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

This study considers experience in use of crowdsourced meteorological observations from the world's biggest network of citizen weather stations (CWSs), Netatmo, for urban climate research and applied monitoring services on the example of Moscow megacity. Crowdsourcing paradigm is an emerging alternative to the development of expensive urban meteorological networks. We have experimentally evaluated the uncertainties of the Netatmo temperature observations and regard them as being acceptable when the stations are shadowed from the sun. In order to filter out the misrepresentative observations, a quality-control algorithm has been developed. Within more than 1500 CWSs in the Moscow region, only about 25% meet this quality control, which is still one order of magnitude higher than the number of official Roshydromet weather stations in the study area. Such amount of data opens new opportunities for spatially-resolving urban climate studies and for applied services. As an example of the latter, we present a prototype of a web-mapping application for a near-real-time temperature monitoring system in Moscow. The application's backend includes automatic services for downloading of observations from Netatmo and official Roshydromet networks, as well as for database maintaining. The processed data are visualized interactively in a web browser. The application is available on the Internet at It will be further developed to include a real-time thermal comfort assessment based on the contemporary PET and UTCI biometeorological indices, a visualization of the interpolated fields, and other improvements. © Published under licence by IOP Publishing Ltd.

Varentsov M.I. 1, 2, 3, 4 , Samsonov T.E.1, 3 , Kargashin P.E.1 , Korosteleva P.A.1 , Varentsov A.I.1 , Perkhurova A.A.1 , Konstantinov P.I. 1, 4
Сборник материалов конференции
Institute of Physics Publishing
Номер выпуска
  • 1 Lomonosov Moscow State University, Research Computing Center, Faculty of Geography, Moscow, Russian Federation
  • 2 A.M. Obukhov Institute of Atmospheric Physic, Moscow, Russian Federation
  • 3 Hydrometeorological Research Center of Russia, Moscow, Russian Federation
  • 4 RUDN University, Smart Urban Nature Laboratory, Moscow, Russian Federation
Ключевые слова
Crowdsourcing; Information systems; Information use; Quality control; Thermal comfort; Weather information services; Automatic service; Meteorological observation; Monitoring applications; Monitoring services; Near-real time; Temperature observations; Urban climates; Weather stations; Monitoring
Дата создания
Дата изменения
Постоянная ссылка

Другие записи