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| Adaptability of climate generator of LARS-WG on the Loess Plateau |
| Wang Youqi,Fan Jun,Shao Ming'an |
| Northwest A&F University,State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau,712100,Yangling,Shaanxi,China |
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Abstract Weather data generation is often used as input to computer programs such as hydrological and crop simulation models.Weather generators are also used to interpolate observed data to produce synthetic weather data at new sites,and they are employed in the construction of climate change scenarios.LARS-WG is one stochastic weather generator to produce the daily future weather scenarios for hydrological model and crop simulation models.It was well tested in many locations across the United Kingdom.This study was conducted to calibrate LARS-WG with 50 year daily precipitation,temperature,and solar radiation during data of six meteorological sites on the Loess Plateau of China.Meantime,we stimulated future climate conditions on the Loess Plateau.The results showed that annual and monthly distribution of daily maximum and minimum temperature and solar radiation can be simulated accurately.However,annual precipitation and its monthly distribution was little greater than observed value.
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Received: 18 December 2006
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