Publications

Hirtl, M.; Mantovani, S.; Krueger, B. C.; Triebnig, G.; Flandorfer, C.; Bottoni, M.; Cavicchi, M. (2014). Improvement of air quality forecasts with satellite and ground based particulate matter observations. ATMOSPHERIC ENVIRONMENT, 84, 20-27.

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. (C) 2013 Elsevier Ltd. All rights reserved.

DOI:
10.1016/j.atmosenv.2013.11.027

ISSN:
1352-2310; 1873-2844