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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 http://geo.arc.nasa.gov/AATS-website / email: [email protected]

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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Page 1: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

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

http://geo.arc.nasa.gov/AATS-website/

email: [email protected]

Page 2: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

Outline A discourse on cloud edge aerosol retrievals

Goal: To devise a new, multi-instrument methodology to derive vertical

structure of F(z)

1. CALIOP observations of aerosol backscatter/extinction profiles

2. MODIS full column AOD (and cloud screening)

3. OMI aerosol absorption optical depth

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

Page 3: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

A discourse on cloud edge aerosol retrievals

Page 4: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

2007 A-Train Conference, Lille, FR2007 A-Train Conference, Lille, FR

Page 5: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

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

Page 6: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

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

Subtracted cloud-adjacent pixels in along-scan direction

Page 7: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

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

Page 8: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,
Page 9: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,
Page 10: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,
Page 11: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,
Page 12: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

CALIPSO (5km)CALIPSO (1km)

CALIPSO (333m)

MOD35 (1km)

MOD04 std3x3 (500m)

Comparison of cloud detection: MODIS vs. CALIOP

Page 13: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

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. Alt_top_aerosol > Alt_top_cloud

2. EQC532_flag = 0 or 1

3. Integrated attenuated backscatter @ 532 <=0.011

Stratify by MODIS cloud fraction

Break down geographically

Page 14: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,
Page 15: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

Alt_top_aerosol > Alt_top_cloud

Page 16: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

All three quality controls

Page 17: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,
Page 18: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,
Page 19: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

Zonal dist. of CALIPSO and MODIS aerosol retrievals

Page 20: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

Zonal dist. of QC CALIPSO and MODIS aerosol retrievals

Page 21: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,
Page 22: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

Zonal dist. of CALIPSO and MODIS AOD

Page 23: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

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

Page 24: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

2007 LMU, Redemann2007 LMU, Redemann

Page 25: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

n= 57 r2 = 0.001y = 0.054 x + 0.116rms= 0.140, 132.3 %M aod = 0.106C aod = 0.122

n= 405 r2 = 0.063y = 0.822 x + 0.066rms= 0.148, 181.6 %M aod = 0.082C aod = 0.133

n= 548 r2 = 0.031y = 0.561 x + 0.072rms= 0.217, 131.2 %M aod = 0.165C aod = 0.164

n= 116 r2 = 0.000y = 0.014 x + 0.103rms= 0.286, 121.0 %M aod = 0.236C aod = 0.107

n= 59 r2 = 0.006y = 0.037 x + 0.077rms= 0.150, 152.9 %M aod = 0.098C aod = 0.081

n= 427 r2 = 0.015y = 0.415 x + 0.085rms= 0.141, 146.6 %M aod = 0.096C aod = 0.125

n= 707 r2 = 0.175y = 0.728 x + 0.043rms= 0.175, 100.6 %M aod = 0.174C aod = 0.169

n= 75 r2 = 0.024y = 0.155 x + 0.026rms= 0.187, 113.4 %M aod = 0.165C aod = 0.051

n= 71 r2 = 0.001y = 0.026 x + 0.084rms= 0.117, 120.7 %M aod = 0.097C aod = 0.086

n= 464 r2 = 0.038y = 0.560 x + 0.077rms= 0.168, 155.1 %M aod = 0.108C aod = 0.137

n= 1210 r2 = 0.111y = 0.660 x + 0.098rms= 0.254, 125.6 %M aod = 0.202C aod = 0.231

n= 267 r2 = 0.002y = 0.086 x + 0.115rms= 0.304, 135.6 %M aod = 0.224C aod = 0.135

n= 61 r2 = 0.009y = 0.078 x + 0.055rms= 0.071, 81.6 %M aod = 0.086C aod = 0.062

n= 441 r2 = 0.110y = 0.548 x + 0.034rms= 0.106, 91.7 %M aod = 0.115C aod = 0.097

n= 591 r2 = 0.151y = 0.237 x + 0.143rms= 0.250, 92.3 %M aod = 0.271C aod = 0.207

n= 154 r2 = 0.015y = 0.344 x + 0.052rms= 0.290, 172.4 %M aod = 0.168C aod = 0.109

n= 41 r2 = 0.063y = -0.342 x + 0.109rms= 0.112, 114.8 %M aod = 0.098C aod = 0.076

n= 362 r2 = 0.025y = 0.407 x + 0.074rms= 0.154, 157.9 %M aod = 0.098C aod = 0.114

n= 900 r2 = 0.350y = 0.826 x + 0.038rms= 0.186, 65.5 %M aod = 0.284C aod = 0.273

n= 0 r2 = NaNy = 0.000 x + 0.000rms= 0.000, NaN %M aod = NaNC aod = NaN

n= 95 r2 = 0.046y = 0.513 x + 0.051rms= 0.090, 126.6 %M aod = 0.071C aod = 0.087

n= 363 r2 = 0.084y = 0.547 x + 0.068rms= 0.110, 144.8 %M aod = 0.076C aod = 0.109

n= 925 r2 = 0.046y = 0.266 x + 0.113rms= 0.247, 105.8 %M aod = 0.233C aod = 0.175

n= 149 r2 = 0.000y = 0.004 x + 0.101rms= 0.496, 146.1 %M aod = 0.339C aod = 0.102

Longitude

Latit

ude

AOD scatter info.,2007-04,Ocean Only,3-QC

180oW 120oW 60oW 0o 60oE 120oE 180oW

80oS

40oS

0o

40oN

80oN

Geographical distribution of correlation data, all cloud fractions

Page 26: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

n= 16 r2 = 0.530y = 1.278 x + 0.015rms= 0.052, 71.5 %M aod = 0.073C aod = 0.109

n= 42 r2 = 0.199y = 0.829 x + 0.023rms= 0.050, 82.0 %M aod = 0.061C aod = 0.074

n= 54 r2 = 0.283y = 0.780 x + 0.001rms= 0.078, 67.0 %M aod = 0.117C aod = 0.092

n= 14 r2 = 0.165y = 0.274 x + 0.001rms= 0.126, 82.8 %M aod = 0.152C aod = 0.042

n= 25 r2 = 0.667y = 1.167 x + 0.006rms= 0.041, 69.6 %M aod = 0.058C aod = 0.074

n= 75 r2 = 0.169y = 0.507 x + 0.036rms= 0.050, 64.7 %M aod = 0.078C aod = 0.075

n= 234 r2 = 0.629y = 0.985 x + -0.020rms= 0.088, 53.7 %M aod = 0.164C aod = 0.142

n= 10 r2 = 0.005y = 0.016 x + 0.014rms= 0.107, 101.5 %M aod = 0.105C aod = 0.016

n= 27 r2 = 0.304y = 1.437 x + 0.000rms= 0.097, 128.3 %M aod = 0.076C aod = 0.109

n= 64 r2 = 0.011y = 0.141 x + 0.068rms= 0.066, 92.5 %M aod = 0.071C aod = 0.078

n= 212 r2 = 0.610y = 0.847 x + -0.004rms= 0.083, 52.1 %M aod = 0.159C aod = 0.131

n= 88 r2 = 0.418y = 0.433 x + 0.005rms= 0.154, 67.8 %M aod = 0.227C aod = 0.104

n= 20 r2 = 0.232y = 0.800 x + 0.022rms= 0.030, 52.5 %M aod = 0.057C aod = 0.067

n= 85 r2 = 0.305y = 0.559 x + 0.022rms= 0.050, 64.3 %M aod = 0.078C aod = 0.066

n= 264 r2 = 0.553y = 0.638 x + 0.026rms= 0.130, 52.0 %M aod = 0.250C aod = 0.186

n= 89 r2 = 0.334y = 0.342 x + 0.001rms= 0.118, 77.2 %M aod = 0.153C aod = 0.053

n= 11 r2 = 0.461y = 0.560 x + 0.027rms= 0.032, 43.2 %M aod = 0.075C aod = 0.069

n= 67 r2 = 0.250y = 0.944 x + 0.020rms= 0.066, 92.0 %M aod = 0.072C aod = 0.088

n= 293 r2 = 0.633y = 1.053 x + -0.023rms= 0.114, 38.9 %M aod = 0.292C aod = 0.285

n= 0 r2 = NaNy = 0.000 x + 0.000rms= 0.000, NaN %M aod = NaNC aod = NaN

n= 35 r2 = 0.175y = 0.694 x + 0.028rms= 0.049, 81.8 %M aod = 0.061C aod = 0.070

n= 93 r2 = 0.455y = 0.858 x + 0.022rms= 0.042, 87.3 %M aod = 0.048C aod = 0.063

n= 185 r2 = 0.415y = 0.583 x + 0.035rms= 0.116, 55.5 %M aod = 0.210C aod = 0.157

n= 45 r2 = 0.522y = 0.430 x + -0.003rms= 0.148, 72.1 %M aod = 0.205C aod = 0.085

Longitude

Latit

ude

AOD scatter info.,2007-04,Ocean Only,3-QC,FOC<0.01

180oW 120oW 60oW 0o 60oE 120oE 180oW

80oS

40oS

0o

40oN

80oN

Geographical distribution of correlation data, cloud fractions < 1%

Page 27: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,
Page 28: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,
Page 29: A Progress Report on Combining MODIS and CALIPSO Aerosol Data for Direct Radiative Effect Studies Jens Redemann, Qin Zhang, Philip Russell, John Livingston,

2007 LMU, Redemann2007 LMU, Redemann

Conclusions1) 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