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首页> 外文期刊>Energy Conversion & Management >Estimation of daily solar radiation from routinely observed meteorological data in Chongqing, China
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Estimation of daily solar radiation from routinely observed meteorological data in Chongqing, China

机译:根据重庆市常规观测的气象数据估算日太阳辐射

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摘要

Solar radiation is a very important and major variable in crop simulation models. However, it is measured at a very limited number of meteorological stations worldwide. Models were developed to estimate daily solar radiation in Chongqing, one of the most important agricultural areas in China. Several routinely observed meteorological variables including daily maximum and minimum temperatures, daily mean dew point temperature, fog and rainfall had been obtained, investigated and analyzed from 1986 to 2000 for Chongqing. The monthly mean daily solar radiation at this location ranged from a maximum of 15.082 MJ m~(-2) day~(-1) in August and a minimum of 3.042 MJ m~(-2) day~(-1) in December. A newly developed model that included all selected variables proved the best method with a RMSE value of 2.522 MJ m~(-2) day~(-1). The best performed models for different seasons were further evaluated according to divide-and-conquer principle. The model using all selected variables provided the best estimates of daily solar radiation in winter and autumn with RMSE values of 1.491 and 2.037 MJ m~(-2) day~(-1), respectively. The method involving temperatures and rainfall information could be used to estimate daily solar radiation in summer with a RMSE value of 3.163 MJ m~(-2) day~(-1). The model using temperature, rainfall and dew point data performed better than other models in spring with a RMSE value of 2.910 MJ m~(-2) day~(-1).
机译:太阳辐射是作物模拟模型中一个非常重要且重要的变量。但是,在全世界数量非常有限的气象站中进行了测量。开发了模型来估算重庆(中国最重要的农业地区之一)的日太阳辐射量。 1986年至2000年,重庆获得了一些日常观测的气象变量,包括每日最高和最低温度,每日平均露点温度,雾和降雨。该位置的月平均日辐射量在8月最高15.082 MJ m〜(-2)day〜(-1)之间,12月最低3.042 MJ m〜(-2)day〜(-1)之间。 。包含所有选定变量的新开发模型证明了最佳方法,RMSE值为2.522 MJ m〜(-2)天〜(-1)。根据分而治之原则,进一步评估了不同季节性能最佳的模型。利用所有选定变量的模型提供了冬季和秋季每日太阳辐射的最佳估计,RMSE值分别为1.491和2.037 MJ m〜(-2)day〜(-1)。涉及温度和降雨信息的方法可用于估计夏季的日太阳辐射,其RMSE值为3.163 MJ m〜(-2)day〜(-1)。使用温度,降雨量和露点数据的模型在春季表现优于其他模型,RMSE值为2.910 MJ m〜(-2)天〜(-1)。

著录项

  • 来源
    《Energy Conversion & Management》 |2010年第12期|P.2575-2579|共5页
  • 作者单位

    College of Resources and Environment, Southwest University, Chongqing 400716, China Chongqing Key Laboratory of Digital Agriculture, Chongqing 400716, China;

    rnCollege of Resources and Environment, Southwest University, Chongqing 400716, China Chongqing Key Laboratory of Digital Agriculture, Chongqing 400716, China;

    rnCollege of Resources and Environment, Southwest University, Chongqing 400716, China Chongqing Key Laboratory of Digital Agriculture, Chongqing 400716, China;

    rnChongqing Key Laboratory of Digital Agriculture, Chongqing 400716, China College of Computer and Information Science, Southwest University, Chongqing 400716, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    solar radiation; meteorological data; regression model; chongqing;

    机译:太阳辐射;气象数据;回归模型重庆市;

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