Trends and seasonal variability in tropospheric NO2
Ronald van der A(1), Henk Eskes(2), Folkert Boersma(3), Twan van Noije(4), Michel Van Roozendael(5), Isabelle De Smedt(5), Jeroen Kuenen(4) and Ernst Meijer(4)
(1) KNMI, Wilhelminalaan 10, 3730AE De Bilt, Netherlands
(2) KNMI, PO Box 201, 3730AE De Bilt, Netherlands
(3) Harvard University, 29 Oxford St., Cambridge, MA 02138, United States
(4) KNMI, PO box 201, 3730AE De Bilt, Netherlands
(5) BIRA-IASB, Av. Circulaire 3, 1180 Brussels, Belgium
A 10-year data set of tropospheric NO2 (1996-2005) has been processed from GOME and SCIAMACHY observations using a combined retrieval/assimilation approach. This approach allows the retrieval of global, accurate tropospheric concentrations and detailed error estimates. The resulting dataset has been analysed with statistical methods to derive trends in NO2 and the seasonal variability on a grid of 1x1 degree worldwide.
The seasonal variability allows us to distinguish the dominant sources of NOx emissions: anthropogenic (fossil fuel), biomass burning and soil emissions. By comparing the data with the cloud information derived from the same satellite observations the contribution of lightning to the total column of NO2 is estimated. The world-wide trends, seasonal variability, dominant source and anthropogenic emission estimates will be discussed.
Keywords: ESA European
Space Agency - Agence spatiale europeenne,
observation de la terre, earth observation,
satellite remote sensing,
teledetection, geophysique, altimetrie, radar,
chimique atmospherique, geophysics, altimetry, radar,