Počet záznamů: 1
Impact of satellite-derived cloud cover on road weather forecasts
- 1.
SYSNO ASEP 0573220 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Impact of satellite-derived cloud cover on road weather forecasts Tvůrce(i) Bližňák, Vojtěch (UFA-U) RID, ORCID
Zacharov, Petr, jr. (UFA-U) RID, ORCID
Sokol, Zbyněk (UFA-U) RID, ORCID
Pešice, Petr (UFA-U) RID, ORCID
Šťástka, J. (CZ)
Sedlák, Pavel (UFA-U) RID, ORCIDCelkový počet autorů 6 Číslo článku 106887 Zdroj.dok. Atmospheric Research. - : Elsevier - ISSN 0169-8095
Roč. 292, September 1 (2023)Poč.str. 12 s. Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova Cloud cover ; Meteorological satellite ; Radiation fluxes ; Road weather forecast ; Road surface temperature ; Road temperature Vědní obor RIV DG - Vědy o atmosféře, meteorologie Obor OECD Meteorology and atmospheric sciences CEP CK01000048 GA TA ČR - Technologická agentura ČR Způsob publikování Omezený přístup Institucionální podpora UFA-U - RVO:68378289 UT WOS 001033093600001 EID SCOPUS 85162965273 DOI 10.1016/j.atmosres.2023.106887 Anotace This paper presents an innovative approach to road surface temperature (RST) forecasting by using satellite-derived cloud cover information as inputs for the FOrecast of Road TEmperature and condition (FORTE) road weather model (RWM). FORTE is a 1D physical based model used for solving energy balance and heat conduction equations. The new method uses the extrapolated cloud mask product calculated from Meteosat Second Generation satellite measurements to derive the forecasted cloud cover, which is then entered into the RWM. This method is based on the assumption that cloud cover extrapolated for the very near future (i.e., 1–3 h) from current conditions is able to provide more accurate input data (as compared to the currently used numerical weather prediction (NWP) model forecast) that can be used for calculating the radiation fluxes in the RWM. The resulting RSTs were verified over a 2-month period from December 2021 to January 2022 at road weather stations located on 4 selected Czech motorways. The obtained results showed that the innovated model run using satellite-derived cloud cover generated RSTs closer to the observed values, in contrast to the original model run, whose predictions have larger errors. The greatest improvement is evident during the day, when solar radiation dominates, and especially in the 2nd and 3rd forecasted hours, when extrapolated cloud cover helps to reduce the morning overestimation and afternoon underestimation of RSTs. If the NWP model incorrectly predicts clouds over the road surface on cloudless nights, the emitted downwards radiation from the clouds towards the Earth's surface is increased in the RWM, which leads to an overestimation of the RSTs. On the other hand, incorrectly predicting clear skies leads to a negative radiation balance in the RWM, which typically results in RSTs that are lower than the observations. Pracoviště Ústav fyziky atmosféry Kontakt Kateřina Adamovičová, adamovicova@ufa.cas.cz, Tel.: 272 016 012 ; Kateřina Potužníková, kaca@ufa.cas.cz, Tel.: 272 016 019 Rok sběru 2024 Elektronická adresa https://www.sciencedirect.com/science/article/abs/pii/S0169809523002843
Počet záznamů: 1