Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation

Advances in Water Resources

Volumn 86, Issue , 2015, Pages 425-438

  Chen, Weijing ^a,b   Huang, Chunlin ^b   Shen, Huanfeng ^a   Li, Xin ^b,c  

^a WUHAN UNIVERSITY   (China)

^b Chinese Academy of Sciences   (China)

^c CAS CENTER FOR EXCELLENCE IN TIBETAN PLATEAU EARTH SCIENCES   (China)

Author keywords

Brightness temperature; Common Land Model; Data assimilation; Soil moisture; State parameter estimation

Indexed keywords

ALGORITHMS; KALMAN FILTERS; LUMINANCE; MOISTURE; SLIP FORMING; SOIL MOISTURE; SOIL SURVEYS; SOILS; TEMPERATURE; UNCERTAINTY ANALYSIS;

BRIGHTNESS TEMPERATURES; DATA ASSIMILATION; LAND MODEL; RADIATION TRANSFER MODEL; SIMULTANEOUS OPTIMIZATION AND DATA ASSIMILATIONS; SOIL MOISTURE ESTIMATION; STATE AND PARAMETER ESTIMATIONS; STATE PARAMETER ESTIMATION;

PARAMETER ESTIMATION;

BRIGHTNESS TEMPERATURE; COMMON LAND; COMPARATIVE STUDY; DATA ASSIMILATION; ENSEMBLE FORECASTING; ESTIMATION METHOD; KALMAN FILTER; NUMERICAL MODEL; SOIL MOISTURE;

MONGOLIAN PLATEAU;

EID: 84949634303     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2015.08.003     Document Type: Article

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