Road weather forecasting systems in Czech Republic

0560172 - ÚFA 2023 RIV LT eng C - Konferenční příspěvek (zahraniční konf.)
Zacharov, Petr, jr. - Bližňák, Vojtěch - Hanzlík, J. - Pešice, Petr - Sedlák, Pavel - Sokol, Zbyněk
Road weather forecasting systems in Czech Republic.
Proceedings of the 20th SIRWEC conference. Vilnius: Vilnius University Press, 2022 - (Kažys, J.; Šidlauskaitė, L.), s. 69-73. ISBN 978-609-07-0738-8.
[SIRWEC2022 Internation Road Weather Conference /20./. Druskininkai (LT), 14.06.2022-16.06.2022]
Grant CEP: GA TA ČR(CZ) CK01000048
Institucionální podpora: RVO:68378289
Klíčová slova: road surface temperature
Obor OECD: Meteorology and atmospheric sciences
https://www.journals.vu.lt/proceedings/article/view/27645/26922

The goal of the contribution is to assess an impact of extrapolated cloud cover derived from satellite observations on forecasts of road surface temperature (RST) and road surface condition (RSC) performed by the road weather model FORTE. By default, the model uses prognostic cloud coverdataderived from the ALADIN NWP modeland,in cases where these prognoses significantlydiffer from observations, the FORTE model may produce erroneous RST and/or RSC.This is supported by preliminary results, which show that the inclusion of satellite-derived cloud cover leads to more realistic RST forecastsfor several selected case studies
Trvalý link: https://hdl.handle.net/11104/0333179