A neural networks-based fusion technique to estimate half-hourly rainfall estimates at 0.1° resolution from satellite passive microwave and infrared data

Journal of Applied Meteorology

Volumn 43, Issue 4, 2004, Pages 576-594

  Tapiador, Francisco J ^a   Kidd, Chris ^a   Levizzani, Vincenzo ^b   Marzano, Frank S ^c  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b CNR   (Italy)

^c UNIVERSITY OF L'AQUILA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ENTROPY; MICROWAVES; NEURAL NETWORKS; OPTICAL RESOLVING POWER; PARAMETER ESTIMATION; PRECIPITATION (CHEMICAL); RAIN GAGES; RESONANCE; SATELLITES;

ADAPTATIVE RESONANCE THEORY; HISTOGRAM; PASSIVE MICROWAVE (PMW); PRECIPITATION INDEX;

RAIN;

ARTIFICIAL NEURAL NETWORK; ESTIMATION METHOD; MICROWAVE RADIATION; PRECIPITATION (CLIMATOLOGY); RAINGAUGE;

EID: 2342583344     PISSN: 08948763     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0450(2004)043<0576:ANNFTT>2.0.CO;2     Document Type: Article

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