Predicting Monthly and Annual Air Temperature Characteristics in North Carolina

Julxo C. Calvo Instituto Technologico de Costa Rica, Departmento de Ing. Forestal, Cartago, Costa Rica

Search for other papers by Julxo C. Calvo in
Current site
Google Scholar
PubMed
Close
and
James D. Gregory North Carolina Stage University, Department of Forestry, Raleigh, North Carolina

Search for other papers by James D. Gregory in
Current site
Google Scholar
PubMed
Close
Restricted access

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.

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.

Save