Predicting realizations of daily weather data for climate forecasts using the non-parametric nearest-neighbour re-sampling technique

International Journal of Climatology

Volumn 28, Issue 10, 2008, Pages 1357-1368

  Bannayan, Mohammad ^a   Hoogenboom, Gerrit ^a  

^a University of Georgia   (United States)

Author keywords

Agriculture; Agrometeorology; Analogue weather; Climate; Hydrology; Re sampling methods; Resource management; Weather simulation

Indexed keywords

DISTRIBUTION FUNCTIONS; FEATURE EXTRACTION; INFORMATION MANAGEMENT; MANAGEMENT; PATTERN RECOGNITION; RESOURCE ALLOCATION; STATISTICAL METHODS; STATISTICAL TESTS; TARGETS; VECTORS;

AGRICULTURAL PRODUCTIONS; AGRICULTURE; AGROMETEOROLOGY; ANALOGUE WEATHER; CLIMATE; CLIMATE FORECASTING; CLIMATIC CONDITIONS; CUMULATIVE DISTRIBUTION FUNCTIONS; DRIVING VARIABLES; GEORGIA; HISTORICAL DATA; HYDROLOGY; K-NEAREST NEIGHBOURS; KOLMOGOROV-SMIRNOV TEST; MAXIMUM TEMPERATURE; MEAN SQUARE DIFFERENCE; NON-PARAMETRIC; RE-SAMPLING; RE-SAMPLING METHODS; RELIABLE METHOD; RESOURCE MANAGEMENT; SEQUENCE PREDICTION; SIMILAR PATTERN; STATISTICAL ANALYSIS; STUDY SITES; WEATHER DATA; WEATHER SIMULATION;

FORECASTING;

AGROMETEOROLOGY; AIR TEMPERATURE; CLIMATE CONDITIONS; CLIMATE PREDICTION; DATA PROCESSING; PRECIPITATION ASSESSMENT; SAMPLING; STATISTICAL ANALYSIS; VECTOR; WEATHER FORECASTING;

EID: 49549109557     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.1637     Document Type: Article

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