Predicting Monthly and Annual Air Temperature Characteristics in North Carolina
Predicting Monthly and Annual Air Temperature Characteristics in North Carolina
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DOI：
10.1175/1520-0450(1994)033
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发表时间：
1994-04
期刊：
影响因子：
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通讯作者：
Julxo C. Calvo;J. Gregory
中科院分区：
文献类型：
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作者：
Julxo C. Calvo;J. Gregory
摘要分析了北卡罗来纳州的月、年气温特征及其与海拔和纬度的关系。利用57个测站30年的温度记录，推导出预测月和年平均温度和平均温度范围的回归方程。还制定了预测最高和最低温度的程序。提出了由海拔和纬度引起的温度直减率的估计。回归诊断，以及验证分析对25个独立的站，表明，所提出的方程可靠地预测每月和每年的空气温度特性在北卡罗来纳州。
Abstract Monthly and annual air temperature characteristics and their relationship to elevation and latitude were examined for North Carolina. Regression equations to predict monthly and annual mean temperatures and mean temperature ranges were derived using 57 stations with a 30-yr record of temperatures. A procedure for predicting maximum and minimum temperatures was also developed. An estimate of the temperature lapse rates due to elevation and latitude was proposed. Regression diagnostics, as well as validation analysis against 25 independent stations, indicated that the proposed equations reliably predict monthly and annual air temperature characteristics in North Carolina.