caa a22 4500 467922764 CHVBK 20180406152921.0 cr unu---uuuuu 170328e20061201xx s 000 0 eng 10.1007/s00477-006-0055-4 doi (NATIONALLICENCE)springer-10.1007/s00477-006-0055-4 Statistical mapping of PM10 concentrations over Western Europe using secondary information from dispersion modeling and MODIS satellite observations [Elektronische Daten] [J. Kassteele, R. Koelemeijer, A. Dekkers, M. Schaap, C. Homan, A. Stein] This paper illustrates the use of statistical techniques to standardize ground based measurements of particulate matter (PM10). Concentrations are interpolated over Western Europe using uncertain secondary information from a chemical transport model and of aerosol optical thickness from MODIS satellite observations. A consistent overview of PM10 concentrations over Europe based solely on ground based measurements is complicated by differences between countries. Different monitoring methods are used and calibrations are applied. There also is an inherent limitation to the spatial representativeness of ground based measurements. Validation showed that adding secondary information from either the chemical transport model or the satellite observations improved the PM10 mapping. The URMSE decreased from 5.14 to 4.26 and 4.58, respectively. A combination of both sources of secondary information gave the most accurate and precise predictions, with an URMSE of 3.62. This means that both external sources contain additional information on the spatial distribution of PM10 concentrations and should therefore be preferred. Springer-Verlag, 2006 Particulate matter nationallicence Bayesian statistics nationallicence Atmospheric modeling nationallicence MODIS nationallicence Aerosol optical thickness nationallicence Kassteele J. National Institute for Public Health and the Environment - RIVM, P.O. BOX 1, 3720 BA, Bilthoven, The Netherlands aut Koelemeijer R. Netherlands Environmental Assessment Agency, Bilthoven, The Netherlands aut Dekkers A. National Institute for Public Health and the Environment - RIVM, P.O. BOX 1, 3720 BA, Bilthoven, The Netherlands aut Schaap M. TNO, Business unit Environment, Health and Safety, Apeldoorn, The Netherlands aut Homan C. Netherlands Environmental Assessment Agency, Bilthoven, The Netherlands aut Stein A. Mathematical and Statistical Methods Group - Biometris, Wageningen University, Wageningen, The Netherlands aut Stochastic Environmental Research and Risk Assessment Springer-Verlag 21/2(2006-12-01), 183-194 1436-3240 21:2<183 2006 21 477 https://doi.org/10.1007/s00477-006-0055-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00477-006-0055-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kassteele J. National Institute for Public Health and the Environment - RIVM, P.O. BOX 1, 3720 BA, Bilthoven, The Netherlands aut NATIONALLICENCE 700 1- Koelemeijer R. Netherlands Environmental Assessment Agency, Bilthoven, The Netherlands aut NATIONALLICENCE 700 1- Dekkers A. National Institute for Public Health and the Environment - RIVM, P.O. BOX 1, 3720 BA, Bilthoven, The Netherlands aut NATIONALLICENCE 700 1- Schaap M. TNO, Business unit Environment, Health and Safety, Apeldoorn, The Netherlands aut NATIONALLICENCE 700 1- Homan C. Netherlands Environmental Assessment Agency, Bilthoven, The Netherlands aut NATIONALLICENCE 700 1- Stein A. Mathematical and Statistical Methods Group - Biometris, Wageningen University, Wageningen, The Netherlands aut NATIONALLICENCE 773 0- Stochastic Environmental Research and Risk Assessment Springer-Verlag 21/2(2006-12-01), 183-194 1436-3240 21:2<183 2006 21 477 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer