Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-24T07:41:48.503Z Has data issue: false hasContentIssue false

XRWIS: the use of geomatics to predict winter road surface temperatures in Poland

Published online by Cambridge University Press:  12 April 2005

John E. Thornes
Affiliation:
School of Geography, Earth and Environmental Sciences, University of Birmingham, UK Email: [email protected]
Gina Cavan
Affiliation:
School of Geography, Earth and Environmental Sciences, University of Birmingham, UK Email: [email protected]
Lee Chapman
Affiliation:
School of Geography, Earth and Environmental Sciences, University of Birmingham, UK Email: [email protected]
Get access

Abstract

A new method (XRWIS) to predict the minimum road surface temperature for the winter maintenance of roads, using geomatics, has been tested in Poland. A geographical database was constructed for a 200 km test route from Krakow to the Slovakian border. A GPS survey to measure sky-view factor was carried out as part of the COST 719 project. A computer energy balance model ‘IceMiser’ was run retrospectively to predict road surface temperature every 20 minutes for every 20 m along the road using hourly weather data recorded at two adjacent climate stations: at low elevation in Krakow and at high elevation in Zakopane, in March 2003. A GIS was used to visualise the predicted road surface temperatures. The IceMiser model was verified by comparing the predicted road surface temperatures with measured road surface temperatures at a number of road weather outstations along the route. The results for four road weather outstations are discussed. The best results are for Libertow (264 m) and Myslenice (304 m) close to Krakow, whereas the results for Skawa (518 m) and Piatkowa Gora (649 m) at high elevation are not as good, probably due to their distance from the Zakopane climate station.

Type
Research Article
Copyright
© 2005 Royal Meteorological Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)