Scientia Agricultura Sinica ›› 2013, Vol. 46 ›› Issue (16): 3334-3343.doi: 10.3864/j.issn.0578-1752.2013.16.004

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

A Method for Correcting the Meteorological Data from Regional Climate Model and Its Application in Crop Simulation

 LU Zun-Fu , LIU  Xiao-Jun, TANG  Liang, LIU  Lei-Lei, CAO  Wei-Xing, ZHU  Yan   

  1. College of Agriculture, Nanjing Agricultural University/National Engineering and Technology Center for Information Agriculture / Jiangsu Key Laboratory for Information Agriculture, Nanjing 210095
  • Received:2012-11-20 Online:2013-08-15 Published:2013-05-03

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Abstract: 【Objective】A method for correcting Regional Climate models (RCMs) output was developed in this research, which will lay a foundation for crop model prediction under future climate scenarios. 【Method】 The daily rainfall intensity, rainfall frequency, solar radiation, maximal and minimal temperatures output data of RegCM3 from 1994 to 2010 were corrected based on the historical daily weather records from 1960 to 1993 in Xuzhou, Huai’an, Zhengzhou, Weifang and Shijiazhuang. 【Result】 Compared with the raw meteorological data from RegCM3, the corrected monthly mean meteorological variables, the corrected monthly meteorological variables, and the probability distribution of daily rainfall, temperature and solar radiation from 1994 to 2010 agreed better with the observed values, especially for the extreme high temperature and high rainfall frequency. In addition, dry spell length after correction in five eco-sites was consistent with the observed values. The determination coefficient and normalized root mean square error (NRMSE) between observed and simulated yields from WheatGrow model with daily corrected RegCM3 at above five eco-sites reached 0.72 and 10.5%, which were 0.35 higher and 8.2% lower than those with daily raw RegCM3 outputs, respectively.【Conclusion】Therefore, the correction method in this research could be further used to correct the future meteorological data which generated by RegCM3, and the corrected meteorological data could be taken as the input data of crop model to improve the prediction accuracy of crop model.

Key words: RegCM3 , correction , meteorological data , crop model

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