Spatial interpolation of the LARS-WG stochastic weather generator in Great Britain
نویسندگان
چکیده
منابع مشابه
Applications of the MVWG Multivariable Stochastic Weather Generator
Weather generators (WG) became significant modules of crop models and decision support systems in the past decade. Using a large meteorological database from North America; two basic problems, related to the applicability of WGs in case of short or lacking data series, were investigated in the framework of the Multivariable weather generator (MVWG). First, the minimum data series length, requir...
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Stochastic weather generators are used in different studies which often require long series of daily weather data for risk assessment. They can produce synthetic daily time series of any length. Any generator should be tested to ensure that the synthetic data is proper for the purposes for which it is to be used. The main objective of this paper is to test a stochastic weather generator, LARS-W...
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Stochastic weather generators are widely used in different fields such as hydrological applications, environmental management and agricultural risk assessments. In this study, a popular stochastic weather generator, LARS-WG, was used in relation to reproduce observed statistical properties, including, means and variances of monthly precipitation, maximum temperature, minimum temperature and sol...
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Stochastic models of daily precipitation are useful both for characterizing different precipitation climates and for stochastic simulation of these climates in conjunction with agricultural, hydrological, or other response models. A simple stochastic precipitation model is used to downscale— i.e. disaggregate from area-average to individual station—precipitation statistics for 6 groups of 5 U.S...
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ژورنال
عنوان ژورنال: Climate Research
سال: 1999
ISSN: 0936-577X,1616-1572
DOI: 10.3354/cr011137