Presentation on theme: "Applications of space-borne Carbon- monoxide measurements in Atmospheric Chemistry and Air Quality Maarten Krol, Wageningen University / SRON / IMAU Jos."— Presentation transcript:
Applications of space-borne Carbon- monoxide measurements in Atmospheric Chemistry and Air Quality Maarten Krol, Wageningen University / SRON / IMAU Jos de Laat (KNMI) & Annemieke Gloudemans & Ilse Aben (SRON) Jan Fokke Meirink (IMAU/KNMI) & Guido van der Werf (VU)
Research Question How can satellite measurements help to improve our knowledge on the CO budget?
De Laat et al. GRL 2006 IMLM v6.3 September 2003- August 2004 De Laat et al. GRL 2006 SCIAMACHY CO NIR (like TROPOMI) Surface Sensitivity Large Noise Errors: Ice on detector Weak Lines Low NIR Albedo Averaging reduces noise related errors!
Gloudemans et al. GRL 2006 1: Sampling model: at right place & time 2: Inaccurate measurements get smaller weight Biomass burning Tracer studies
Considerable contribution from longe-range transport e.g. from South America “Excess” CO column
de Laat et al., JGR, 2007 Improved Biomass Burning estimates
Modeled distribution consistent with SCIAMACHY observations TM4 on average too low (NH) Measurements over clouds!
Remarks on modelling: Models needed for quantitative analysis Data-assimilation: estimate “uncertain parameters” (emissions, initial composition) satellite applications: must ingest large amounts of data (SCIAMACHY, TES, MOPITT) All data sources have their own errors and biases: bias correction is required (e.g. ECMWF)
Available techniques Ensemble Kalman Filter (e.g. CarbonTracker) 4D-VAR (e.g. talk Ilse Aben, ECMWF) Application to CO underway...
TRANSCOM meeting: 2-6 June 2008, Utrecht Conclusions Development of models and assimilation techniques important for quantitative use satellite data SCIAMACHY CO: promising development Sensitivity down to Earth surface TROPOMI CO: higher resolution, more cloudfree pixels, 5x better sensitivity