Abstract
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-WG, at 65 sites in Iran chosen to represent different climates. Statistical tests were carried out to compare characteristics of the observed and synthetic weather data such as, the lengths of wet and dry series, the distribution of precipitation and the lengths of frost periods. The LARS-WG generator uses complex semi-empirical distributions for weather variables and tended to match the observed data well, especially in terms of the daily distributions and the mean monthly values, although there are certain characteristics of the data that the generator could not reproduce accurately, for example the monthly standard deviations. LARS-WG model showed different performance in different climates and stations. Therefore, evaluation is strongly recommended if it is going to be used in different climates and stations.Keywords: LARS-WG, weather generator, evaluation, different climates, Iran.
Highlights
Behnam Ababaei (Corresponding author) PhD Student, Irrigation and Drainage Engineering Member of Young Researchers Club of Islamic Azad University
The main objective of this study is to evaluate the performance of a popular stochastic weather generator model LARS-WG in 65 stations of Iran belonging to diverse climates
A modified version of this weather generator, called LARS-WG (Long Ashton Research Station Weather Generator - the location at which it was developed in its current form), was used in the construction of the climate change scenarios used in two major European Union-funded research projects examining the impacts of climate change on agricultural potential in Europe, i.e., CLAIRE (Harrison et al, 1995) and CLIVARA (Downing et al, 2000)
Summary
The main objective of this paper is to test a stochastic weather generator, LARS-WG, at 65 sites in Iran chosen to represent different climates. The main objective of this study is to evaluate the performance of a popular stochastic weather generator model LARS-WG in 65 stations of Iran belonging to diverse climates
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