Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Improvement of air quality forecasts with satellite and ground based particulate matter observations
Abstract 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.
Highlights Fine resolved PM10-maps are developed from MODIS AOT using Support Vector Regression. Assimilation of PM10 ground measurements and PM-Maps improve model forecasts. PM10 simulations are conducted with WRF/Chem.
Improvement of air quality forecasts with satellite and ground based particulate matter observations
Abstract 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.
Highlights Fine resolved PM10-maps are developed from MODIS AOT using Support Vector Regression. Assimilation of PM10 ground measurements and PM-Maps improve model forecasts. PM10 simulations are conducted with WRF/Chem.
Improvement of air quality forecasts with satellite and ground based particulate matter observations
Hirtl, M. (Autor:in) / Mantovani, S. (Autor:in) / Krüger, B.C. (Autor:in) / Triebnig, G. (Autor:in) / Flandorfer, C. (Autor:in) / Bottoni, M. (Autor:in) / Cavicchi, M. (Autor:in)
Atmospheric Environment ; 84 ; 20-27
11.11.2013
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Satellite Remote Sensing of Particulate Matter Air Quality: The Cloud-Cover Problem
| Taylor & Francis Verlag | 2010