Random, but uniform please: Requirements for synthetic precipitation generation for computer simulations in agriculture

Applied Engineering in Agriculture

Volumn 28, Issue 2, 2012, Pages 207-217

  Garbrecht, Jurgen ^a  

^a USDA ARS GRAZINGLANDS RESEARCH LABORATORY   (United States)

Author keywords

Hydrologic simulation; Precipitation generation; Random numbers; Weather generator

Indexed keywords

ALTERNATE SOURCE; ARID AND SEMI-ARID REGIONS; DISTRIBUTION STATISTICS; HYDROLOGIC PROCESS; HYDROLOGIC SIMULATIONS; LONG TERM SIMULATION; MODEL SIMULATION; PRECIPITATION DATA; PRECIPITATION MODEL; RAINFALL EVENT; RANDOM NUMBERS; RESAMPLING; SMALL SAMPLES; STANDARD DEVIATION; STOCHASTIC NATURE; THEORETICAL VALUES; UNIFORM DISTRIBUTION; WEATHER GENERATOR; WEATHER STATIONS; WESTERN UNITED STATES;

ARID REGIONS; CLIMATE MODELS; COMPUTER SIMULATION; PRECIPITATION (METEOROLOGY); WEATHER INFORMATION SERVICES;

RANDOM NUMBER GENERATION;

EID: 84860331472     PISSN: 08838542     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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