Accuracy evaluation of weather data generation and disaggregation methods at finer timescales

Advances in Water Resources

Volumn 30, Issue 5, 2007, Pages 1286-1300

  Debele, Bekele ^a   Srinivasan, R ^b   Yves Parlange, J ^a  

^a Department of Biological and Environmental Engineering   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Disaggregation; Hyetos; MUDRain; Multivariate; Rainfall; Univariate

Indexed keywords

ATMOSPHERIC HUMIDITY; ATMOSPHERIC PRESSURE; ATMOSPHERIC TEMPERATURE; CLIMATOLOGY; RAIN; STATISTICAL METHODS; STOCHASTIC MODELS; THERMAL EFFECTS; VAPOR PRESSURE;

DISAGGREGATION METHOD; WEATHER DATA GENERATION;

WATERSHEDS;

ATMOSPHERIC HUMIDITY; ATMOSPHERIC PRESSURE; ATMOSPHERIC TEMPERATURE; CLIMATOLOGY; RAIN; STATISTICAL METHODS; STOCHASTIC MODELS; THERMAL EFFECTS; VAPOR PRESSURE; WATERSHEDS;

ACCURACY ASSESSMENT; AIR TEMPERATURE; MULTIVARIATE ANALYSIS; NUMERICAL METHOD; PRECIPITATION INTENSITY; RELATIVE HUMIDITY; STOCHASTICITY; TIMESCALE; VAPOR PRESSURE; WEATHER FORECASTING; WIND VELOCITY;

CEDAR CREEK RESERVOIR; NORTH AMERICA; TEXAS; UNITED STATES;

EID: 33847312259     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2006.11.009     Document Type: Article

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