Estimating turbulent fluxes through assimilation of geostationary operational environmental satellites data using ensemble Kalman filter

Journal of Geophysical Research Atmospheres

Volumn 116, Issue 9, 2011, Pages

  Xu, Tongren ^a,b   Liang, Shunlin ^b   Liu, Shaomin ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; ATMOSPHERICS; ESTIMATION; GEOLOGIC MODELS; GEOSTATIONARY SATELLITES; KALMAN FILTERS; MOISTURE DETERMINATION; OPTIMIZATION; RADIOMETERS; SATELLITE IMAGERY; SOIL MOISTURE; UNCERTAINTY ANALYSIS;

COVER TYPES; DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; FOREST LAND; GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITES; LAND MODEL; LAND SURFACE TEMPERATURE; MODEL PARAMETERS; MODEL UNCERTAINTIES; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; ROOT MEAN SQUARE ERRORS; SEASONAL VARIATION; SIMULTANEOUS OPTIMIZATION; TEMPORAL RESOLUTION; TIME-PERIODS; TURBULENT FLUX; VEGETATION PARAMETERS;

DATA PROCESSING;

DATA ASSIMILATION; ENSEMBLE FORECASTING; GEOSTATIONARY SATELLITE; GRASSLAND; KALMAN FILTER; RESOLUTION; SEASONAL VARIATION; SOIL MOISTURE; TURBULENT FLOW;

UNITED STATES;

EID: 79957473830     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2010JD015150     Document Type: Article

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