Analysis of station locations in a road weather information system

Eriksson, Marie; Norrman, Jonas

doi:10.1017/s1350482701004054

Cited by 27 publications

(25 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The formation of cold pools depends on the terrain and land use and the problem has been approached using a number of different forecasting strategies (e.g. Gustavsson et al, 1998;Blennow and Persson, 1998;Eriksson and Norrman, 2001;Jarvis and Stuart, 2001;Chung et al, 2006;Lundquist et al, 2008). Commonly cited causes are (1) topographic sheltering, reducing turbulent mixing-down of warmer air to the surface and (2) drainage flows which katabatically feed cold air from elevated surface locations to lower lying areas.…”

Section: Discussionmentioning

confidence: 99%

A simple height-based correction for temperature downscaling in complex terrain

et al. 2010

View full text Add to dashboard Cite

ABSTRACT:A new downscaling method has been developed to improve forecasts of near-surface temperature. This involves applying a correction to forecast temperatures to account for the difference in height between the terrain in the forecast model and the real terrain, using an estimate of the lapse rate of temperature. The strongest variations in lapse rate are found to occur overnight, being a function of cloud cover and geostrophic wind speed. These variables similarly influence the night time lapse rate in the UK Met Office Unified Model forecast at 4 km resolution. Therefore, a simple algorithm has been employed to estimate the lapse rate at a given location, based on forecast model temperature and elevation fields. The algorithm has a positive impact on performance in stable conditions, compared to assuming an adiabatic lapse rate at all times.  Crown

show abstract

Section: Discussionmentioning

confidence: 99%

A simple height-based correction for temperature downscaling in complex terrain

et al. 2010

View full text Add to dashboard Cite

show abstract

“…Cornford and Thornes, (1996) used a modified Hulme index (Thornes, 1991) and found a strong relationship between altitude above sea level and the number of snowy days in Scotland. Eriksson and Norrman (2001) studied the influence of different types of slipperiness with distance from the sea in a rectangular area across southern Sweden. They showed an evident influence of distance to the east from the Swedish west coast.…”

Section: Discussionmentioning

confidence: 99%

“…In Scotland, the altitudes differed from sea level to 1300 m above sea level, while in the two Swedish areas altitudes were only slightly above 300 m. Thus, the range in temperature is much higher due to the differences in altitude in Scotland. The area used by Eriksson and Norrman (2001) is 2.5 times the length in west-east orientation than in south-north orientation. Distance from the sea (and diminishing temperature) has a larger range than latitude.…”

Section: Discussionmentioning

confidence: 99%

“…However, the distribution of slipperiness is also influenced by geographical factors such as latitude, altitude and distance from the sea, all of which affect temperature, humidity and wind in prevailing weather systems. In Sweden, Eriksson and Norrman (2001) also found that not only did altitude have some influence on an area from the Swedish west coast to 250 kilometres to the east, but also distance from the sea. However, the question arises as to whether the same geographical variables could explain the distribution of slipperiness if the area was much larger/smaller in size.…”

Section: Introductionmentioning

confidence: 93%

See 1 more Smart Citation

Geographical distribution of road slipperiness in Sweden, on national, regional and county scales

Andersson

Gustavsson

Bogren

et al. 2007

Meteorological Applications

View full text Add to dashboard Cite

ABSTRACT:The influence of latitude on the distribution of slipperiness of roads in Sweden was studied at three scales: national, regional and county. Data from 654 Road Weather Information System (RWIS) stations were compiled over five winter seasons, from 1998/1999 to 2002/2003. The aim of the study was to establish a basis on which to model how future climate changes might affect frequency of slipperiness and costs for maintenance in winter. Four types of slipperiness were studied (slippery conditions due to moderate (HR1) or severe (HR2) hoarfrost, moist/wet surface that freezes (HT), and rain or sleet falling on a cold road (HN)), all adding up to form the winter index (WI).In Sweden, the distribution of slipperiness varies depending on the scale (national, regional or county). On the national and regional scales the mean temperatures give a general picture of the total slipperiness -i.e. dependence on latitude; different factors were tested and latitude proved to be the most correlated. Slipperiness caused by HR1 and HR2 hoarfrost tends to increase towards the north, while road icing (HT) decreases. On the county scale, neither latitude nor any other tested geographical variable, could explain much of the variance. Local climate and the directions of movement of individual weather systems may be more important. The regional scale is considered to be most suitable for future modelling of the influence of the effect of a changed climate on the slipperiness of the roads.

show abstract

“…Eriksson and Norrman [21] analyzed the locations of RWIS stations based on a slipperiness index, which was developed by combining several meteorological variables. Kwon and Fu [22] proposed a framework to evaluate possible locations for deploying RWIS, in which weather (i.e., variability of surface temperature, mean surface temperature, and precipitation) and traffic (i.e., traffic volume, accident rates, and highway type) factors were considered.…”

Section: Literature Reviewmentioning

confidence: 99%

Planning a road weather information system with GIS

et al. 2015

View full text Add to dashboard Cite

The road weather information system (RWIS), which collects and monitors weather and pavement surface conditions, has been proven effective to support winter road maintenance by improving safety, mobility, and efficiency. Although the geographic information systems are being widely applied for facility siting, traditional practices of sitting RWIS stations still heavily rely on the experiences of maintenance and operation personnel, which is time-consuming and subjective. This study develops a linear model to determine the optimal RWIS locations subject to three selection criteria: weather, traffic condition, and distance to existing RWIS sites, while considering practical constraints to satisfy specific requirements of various agencies (e.g., different weights of weather/traffic factors, various available budgets, etc.).

show abstract

Analysis of station locations in a road weather information system

Abstract: Many northern countries use a road weather information system (RWIS) with a network of stations to

Cited by 27 publications

References 18 publications

A simple height-based correction for temperature downscaling in complex terrain

A simple height-based correction for temperature downscaling in complex terrain

Geographical distribution of road slipperiness in Sweden, on national, regional and county scales

Planning a road weather information system with GIS

Contact Info

Product

Resources

About