Improving the operational forecasts of outdoor Universal Thermal Climate Index with post-processing

Kuzmanović, Danijela (avtor), Banko, Jana (avtor), Skok, Gregor (avtor)

The Universal Thermal Climate Index (UTCI) is a thermal comfort index that describes how the human body experiences ambient conditions. It has units of temperature and considers physiological aspects of the human body. It takes into account the effect of air temperature, humidity, wind, radiation, and clothes. It is increasingly used in many countries as a measure of thermal comfort for outdoor conditions, and its value is calculated as part of the operational meteorological forecast. At the same time, forecasts of outdoor UTCI tend to have a relatively large error caused by the error of meteorological forecasts. In Slovenia, there is a relatively dense network of meteorological stations. Crucially, at these stations, global solar radiation measurements are performed continuously, which makes estimating the actual value of the UTCI more accurate compared to the situation where no radiation measurements are available. We used seven years of measurements in hourly resolution from 42 stations to first verify the operational UTCI forecast for the first forecast day and, secondly, to try to improve the forecast via post-processing. We used two machine-learning methods, linear regression, and neural networks. Both methods have successfully reduced the error in the operational UTCI forecasts. Both methods reduced the daily mean error from about 2.6°C to almost zero, while the daily mean absolute error decreased from 5°C to 3°C for the neural network and 3.5°C for linear regression. Both methods, especially the neural network, also substantially reduced the dependence of the error on the time of the day.

• Jezik: Angleški jezik
• Ključne besede: climatology, Universal Thermal Climate Index, thermal comfort, verification, UTCI forecasting, post-processing
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FMF - Fakulteta za matematiko in fiziko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2024
• Št. strani: Str. 965–977
• Številčenje: Vol. 68, iss. 5
• PID: 20.500.12556/RUL-156150
• UDK: 551.58
• ISSN pri članku: 0020-7128
• DOI: 10.1007/s00484-024-02640-6
• COBISS.SI-ID: 187754499
• Datum objave v RUL: 10.05.2024

Gradivo je del revije

• Naslov: International journal of biometeorology
• Skrajšan naslov: Int. j. biometeorol.
• Založnik: Springer Nature, International Society of Biometeorology
• ISSN: 0020-7128
• COBISS.SI-ID: 25638400

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: klimatologija, univerzalni toplotni klimatski indeks, termalni indeks, verifikacija

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P1-0188
• Naslov: Astrofizika in fizika atmosfere