Open AccessStatistical methods for the prediction of night‐time cooling and minimum temperature
Author(s) -
Emmanouil G.,
Galanis G.,
Kallos G.
Publication year - 2006
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1017/s1350482706002076
Subject(s) - exponential function , frost (temperature) , meteorology , environmental science , kalman filter , polynomial , air temperature , exponential type , computer science , thermal , statistics , mathematics , physics , mathematical analysis
Four different models for the prediction of frost events caused by air cooling due to thermal radiation are presented in this paper. Three of them are based on polynomial functions that simulate different types of temperature variations in comparison with an exponential one. The fourth, a post‐processing method based on Kalman filters, is proposed for those cases where a systematic type of bias has emerged. Copyright © 2006 Royal Meteorological Society.