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Www.meteogroup.com Title, Author, Date, Page 1 WRF for winter roads Hugo Hartmann, Jelle Wisse, Daniël van Dijke Presentation 7B.5 – 14th Annual WRF User’s.

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Presentation on theme: "Www.meteogroup.com Title, Author, Date, Page 1 WRF for winter roads Hugo Hartmann, Jelle Wisse, Daniël van Dijke Presentation 7B.5 – 14th Annual WRF User’s."— Presentation transcript:

1 www.meteogroup.com Title, Author, Date, Page 1 WRF for winter roads Hugo Hartmann, Jelle Wisse, Daniël van Dijke Presentation 7B.5 – 14th Annual WRF User’s Workshop, 24-28 June 2013

2 www.meteogroup.com Winter roads… Page 2 Winter is beautiful... but that is not the topic of this presentation… Winter is also very dangerous for public safety!

3 www.meteogroup.com A weather forecasting service of MeteoGroup RoadCast Page 3

4 www.meteogroup.com MeteoGroup‘s RoadCast WRF case definition Results Conclusions & Outlook Outline Page 4

5 www.meteogroup.com Weather forecast… RoadCast Page 5 Route based forecast Local measurements Database with for all routes: sky and solar view factor RoadCast core “Land-surface model”

6 www.meteogroup.com Forecast of road surface temperature Ede Otterlo Arnhem RoadCast sensitivity to temperature variations Page 6 Observed temperature variations are more extreme (land-use, topography) EXPENSIVE! WRF?? 17 Feb 2011 (clear-sky night) Observed road surface temperature Ede Otterlo Arnhem Solution: use measured air temperature profile as input to the model (thermal map)

7 www.meteogroup.com Weather forecast… RoadCast Page 7 Route based forecast Thermal map, TT measurement / simulation Local measurements Database with for all routes: sky and solar view factor RoadCast core “Land-surface model”

8 www.meteogroup.com Project aim: Investigate whether WRF is able to simulate realistic local air temperature variations during clear and calm nights Domain of interest: Wales, complex terrain WRF case definition Page 8 valley ridge 0 km 10 km 16 km 22 km 28 km 35 km Google Earth

9 www.meteogroup.com Synoptic situations (clear-sky) WRF case definition Page 9 March 26-27, 2012 CASE ‘EAST’ – EASTERLY WIND March 28-29, 2012 CASE ‘NORTH’ – NORTHERLY WIND

10 www.meteogroup.com WRF 3.3.1 (7.5 km – 1.5 km – 0.5 km) ECMWF 00z input (0.125°  15 km) One-way nested Simulation time: 2 days (1 day spin-up) 39 eta levels (first level 10 m) 148 x 148 gridpoints (0.5 km) WRF case definition Page 10 7.5 km 1.5 km 0.5 km Google Earth WRF 7.5 km WRF 1.5 km WRF 0.5 km

11 www.meteogroup.com 0 10 m/s 0 20°C Results (0.5 km) – 15 UTC Page 11 N EASTNORTH 0 10 m/s

12 www.meteogroup.com Results – 15 UTC Page 12 EASTNORTH

13 www.meteogroup.com 0 20°C 0 10 m/s Results (0.5 km) – 5 UTC Page 13 N EASTNORTH 0 10 m/s

14 www.meteogroup.com Results – 5 UTC EASTNORTH Page 14

15 www.meteogroup.com Results – Ridge EASTNORTH Page 15

16 www.meteogroup.com Results – Valley EASTNORTH Page 16

17 www.meteogroup.com More cases needed –Thermal map strongly depends on wind speed/direction, stability atmosphere) 1.5 km / 0.5 km comparable results, but steep peaks/valleys still not resolved satisfactory –Explore potential of improved wind parameterization scheme (Jimenez and Dudhia, 2011) Explore other PBL schemes Nearest neighbour procedure not the best option for generating the thermal map –develop alternative methodology(ies) for representative gridpoints Conclusions & Outlook Page 17

18 www.meteogroup.com Thank you Title, Author, Date, Page 18

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