Accounting for anthropic energy flux of traffic in winter urban road surface temperature simulations with the TEB model
Snowfall forecasts help winter maintenance of road networks, ensure better coordination between services, cost control, and a reduction in environmental impacts caused by an inappropriate use of de-icers. In order to determine the possible accumulation of snow on pavements, forecasting the road surf...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-02-01
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| Series: | Geoscientific Model Development |
| Online Access: | http://www.geosci-model-dev.net/9/547/2016/gmd-9-547-2016.pdf |
| _version_ | 1811240554425483264 |
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| author | A. Khalifa M. Marchetti L. Bouilloud E. Martin M. Bues K. Chancibaut |
| author_facet | A. Khalifa M. Marchetti L. Bouilloud E. Martin M. Bues K. Chancibaut |
| author_sort | A. Khalifa |
| collection | DOAJ |
| description | Snowfall forecasts help winter maintenance of road networks, ensure better
coordination between services, cost control, and a reduction in environmental
impacts caused by an inappropriate use of de-icers. In order to determine the
possible accumulation of snow on pavements, forecasting the road surface
temperature (RST) is mandatory. Weather outstations are used along these
networks to identify changes in pavement status, and to make forecasts by
analyzing the data they provide. Physical numerical models provide such
forecasts, and require an accurate description of the infrastructure along
with meteorological parameters. The objective of this study was to build a
reliable urban RST forecast with a detailed integration of traffic in the
Town Energy Balance (TEB) numerical model for winter maintenance. The study
first consisted in generating a physical and consistent description of
traffic in the model with two approaches to evaluate traffic incidence on
RST. Experiments were then conducted to measure the effect of traffic on RST
increase with respect to non-circulated areas. These field data were then
used for comparison with the forecast provided by this traffic-implemented
TEB version. |
| first_indexed | 2024-04-12T13:22:18Z |
| format | Article |
| id | doaj.art-e22db8647cfd42e683949b4908e72a74 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-04-12T13:22:18Z |
| publishDate | 2016-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-e22db8647cfd42e683949b4908e72a742022-12-22T03:31:26ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032016-02-019254756510.5194/gmd-9-547-2016Accounting for anthropic energy flux of traffic in winter urban road surface temperature simulations with the TEB modelA. Khalifa0M. Marchetti1L. Bouilloud2E. Martin3M. Bues4K. Chancibaut5IFSTTAR, Centre de Nantes, route de Bouaye, CS4, 44344 Bouguenais CEDEX, FranceCerema – DTer Est – LR Nancy, 71 rue de la grande haie, 54510 Tomblaine, FranceMétéo France, Direction de la Production, 42 avenue G. Coriolis, 31057 Toulouse CEDEX, FranceCNRM-GAME (Météo-France, CNRS), Météo France, 42 avenue G. Coriolis, 31057 Toulouse CEDEX, FranceUniversité de Lorraine, UMR 7359-GeoRessources CNRS/UL/CREGU, ENSG, 54518 Vandoeuvre-lès-Nancy CEDEX, FranceIFSTTAR, Centre de Nantes, route de Bouaye, CS4, 44344 Bouguenais CEDEX, FranceSnowfall forecasts help winter maintenance of road networks, ensure better coordination between services, cost control, and a reduction in environmental impacts caused by an inappropriate use of de-icers. In order to determine the possible accumulation of snow on pavements, forecasting the road surface temperature (RST) is mandatory. Weather outstations are used along these networks to identify changes in pavement status, and to make forecasts by analyzing the data they provide. Physical numerical models provide such forecasts, and require an accurate description of the infrastructure along with meteorological parameters. The objective of this study was to build a reliable urban RST forecast with a detailed integration of traffic in the Town Energy Balance (TEB) numerical model for winter maintenance. The study first consisted in generating a physical and consistent description of traffic in the model with two approaches to evaluate traffic incidence on RST. Experiments were then conducted to measure the effect of traffic on RST increase with respect to non-circulated areas. These field data were then used for comparison with the forecast provided by this traffic-implemented TEB version.http://www.geosci-model-dev.net/9/547/2016/gmd-9-547-2016.pdf |
| spellingShingle | A. Khalifa M. Marchetti L. Bouilloud E. Martin M. Bues K. Chancibaut Accounting for anthropic energy flux of traffic in winter urban road surface temperature simulations with the TEB model Geoscientific Model Development |
| title | Accounting for anthropic energy flux of traffic in winter urban road surface temperature simulations with the TEB model |
| title_full | Accounting for anthropic energy flux of traffic in winter urban road surface temperature simulations with the TEB model |
| title_fullStr | Accounting for anthropic energy flux of traffic in winter urban road surface temperature simulations with the TEB model |
| title_full_unstemmed | Accounting for anthropic energy flux of traffic in winter urban road surface temperature simulations with the TEB model |
| title_short | Accounting for anthropic energy flux of traffic in winter urban road surface temperature simulations with the TEB model |
| title_sort | accounting for anthropic energy flux of traffic in winter urban road surface temperature simulations with the teb model |
| url | http://www.geosci-model-dev.net/9/547/2016/gmd-9-547-2016.pdf |
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