODELS; GROUNDWATER; MOISTURE DETERMINATION; PERMITTIVITY; REMOTE SENSING; SIMULATORS; SOIL MOISTURE; TEMPERATURE; WATER CONTENT;

SOIL SURVEYS;

ACTIVE LAYER; BRIGHTNESS TEMPERATURE; DATA ASSIMILATION; ENSEMBLE FORECASTING; ESTIMATION METHOD; FROZEN GROUND; HYDROTHERMAL SYSTEM; IN SITU MEASUREMENT; KALMAN FILTER; NUMERICAL MODEL; OBSERVATIONAL METHOD; OPTIMIZATION; REMOTE SENSING; SATELLITE DATA; SOIL MOISTURE; SOIL PROFILE; SOIL TEMPERATURE; SSM-I; WATER CONTENT;

EID: 71949121647     PISSN: 10069313     EISSN: 18622801     Source Type: Journal    
DOI: 10.1007/s11430-009-0174-0     Document Type: Article

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