Predicting near-surface atmospheric variables from Special Sensor Microwave/Imager using neural networks with a first-guess approach

Journal of Geophysical Research Atmospheres

Volumn 115, Issue 19, 2010, Pages

  Roberts, J Brent ^a   Clayson, Carol Anne ^a   Robertson, Franklin R ^b   Jackson, Darren L ^c  

^a FLORIDA STATE UNIVERSITY   (United States)

^b NASA MARSHALL SPACE FLIGHT CENTER   (United States)

^c Cooperative Institute for Research in Environmental Sciences ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC HUMIDITY; ATMOSPHERIC TEMPERATURE; ATMOSPHERIC TURBULENCE; GRADIENT METHODS; SURFACE PROPERTIES; WIND EFFECTS;

AIR TEMPERATURE; ATMOSPHERIC VARIABLES; BULK AERODYNAMIC; CLOUD LIQUID WATERS; ERROR CHARACTERISTICS; EXCHANGE OF ENERGY; GLOBAL OCEAN; NEAR-SURFACE; NEAR-SURFACE WINDS; NEURAL NETWORK TECHNIQUES; OR FLUXES; RETRIEVAL ACCURACY; RETRIEVAL METHODS; SATELLITE RETRIEVAL; SEA SURFACE TEMPERATURES; SPECIAL SENSOR MICROWAVE/IMAGER; SPECIFIC HUMIDITY; TURBULENT HEAT FLUXES;

NEURAL NETWORKS;

AERODYNAMICS; AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK; ATMOSPHERE-OCEAN SYSTEM; HEAT FLUX; HUMIDITY; MICROWAVE IMAGERY; SATELLITE IMAGERY; SEA SURFACE TEMPERATURE; WIND VELOCITY;

EID: 77958158192     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009JD013099     Document Type: Article

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