Citizen weather stations data for monitoring applications and urban climate research: an example of Moscow megacity

Varentsov, M.I.; Samsonov, T.E.; Kargashin, P.E.; Korosteleva, P.A.; Varentsov, A.I.; Perkhurova, A.A.; Konstantinov, P.I.

Авторы: Varentsov M.I., Samsonov T.E., Kargashin P.E., Korosteleva P.A., Varentsov A.I., Perkhurova A.A., Konstantinov P.I.
Журнал: IOP Conference Series: Earth and Environmental Science
Том: 611
Год издания: 2020
Издательство: IOP Publishing
Местоположение издательства: [Bristol, UK], England
Первая страница: 012055
Последняя страница: 012055
DOI: 10.1088/1755-1315/611/1/012055
Аннотация: . This study considers experience in use of crowdsourced meteorological observationsfrom the world’s biggest network of citizen weather stations (CWSs), Netatmo, for urbanclimate research and applied monitoring services on the example of Moscow megacity.Crowdsourcing paradigm is an emerging alternative to the development of expensive urbanmeteorological networks. We have experimentally evaluated the uncertainties of the Netatmotemperature observations and regard them as being acceptable when the stations are shadowedfrom the sun. In order to filter out the misrepresentative observations, a quality-controlalgorithm has been developed. Within more than 1500 CWSs in the Moscow region, onlyabout 25% meet this quality control, which is still one order of magnitude higher than thenumber of official Roshydromet weather stations in the study area. Such amount of data opensnew opportunities for spatially-resolving urban climate studies and for applied services. As anexample of the latter, we present a prototype of a web-mapping application for a near-real-timetemperature monitoring system in Moscow. The application’s backend includes automaticservices for downloading of observations from Netatmo and official Roshydromet networks, aswell as for database maintaining. The processed data are visualized interactively in a webbrowser. The application is available on the Internet at http://carto.geogr.msu.ru/mosclim/. Itwill be further developed to include a real-time thermal comfort assessment based on thecontemporary PET and UTCI biometeorological indices, a visualization of the interpolatedfields, and other improvements.
Добавил в систему: Варенцов Михаил Иванович

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Citizen weather stations data for monitoring applications and urban climate research: an example of Moscow megacityстатья

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