张 磊,曹 宁,卫建国,段晓凤.宁南山区日光温室内气温变化规律与最低气温预测[J].干旱地区农业研究,2014,32(1):230~235
宁南山区日光温室内气温变化规律与最低气温预测
The temperature variation and minimum temperature forecast inside solar greenhouse in mountainous region of south Ningxia
  
DOI:10.7606/j.issn.1000-7601.2014.01.038
中文关键词:  宁南山区  日光温室  最低气温  预测
英文关键词:mountainous region of south Ningxia  solar greenhouse  minimum temperature  forecasting
基金项目:中国气象局关键技术集成与应用项目(GMAGJ2011M55)
作者单位
张 磊1,2,曹 宁1,2,卫建国1,2,段晓凤1,2 (1.宁夏气象科学研究所 宁夏 银川 750002 2.宁夏气象防灾减灾重点实验室 宁夏 银川 750002) 
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中文摘要:
      利用宁南山区日光温室内气温和当地气象台站的常规气象观测资料,开展了温室内气温的变化特征和温室内最低气温预测方法研究。结果表明,不同天气条件下的温室内气温日变化规律存在明显差异;温室内的日最高气温时间分 布较为集中,主要出现在每日的12∶00—14∶00,而日最低气温主要出现在每日的7∶00—9∶00;温室内、外的最低气温呈现明显的线性关系,据此建立了温室内最低气温的线性回归方程,历史回代检验表明方程的预报绝对误差均在4℃以内,在2℃以内的占总数的80%以上,精度较好。
英文摘要:
      Based on the temperature inside the solar greenhouse and common observation meteorological data of the local climate stations, has carried out the research on the temperature variation law and minimum temperature forecasting methods inside the solar greenhouse. The results showed that: the daily temperature variation law inside the solar greenhouse was obvious difference under different weather conditions. The daily maximum temperature in the solar greenhouse mainly occurred at 12∶00—14∶00, and the daily minimum temperature in the solar greenhouse mainly occurred at 7∶00—9∶00. The minimum temperature inside and outside solar greenhouse presented obvious linear relationsh ip. The linear regression equation of the minimum temperature inside the solar greenhouse was established according to that. Through the examination of history back substitution indicated the forecasting equation were good accuracy: whole orecasting absolute errors was less than 4℃, and accounted for more than 80% of the total, was less than 2℃.
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