Improvement of air quality forecasts with satellite and ground based particulate matter observations

Autor:	C. Flandorfer, M. Cavicchi, Simone Mantovani, G. Triebnig, B. C. Krüger, Marcus Hirtl, M. Bottoni
Rok vydání:	2014
Předmět:	Atmospheric Science Public information Meteorology Air pollution Particulates medicine.disease_cause Aerosol medicine Environmental science Satellite Scale (map) Air quality index General Environmental Science Interpolation Remote sensing
Zdroj:	Atmospheric Environment. 84:20-27
ISSN:	1352-2310
Popis:	Daily regional scale forecasts of particulate air pollution are simulated for public information and warning. An increasing amount of air pollution measurements is available in real-time from ground stations as well as from satellite observations. In this paper, the Support Vector Regression technique is applied to derive highly-resolved PM10 initial fields for air quality modeling from satellite measurements of the Aerosol Optical Thickness. Additionally, PM10-ground measurements are assimilated using optimum interpolation. The performance of both approaches is shown for a selected PM10 episode.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::207afc9a4d4206046e6fae7eb514dae8 https://doi.org/10.1016/j.atmosenv.2013.11.027 Zobrazit plný text záznamu Full Text from ScienceDirect