Applicability Assessment of WXGEN Weather Generator Used in Upper Yangtze River

HU Yun-hua; HE Xiu-bin; TANG Qiang

doi:10.13961/j.cnki.stbctb.2014.01.014

您当前的位置：

首页 >

文章列表页 >

Applicability Assessment of WXGEN Weather Generator Used in Upper Yangtze River

- Applicability Assessment of WXGEN Weather Generator Used in Upper Yangtze River
- Bulletin of Soiland Water Conservation Vol. 33, Issue 1, Pages: 284-289(2014)
- 作者机构：
  
  1. 中国科学院水利部成都山地灾害与环境研究所,四川,成都,610041
  2. 中国科学院大学,北京,100049
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2014.01.014
  CLC：
- Published：2014
- 稿件说明：
移动端阅览
HU Yun-hua, HE Xiu-bin, TANG Qiang. Applicability Assessment of WXGEN Weather Generator Used in Upper Yangtze River[J]. Bulletin of Soiland Water Conservation, 2014, 33(1): 284-289.
DOI：

HU Yun-hua, HE Xiu-bin, TANG Qiang. Applicability Assessment of WXGEN Weather Generator Used in Upper Yangtze River[J]. Bulletin of Soiland Water Conservation, 2014, 33(1): 284-289. DOI： 10.13961/j.cnki.stbctb.2014.01.014.

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40 a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。

Abstract

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 5 national 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.

关键词

Keywords

references

Neitsch S L, Arnold J G, Kiniry J R, et al. Soil and Water Assessment Tool Theoretical Documentation Version 2009[M]. Texas Water Resources Institute Technical Report. 2011:65-87.

Wilks D S, Wilby R L.The weather generation game:A review of stochastic weather models[J]. Progress in Physical Geography, 1999,23(3):329-357.

Semenov M A, Brooks R J, Barrow E M, et al. Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates[J]. Climate Research, 1998,10(2):95-107.

何丙辉,缪驰远,陈晓燕,等.CLIGEN气候生成器模型在紫色土地区的适应性研究[J].中国水土保持科学,2007,21(3):183-187.

Chen Jie, Zhang Xunchang, Liu Wenzhao, et al. Assessment and improvement of CLIGEN non-precipitation parameters for the Loess Plateau of China[J]. Transaction of the ASABE, 2008,51(3):901-913.

张光辉.CLIGEN天气发生器在黄河流域的适应性研究[J].水土保持学报,2004,18(1):175-178.

Fan Jenchen, Yang Chihhsiang, Liu Chehsin, et al. Assessment and validation of CLIGEN-simulated rainfall data for Northern Taiwan[J]. Paddy and Water Environment, 2013,11(4):161-173.

Arnold J G, Srinivasan R, Muttiah R S, et al. Large area hydrologic modeling and assessment(Part 1):Model development[J]. Journal of the American Water Resources Association, 1998,34(1):73-89.

Williams J R, Jones C A, Kiniry J R, et al. The EPIC crop growth-model[J]. Transactions of the ASAE, 1989,32(2):497-511.

Richardson C W. Stochastic simulation of daily precipitation, temperature, and solar radiation[J]. Water Resources Research, 1981,17(1):182-190.

Hayhoe H N. Relationship between weather variables in observed and WXGEN generated data series[J]. Agricultural and Forest Meteorology, 1998,90(3):203-214.

Trevor W R W, John F G. An assessment of the weather generator (WXGEN) used in the erosion/productivity impact calculator (EPIC)[J]. Agricultural and Forest Meteorology, 1995,73(12):115-133.

Hayhoe H N, Stewart D W. Evaluation of CLIGEN and WXGEN Weather Data Generators Under Canadian Conditions[J]. Canadian Water Resources Journal, 1996,21(1):53-67.

张东,张万昌,朱利,等.SWAT分布式流域水文物理模型的改进及应用研究[J].地理科学,2005,25(4):434-440.

王中根,刘昌明,黄友波.SWAT模型的原理、结构及应用研究[J].地理科学进展,2003,22(1):79-86.

范丽丽,沈珍瑶,刘瑞民,等.基于SWAT模型的大宁河流域非点源污染空间特性研究[J].水土保持通报,2008,28(4):133-137.

李军,邵明安,张兴昌.黄土高原地区EPIC模型数据库组建[J].西北农林科技大学学报:自然科学版,2004,32(8):21-26.

钟壬琳,张平仓.红壤和紫色土抗侵蚀性指标的计算方法研究[J].水土保持通报,2011,31(6):95-98.

王志强,方伟华,何飞,等.中国北方气候变化对小麦产量的影响:基于EPIC模型的模拟研究[J].自然灾害学报.2008,17(1):109-114.

Views

1542

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

SWAT-based Rainfall-runoff Relationship and Water Balance Analysis in Xitiaoxi Catchment

Simulating Responses of Runoff and Sediment Yield to Land-cover Changes in Sub-basins

Sensitive Analysis of Snowmelt Runoff on North Slope of Tianshan Mountains -Taking Juntanghu Watershed as an Example

Hydrological Responses to Various Scenarios of Land Use Change in Hongru River Watershed

Effectiveness evaluation of ecological product value realization in northwest China——An analysis of 29 typical cases

Related Author

ZHANG Qi

XUE Li-juan

LI Li-jiao

ZHAO Jiao-na

Li Bo

YU Miao-zi

XU Xue-xuan

LI Xing

Related Institution

Graduate School of the Chinese Academy of Sciences

State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography & Limnology, Chinese Academy of Sciences

Hainan Research Academy of Environmental Sciences

Institute of Soil and Water Conservation,Northwest A & F University,Yangling

College of Resources and Environment,Northwest A & F University,Yangling

⁰