http://www.cnr.it/ontology/cnr/individuo/prodotto/ID45314
MODIS and OMI satellite observations supporting Air Quality monitoring (Articolo in rivista)
- Type
- Label
- MODIS and OMI satellite observations supporting Air Quality monitoring (Articolo in rivista) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
- Alternative label
Di Nicolantonio, W., A. Cacciari, A. Petritoli, C. Carnevale, E. Pisoni, M. L. Volta, P. Stocchi, G. Curci, E. Bolzacchini, L. Ferrero, C. Ananasso, and C. Tomasi (2009)
MODIS and OMI satellite observations supporting Air Quality monitoring
in Radiation protection dosimetry
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Di Nicolantonio, W., A. Cacciari, A. Petritoli, C. Carnevale, E. Pisoni, M. L. Volta, P. Stocchi, G. Curci, E. Bolzacchini, L. Ferrero, C. Ananasso, and C. Tomasi (literal)
- Pagina inizio
- Pagina fine
- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- 1 Carlo Gavazzi Space S.p.A., Institute of Atmospheric Sciences and Climate (ISAC)CNR, via P. Gobetti
101, 40129 Bologna, Italy
2ISAC-CNR, via P. Gobetti 101, 40129 Bologna, Italy
3Department of Electronics for Automation, University of Brescia, via Branze 38, 25123 Brescia, Italy
4CETEMPS, University of LAquila, via Vetoio, Coppito (AQ), Italy
5Department of Environmental Sciences, University of Milano Bicocca, Piazza della Scienza, Milano, Italy
6Italian Space Agency, V.le Liegi, Roma, Italy (literal)
- Titolo
- MODIS and OMI satellite observations supporting Air Quality monitoring (literal)
- Abstract
- Within the framework of air quality monitoring, measurements by Earth-observing satellite sensors are combined here with
regional meteorological and chemical transport models. Two satellite-derived products developed within the QUITSAT
project, regarding significant pollutants including PM2.5 and NO2, are presented. Estimates of PM2.5 concentrations at
ground level were obtained using moderate resolution imaging spectroradiometer (Terra-Aqua/NASA) aerosol optical properties.
The semi-empirical approach adopted takes into account PM2.5 sampling and meteorological descriptions of the area
studied, as simulated by MM5, to infer aerosol optical properties to PM projection coefficients. Daily maps of satellite-based
PM2.5 concentrations over northern Italy are derived. Monthly average values were compared with in situ PM2.5 samplings
showing good agreement. Ozone monitoring instrument (OMI) (Aura/NASA) NO2 tropospheric contents are merged using
the GAMES chemical model simulations. The method employs a weighted rescaling of the model column in the troposphere
according to the OMI observations. The weightings take into account measurement errors and model column variances within
the satellite ground pixel. The obtained ground-level concentrations of NO2 show good agreement with the environmental
agencies in situ. (literal)
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- Autore CNR
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