Quantitative Precipitation Nowcasting: A Lagrangian Pixel-Based Approach

Atmospheric Research

Volumn 118, Issue , 2012, Pages 418-434

  Zahraei, Ali ^a   Hsu, Kuo lin ^a   Sorooshian, Soroosh ^a   Gourley, J J ^b   Lakshmanan, Valliappa ^c   Hong, Yang ^c   Bellerby, Tim ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NATIONAL SEVERE STORMS LABORATORY   (United States)

^c UNIVERSITY OF OKLAHOMA   (United States)

^d UNIVERSITY OF HULL   (United Kingdom)

Author keywords

Extrapolation; Nowcasting; Quantitative Precipitation Forecasting; Severe Rainfall Prediction; Tracking

Indexed keywords

FLOOD FORECASTING; HIGH RESOLUTION; LAGRANGIAN; LAGRANGIAN DYNAMIC MODEL; NOWCAST; NOWCASTING; OBJECT BASED; PRECIPITATION FORECASTING; QUANTITATIVE PRECIPITATION FORECASTING; RAINFALL DATA; RAINFALL FIELDS; RAINFALL PREDICTION; SEVERE STORMS; SPACE AND TIME;

ADVECTION; EXTRAPOLATION; FLOOD CONTROL; PIXELS; RADAR; RAIN; SURFACE DISCHARGES; THUNDERSTORMS; WEATHER FORECASTING;

CLUSTERING ALGORITHMS;

ALGORITHM; CLIMATE PREDICTION; IMAGE ANALYSIS; IMAGE RESOLUTION; LAGRANGIAN ANALYSIS; NOWCASTING; PRECIPITATION ASSESSMENT; QUANTITATIVE ANALYSIS; RAINFALL; REMOTE SENSING; SATELLITE DATA; STORM; TRACKING;

UNITED STATES;

EID: 84865977584     PISSN: 01698095     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosres.2012.07.001     Document Type: Article

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