Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: Identical twin experiments

Hydrology and Earth System Sciences

Volumn 15, Issue 8, 2011, Pages 2437-2457

  Nie, S ^a   Zhu, J ^b   Luo, Y ^a  

^a China Meteorological Administration   (China)

^b INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC FORCING; CONSTRAINED ESTIMATION; EMPIRICAL PARAMETERS; ENSEMBLE KALMAN FILTER; ESTIMATED PARAMETER; ESTIMATION METHODS; ESTIMATION PERFORMANCE; HYDRAULIC PARAMETERS; INITIAL CONDITIONS; INITIAL PARAMETER; LAND SURFACE MODELS; LAND SURFACE SCHEME; MEAN VALUES; MODEL PARAMETERS; MOISTURE STATE; MULTIPARAMETERS; NEAR-SURFACE; NON-CONSTRAINED; PARAMETERS ESTIMATED; PHYSICALLY BASED; SATURATED HYDRAULIC CONDUCTIVITY; SATURATED SOILS; SIMULTANEOUS ESTIMATION; SOIL TEXTURES; STATE PARAMETER ESTIMATION; TWIN EXPERIMENTS;

ESTIMATION; EXPERIMENTS; GEOLOGIC MODELS; HYDRAULIC CONDUCTIVITY; KALMAN FILTERS; MOISTURE DETERMINATION; SOIL MOISTURE; SURFACE MEASUREMENT;

PARAMETER ESTIMATION;

ATMOSPHERIC FORCING; DATA ASSIMILATION; HYDRAULIC CONDUCTIVITY; KALMAN FILTER; LAND SURFACE; PARAMETERIZATION; PERFORMANCE ASSESSMENT; SOIL MOISTURE; SOIL TEXTURE; UNCERTAINTY ANALYSIS;

EID: 79961238018     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-15-2437-2011     Document Type: Article

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