ИСТИНА

Contemporary tendencies of climate change, urbanization and the growing demands of the population for a save and comfortable environment determine the growing attention to urban climate studies. Such studies are impossible without meteorological data for urban areas, which is required for climate researches, verification of numerical models as well as for providing a detailed environmental information for the population and urban services. The paradigm of meteorological crowdsourcing, i.e. the usage of the data from citizen weather stations (CWSs), is an emerging alternative to the development of expensive urban meteorological networks. The world’s biggest network of CWSs, Netatmo (https://www.netatmo.com/) counts thousands of CWSs in big European cities. Such amount of data could open a new era in spatially-resolving urban climate studies and public weather climate-related services. This study considers the application of CWS data from Netatmo network for urban climate research and the real-time monitoring of the meteorological conditions in Moscow megacity. We consider the different aspects of the work with the CWS data, including the data collection, quality control, experimental evaluation of the uncertainties of the sensors, and use the data of more than 1500 CWS together with reference observations to study the spatial patterns of the Moscow urban heat island. As a prototype a monitoring application, based on CWS data, we developed a web-service for near-real-time temperature mapping in Moscow region, that is available at http://carto.geogr.msu.ru/mosclim/. The study was supported by the RFBR and Moscow Government project No. 19-35-70009 mol_a_mos. Work of P.I. Konstantinov was supported by the Russian Science Foundation project No. 19-77-30012.