Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information

Journal of Hydrology

Volumn 508, Issue , 2014, Pages 374-384

  Chang, Fi John ^a   Chiang, Yen Ming ^b   Tsai, Meng Jung ^a   Shieh, Ming Chang ^c   Hsu, Kuo Lin ^d   Sorooshian, Soroosh ^d  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b ZHEJIANG UNIVERSITY   (China)

^c MINISTRY OF ECONOMIC AFFAIRS   (Taiwan)

^d University of California at Irvine   (United States)

Author keywords

Artificial Neural Network; Data assimilation; Data merging; Radar; Rainfall forecasting; Satellite

Indexed keywords

DATA PROCESSING; GAGES; HURRICANES; MERGING; NEURAL NETWORKS; RADAR; RAIN; SATELLITES; SENSORS; WATERSHEDS; WEATHER FORECASTING;

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; DATA ASSIMILATION; DATA MERGING; PRECIPITATION ESTIMATION FROM REMOTELY SENSED INFORMATION; QUANTITATIVE PRECIPITATION ESTIMATION; RAINFALL FORECASTING; SATELLITE PRECIPITATION PRODUCTS; SHORT-TERM RAINFALL FORECAST;

RADAR MEASUREMENT;

CORRELATION; FLOOD FORECASTING; FUZZY MATHEMATICS; NONLINEARITY; PRECIPITATION (CLIMATOLOGY); QUANTITATIVE ANALYSIS; RAINFALL; SENSOR; TEMPORAL ANALYSIS; WATERSHED; WEATHER FORECASTING;

EID: 84889679815     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.11.011     Document Type: Article

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