Application of observation operators for field scale soil moisture averages and variances in agricultural landscapes

Journal of Hydrology

Volumn 444-445, Issue , 2012, Pages 34-50

  Han, Eunjin ^a,c   Heathman, Gary C ^b   Merwade, Venkatesh ^a   Cosh, Michael H ^c  

^a PURDUE UNIVERSITY   (United States)

^b NATIONAL SOIL EROSION RESEARCH LABORATORY   (United States)

^c AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Cedar Creek; Cumulative distribution matching; Indiana; Soil moisture; Upscaling

Indexed keywords

AGRICULTURAL AREAS; AGRICULTURAL LANDSCAPES; CEDAR CREEKS; CUMULATIVE DISTRIBUTION; CUMULATIVE DISTRIBUTION FUNCTION MATCHING; DIFFERENCE METHOD; DIFFERENT SCALE; DOMINANT FACTOR; FIELD SCALE; FIELD-SCALE SOIL MOISTURE; GRID SIZE; HYDROLOGIC MODELS; IN-SITU; INDIANA; MOISTURE DATA; OBSERVATION OPERATOR; POINT MEASUREMENT; RAINFALL CHARACTERISTICS; REMOTE SENSING DATA; REMOTELY SENSED SOIL MOISTURE; SINGLE-POINT MEASUREMENT; SPATIAL VARIABILITY; STABLE POINTS; STANDARD DEVIATION; UPSCALING; UPSCALING METHODS;

AGRICULTURE; DATA PROCESSING; MATHEMATICAL MODELS; REMOTE SENSING;

SOIL MOISTURE;

AGRICULTURAL LAND; DATA ASSIMILATION; HYDROLOGICAL MODELING; IN SITU MEASUREMENT; RAINFALL; REMOTE SENSING; SOIL MOISTURE; SPATIOTEMPORAL ANALYSIS; UPSCALING; VARIANCE ANALYSIS;

CEDAR BASIN; INDIANA; UNITED STATES;

EID: 84861224842     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2012.03.035     Document Type: Article

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