A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

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Presentation transcript:

A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston, Mark Vaughan BAERI –NASA Ames – SRI – SSAI

Outline   A discourse on cloud edge aerosol retrievals   Goal: To devise a new, multi-instrument methodology to derive vertical structure of  F(z) CALIOP observations of aerosol backscatter/extinction profiles 2. 2.MODIS full column AOD (and cloud screening) OMI aerosol absorption optical depth 4. 4.Satellite flux measurements (CERES-like)   First step: find commonalities between coincident and collocated MODIS- Aqua and CALIPSO observations   Study examples of cloud screening/detection methods   Make detailed comparisons of instantaneously collocated MODIS and CALIPSO AOD retrievals, April 2007   Purpose: Provide input for CALIPSO aerosol extinction retrieval algorithm team & define a suitable data sets for combined analysis   Conclusions

A discourse on cloud edge aerosol retrievals

2007 A-Train Conference, Lille, FR

MODIS (500m) 553nm-AOD versus airborne sunphotometer

Subtracted cloud-adjacent pixels in along-scan direction

MODIS (500m) 1240nm-AOD versus airborne sunphotometer

CALIPSO (5km) CALIPSO (1km) CALIPSO (333m) MOD35 (1km) MOD04 std3x3 (500m) Comparison of cloud detection: MODIS vs. CALIOP

Aerosol Optical Depth comparisons   One month of data, April 2007   Use CALIPSO 40km-avg. aerosol extinction profiles, and 5km aerosol and cloud layer products   Find all (up to 4) instantaneously collocated, MYD04_L2 10x10km aerosol retrievals traversed by CALIPSO track   Focus on over-ocean only   Apply three CALIPSO profile quality criteria: 1. 1.Alt_top_aerosol > Alt_top_cloud 2. 2.EQC532_flag = 0 or Integrated attenuated 532 <=0.011   Stratify by MODIS cloud fraction   Break down geographically

Alt_top_aerosol > Alt_top_cloud

All three quality controls

Zonal dist. of CALIPSO and MODIS aerosol retrievals

Zonal dist. of QC CALIPSO and MODIS aerosol retrievals

Zonal dist. of CALIPSO and MODIS AOD

Important: subset of MODIS AOD along CALIPSO track has same zonal mean as global MODIS AOD => CALIPSO likely samples representative subset

2007 LMU, Redemann

Geographical distribution of correlation data, all cloud fractions

Geographical distribution of correlation data, cloud fractions < 1%

2007 LMU, Redemann Conclusions 1)Different cloud screening techniques in MODIS and CALIPSO aerosol algorithms produce very different results, making search for collocated data complicated. 2)April 2007 AOD comparisons: Total CALIPSO: ~ 195,000 Valid CALIPSO AOD: ~ 64,000 Valid CALIPSO and collocated MODIS AOD: ~32,000 Valid QC’ed CALIPSO and collocated MODIS AOD: ~8,500 Valid QC’ed CALIPSO and collocated MODIS AOD, FOC<1%: ~2,000 3)Most data between 0-20N 4)For “clear” conditions (FOC<1%), correlation is starting to look decent, with CALIPSO AOD lower than MYD04_L2 by about 20% 5)Largest disagreement between MODIS and CALIPSO at 30-80N 6)MODIS data collocated with CALIPSO has same zonal mean AOD as entire MODIS data set => CALIPSO likely samples representative subset