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当前位置: 首页 > 文章 > WXGEN天气发生器在长江上游地区的适用性评价 水土保持通报 2014,34 (1) 284-289
Position: Home > Articles > Applicability Assessment of WXGEN Weather Generator Used in Upper Yangtze River Bulletin of Soil and Water Conservation 2014,34 (1) 284-289

WXGEN天气发生器在长江上游地区的适用性评价

作  者：
胡云华;贺秀斌;唐强
单  位：
中国科学院
关键词：
SWAT;天气发生器;WXGEN;长江上游
摘  要：
WXGEN天气发生器是SWAT分布式流域水文模型的组成模块之一,用于模型预测预报以及天气数据缺测时生成模拟天气数据。以长江上游5个典型国家气象站40a的日观测数据为基础,分析评价了WXGEN天气发生器在该地区模拟的日和月气象参数的精度。结果表明,WXGEN天气发生器在长江上游5个典型气象站模拟精度基本一致;模拟的日天气数据误差较大;模拟的月天气数据效果好于日天气数据,WXGEN天气发生器能较好地拟合月天气数据的分布,更适合于长江上游地区月气象参数的模拟,但WXGEN模拟的月天气数据误差具有较强的季节规律性,月降雨量和气温的模拟值较实际值偏低,而太阳辐射量模拟值却较实际值偏高。
译  名：
Applicability Assessment of WXGEN Weather Generator Used in Upper Yangtze River
作  者：
HU Yun-hua;HE Xiu-bin;TANG Qiang;Institute of Mountain Hazards & Environment,Chinese Academy of Sciences;University of the Chinese Academy of Sciences;
关键词：
SWAT;;weather generator;;WXGEN;;upper Yangtze River
摘  要：
The WXGEN weather generator is a component of the soil and water assessment tool(SWAT), which is applied as a hydrological model at catchment scale and applied to forecast weather condition and fill the missing weather data.This paper analyzes and assesses the precision of the daily and monthly weather data based on the comparison between the data simulated by the WXGEN and the daily observed data according to 5national meteorological stations in the upper Yangtze River.Results indicate that the WXGEN generated data are generally in consistence with those from the five stations.The errors of daily data simulated by WXGEN are significant,while the monthly data are more accurate than those of daily data.In conclusion, WXGEN has better simulation of the distribution of monthly weather data and hence it is more suitable for the simulation of monthly weather data in the Upper Yangtze River.Yet the errors of the simulated monthly weather data demonstrate significant seasonal changes.The simulated monthly precipitation and temperature are lower than the observed values,while the average monthly solar radiation is above the observed value.

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