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- W2161902945 abstract "Generated weather that represents alternative realizations of a particular historical record is often needed forcomputer simulation of agricultural or agronomic impacts. The stochastic component of generated weather is based onrandom numbers. This study shows that relatively short sequences of uniform random numbers, as used to generate dailyprecipitation, may not display sufficient uniformity to reproduce the distribution of the target historical precipitation recordor of a seasonal precipitation forecast. The magnitude of the discrepancy becomes an issue in applications that requireaccurate replication of the historical record or forecast. A procedure is proposed to test sequences of uniform random numbersbefore their use and retain only those sequences that display a high degree of uniformity as required by the weather generationmodel. Generated precipitation with and without testing for uniformity of random numbers shows that the discrepancybetween the two can be important particularly for simulation duration less than 50 years, as are often involved in practicalwater resources and agricultural applications. The use of tested random numbers leads to transition probabilities and aprecipitation distribution that are generally closer in agreement with those of the historical record. The effectiveness of themethod is illustrated by comparing generated daily precipitation based on tested and nontested random number forthe Kingfisher, Oklahoma, historical precipitation record. The increased representativeness of the generated precipitationusing tested random numbers allows for shorter simulation duration of agricultural models and greater capability tosimulate subtle changes in precipitation such as those associated with seasonal precipitation forecasts." @default.
- W2161902945 created "2016-06-24" @default.
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- W2161902945 date "2003-01-01" @default.
- W2161902945 modified "2023-09-24" @default.
- W2161902945 title "GENERATING REPRESENTATIVE SEQUENCES OF DAILY PRECIPITATION FOR AGRICULTURAL SIMULATIONS" @default.
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- W2161902945 doi "https://doi.org/10.13031/2013.14924" @default.
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