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Automated Present Weather observations: a new concept for analysing the effects of meteorological variables

Published online by Cambridge University Press:  30 September 2004

Hanna-Leena Merenti-Välimäki  and
Pertti Laininen
Hanna-Leena Merenti-Välimäki
Affiliation:
Espoo-Vantaa Institute of Technology, Vanha maantie 6, 02650 Espoo, Finland
Pertti Laininen
Affiliation:
Helsinki University of Technology, System Analysis Laboratory, P.O. Box 1100, FIN- 02015 Hut, Finland
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Abstract

The observation and analysis of the difficulties and differences, as well as possible errors, in the information output by automated stations is a complicated process. In observing the present weather the human observer is, for example, able to code many different codes at the same time. A period of mixed winter precipitation events is recognised as a significant challenge in assessing the reliability of automated Present Weather Sensors (PWS). The period of difficult winter conditions presented in this paper was unique in the whole two-year test period. Earlier studies have mostly been based only on liquid precipitation.

This paper presents two basic ideas: the first is to compare many simultaneous human-observed codes with one PWS code; the second is to use logistic regression to compare the observations. A wide variety of weather variables are used as candidates for ‘methodical error’.

Type
Research Article
Information
Meteorological Applications , Volume 11 , Issue 3 , September 2004 , pp. 213 - 219
Copyright
© 2004 Royal Meteorological Society

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