1 / 21

Comparison of GLOBAEROSOL products in the frame of AeroCom Michael Schulz

Comparison of GLOBAEROSOL products in the frame of AeroCom Michael Schulz Laboratoire des Sciences du Climat et de l’Environnement Gif-sur-Yvette, France Stefan Kinne Max-Planck-Institut for Meteorology Hamburg, Germany. quick (annual) AOD check. ATSR underestimates in dust regions

cecil
Download Presentation

Comparison of GLOBAEROSOL products in the frame of AeroCom Michael Schulz

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Comparison of GLOBAEROSOL products in the frame of AeroCom Michael Schulz Laboratoire des Sciences du Climat et de l’Environnement Gif-sur-Yvette, France Stefan Kinne Max-Planck-Institut for Meteorology Hamburg, Germany

  2. quick (annual) AOD check • ATSR • underestimates in dust regions • overestimate in biomass regions • SEVIRI • severe biomass overestimates • useful over-land estimates ? • MERIS • apparent land snow cover issue • merged • not the envisioned improvement  ‘-’ ’+’ 

  3. Evaluation of GLOBAEROSOL products a la Aerocom • Monthly 1x1 gridded data were compared to daily(=>monthly) Aeronet AOD and Angstroem Component From year 2004 and climatological average year • MISR, 2xMODIS, ATSR-Swansey, POLDER, Modell-Median are used as reference, all available years and clim. year • 4 GLOBAER-ATSR product versions were studied • Evaluation catalogue is available via AeroCom web interface Aeronet site locations 2004

  4. http://nansen.ipsl.jussieu.fr/AEROCOM/surfobs.html

  5. CONCLUSIONS intercomparison I GLOBAER_ATSR slightly smaller coverage No data for multi-annual performance check for ATSR AOD@550 nm Exact matching comparison could not be achieved, but sufficient number of data for robust statistics GLOBAER MERIS&SEVIRI have a considerable positive bias (ca. 0.03 AOD) Meris has too low variability, Seviri too high; ATSR slightly high RMS Error: SEVIRI > ATSR = MERIS >> MISR > 2xMODIS = Polder (only coastal) = Modell Median Correlation: MERIS < SEVIRI = ATSR < ATSR-Swansey << MISR = Modell Median < 2xMODIS = Polder Spatial correlation: MERIS < ATSR = Modell Median < Seviri < ATSR-Swansey = 2MODIS < MISR Seasonal correlation: Seviri = MERIS = ATSR < Modell Median < ATSR Swansey < MISR/MODIS/POLDER

  6. quick (annual) AOD check • ATSR • underestimates in dust regions • overestimate in biomass regions • SEVIRI • severe biomass overestimates • useful over-land estimates ? • MERIS • apparent land snow cover issue • merged • not the envisioned improvement  ‘-’ ’+’ 

  7. Angstroem Component

  8. Angstroem Component

  9. Angstroem Component

  10. Angstroem Component

  11. quick annual Angstrom check • ATSR • underestimates in tropics • overstimates in south. oceans • SEVIRI • underestimates over oceans • strong overestimates over land • MERIS • overestimates over land • merged • not the envisioned improvement  ‘-’ ’+’ 

More Related