1 / 16

Characterization of aerosol types from MODIS-AIRS

Characterization of aerosol types from MODIS-AIRS. Yan Zhang Nov. 08, 2012. Motivation Both CO and aerosols can be produced by incomplete combustion that occurs in biomass burning. CO could be a good indicator of smoke aerosols.

hadar
Download Presentation

Characterization of aerosol types from MODIS-AIRS

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. Characterization of aerosol types from MODIS-AIRS Yan Zhang Nov. 08, 2012

  2. Motivation • Both CO and aerosols can be produced by incomplete combustion that occurs in biomass burning. CO could be a good indicator of smoke aerosols. • If we could use CO and aerosol properties from satellite measurements to characterize dust and smoke aerosol over equatorial Atlantic ocean? • Data • MODIS: The aerosol data used in this study are Aqua MODIS level 2 aerosol product data (MYD04). The accuracy of AOT is approximately 0.03 over ocean [Remer et al., 2005]. • AOD and FMF over Ocean • AIRS: The CO data used in this study are Aqua AIRS level 2 product data from JY Warner group. • CO

  3. Smoke FMF • What do we expect for ideal case? • CO and aerosol only be produced by incomplete combustion from biomass burning. • What will make an ideal to not an ideal? • Removal processes: • CO: • Aerosol: wet and dry deposition • Life time • CO: ~2 months • Aerosol: ~ 1 week • Others: data quality Dust CO

  4. Case Study

  5. Dust and smoke study on Jan 31, 2008

  6. 6-day HYSPLIT backward trajectories ending at [9ºN, 15ºW] in the smoke-dominated regime and at [4ºN, 7.5ºW] in the dust-smoke mixed regime on January 31, 2008 1400UTC. The air mass arrived at both locations passed over the smoke-active Sahel region during the January 28-30 period. During the January 26-27 period, the air mass arriving at [4ºN, 7.5ºW] originated from the Bodèlè Depression – the major source of Saharan dust in the winter, whereas that arriving at [9ºN, 15ºW] drifted off north to the Bodèlè Depression and were influenced less by dust.

  7. Qflag =3 Qflag =3

  8. MODIS Dust Aerosols Analysis

  9. Criteria: • Qflag = 3; • AOD> 0.15 • Fcld<0.3 • Domain: Dust outflow region • lat_min= 17; • lat_max = 20; • lon_min = -24; • lon_max = -19;

  10. N(lat) w(lon)

  11. AERONET measurements from Capo-Verde 1996~2009 daily data, JJA, AOD> 0.4, SAZ>50; Thanks Dongchul Kim.

  12. Seasonal Analysis from MODIS-AIRS

  13. lat_min = 0; • lat_max = 20; • lon_min = -30; • lon_max = 0;

  14. Color bar is FMF Color bar is AOD

  15. Seeking Suggestion • How to understand FMF feature over dust outflow region? • What else we can do to link aerosol product and CO from satellites measurements?

More Related