Local temperature differences in relation to weather parameters

Bogren, Jörgen; Gustavsson, Torbjörn; Postgård, U

doi:10.1002/(sici)1097-0088(200002)20:2<151::aid-joc460>3.0.co;2-u

Cited by 17 publications

(22 citation statements)

References 16 publications

(16 reference statements)

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“…This could result in heating of the sun-exposed station and a delay in decline of RST differences. Bogren et al (2000a) also showed that, provided that the solar elevation is high, the effect of shading has a significant influence on the road surface temperature, even with cloud cover of 4-6 oktas. The complex cloud situation also made it difficult to determine the exact time at which the front arrived and this has affected the difference between modelled and measured values and resulted in larger deviations.…”

Section: Discussionmentioning

confidence: 98%

“…Influences of variation in cloud and wind can be studied by comparing these extreme situations with measured RST differences during other situations. More studies need to be made on the transition between different categories since changes in weather can create the risk of a lag effect at the road surface (Gustavsson & Bogren, 1990;Gustavsson, 1991;Wood & Clark, 1999;Bogren et al, 2000a;Postgård & Lindqvist, 2001). In order to analyse how great this lag effect can be and to consider a worst-case scenario, weather changes from clear to overcast conditions were studied (Postgård & Lindqvist, 2001) since large temperature differences can develop along the road during clear day conditions.…”

Section: Introductionmentioning

confidence: 99%

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Adjustment time for road surface temperature during weather changes

Postgård¹

2001

Meteorological Applications

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The object of this study is to examine the possibility of developing a model that can determine road surface adjustment times to new conditions after weather changes. Situations where the weather changes from clear to overcast conditions are studied in order to produce a worst‐case scenario. One hypothesis tested is that the decrease in road surface temperature (RST) differences between shaded and sun‐exposed stations on clear days can be used to determine the reduction in RST difference on days with weather changes. A relationship that describes the variation in RST difference as a function of time of day and season is developed. For clear days a fourth‐order polynomial can describe the relationship between RST differences and time of day. The coefficient in the polynomial depends on maximal solar elevation. Validation of the model for clear days showed that the deviation between modelled and measured values varied between 0.3 and $0.5\ ^{\circ}\hbox{C}$. It was also possible to use the clear day relationship to predict the decrease in RST differences for situations with weather changes, but during these situations the deviations between modelled and measured values were higher and also tended to show a positive bias. Copyright © 2001 Royal Meteorological Society

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Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Adjustment time for road surface temperature during weather changes

Postgård¹

2001

Meteorological Applications

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“…Gustavsson, 1991, Gustavsson et al, 1998). The noticeable increase in scatter in Figure 4(b) is probably due to cold air pooling in stable night time conditions, which is more directly related to local topography than elevation above sea level (Bogren and Gustavsson, 1991;Gustavsson, 1999;Bogren et al, 2000). A more detailed study of observed night time γ as a function of cloud cover and wind was performed for the Devon stations by compiling γ values as implied by the slopes of plots such as Figures 4(a) and (b) constructed for nights in winter 2006-2007.…”

Section: Behaviour Of the Environmental Lapse Ratementioning

confidence: 99%

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

et al. 2010

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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

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“…Gustavsson & Bogren (1990) have shown that the distribution of slipperiness during warm-air advection is controlled by the weather situation preceding the advection. Bogren et al (2000a) showed that solar insolation preceding a cloudy weather situation is a factor that influences the night-time surface temperature decrease with altitude during cloudy situations, due to the slow thermal reaction of the surface compared to the air. This study focuses on air and surface temperature variations along the road during advancing warm fronts.…”

Section: Introductionmentioning

confidence: 99%

“…Air temperature differences of 10 °C have been found between valley locations and reference areas where no pooling of cool air could occur (Bogren & Gustavsson, 1991). In the presence of clouds there will be a reduction of the temperature difference and the magnitude is dependent on the amount and type of clouds (Bogren et al, 2000a).…”

Section: Introductionmentioning

confidence: 99%