Presentations TROPOMI User Workshop 5-6 March 2008


Scientific Session
Title Speaker Size [Mb]
TROPOMI : Sensing the troposphere from space Pieternel Levelt (KNMI) open document in new window or use right mouse click to download 42
NASA's experience in using the Aura OMI data for studies of atmospheric composition Pawan K. Bhartia (NASA-GSFC) open document in new window or use right mouse click to download 9,6
FMI participation in OMI and plans for TROPOMI Johanna Tamminen (FMI) open document in new window or use right mouse click to download 8,1
Observing NOx air pollution from space at multiple scales Folkert Boersma (KNMI) open document in new window or use right mouse click to download 16
Exploitation of GOME, SCIAMACHY and OMI data for monitoring atmospheric composition and transport, at the Belgian Institute for Space Aeronomy Martine de Mazière (BIRA) open document in new window or use right mouse click to download 6,8
Interpretation of Satellite Observations of Tropospheric NO2: Implications for TROPOMI Randall Martin (Dalhousie University) open document in new window or use right mouse click to download 11
Regional Air Quality and Climate from Space - A reality? John Remedios (Leicester University) open document in new window or use right mouse click to download 9,1
Aerosol remote sensing from the PARASOL mission and the A-train Didier Tanré (LOA) open document in new window or use right mouse click to download 16
Methane source estimation using space-borne observations Ilse Aben (SRON) open document in new window or use right mouse click to download 6,9
Tropospheric data (trace gases, aerosols, clouds) analysed in the satellite group Mainz-Heidelberg from GOME, SCIAMACHY and GOME-2: Critical summary and recommendations for TROPOMI Thomas Wagner (MPCH) open document in new window or use right mouse click to download 31
Applications of space-borne Carbon-monoxide measurements in Atmospheric Chemistry and Air Quality Maarten Krol (U. Wageningen) open document in new window or use right mouse click to download 3,2


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