Short-term quantitative precipitation forecasting using an object-based approach

Journal of Hydrology

Volumn 483, Issue , 2013, Pages 1-15

  Zahraei, Ali ^a,e   Hsu, Kuo lin ^a,f   Sorooshian, Soroosh ^a   Gourley, Jonathan J ^b   Hong, Yang ^c   Behrangi, Ali ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NATIONAL SEVERE STORMS LABORATORY   (United States)

^c UNIVERSITY OF OKLAHOMA   (United States)

^d CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^e Gateway Inc   (United States)

^f NONE   (United States)

Author keywords

Nowcasting; Short term quantitative precipitation forecasting; Storm tracking

Indexed keywords

CLASSIFICATION (OF INFORMATION); RAIN; SEARCH ENGINES; STORMS;

CLOUD CLASSIFICATION SYSTEMS; FLASH-FLOOD-WARNING; NOWCASTING; OBJECT-BASED METHODS; PRECIPITATION ESTIMATION FROM REMOTELY SENSED INFORMATION; PRECIPITATION RETRIEVALS; PROBABILITY OF DETECTION; QUANTITATIVE PRECIPITATION FORECASTING;

WEATHER FORECASTING;

ADVECTION; ALGORITHM; ARTIFICIAL DIET; ARTIFICIAL NEURAL NETWORK; FLASH FLOOD; FLOOD FORECASTING; INTEGRATED APPROACH; NAVIGATION; NOWCASTING; PROBABILITY; RAINFALL; REMOTE SENSING; THUNDERSTORM; TRACKING;

UNITED STATES;

EID: 84874317644     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2012.09.052     Document Type: Article

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