1
NASA Goddard Institute for Space Studies New York, NY 10025 Using MODIS AQUA Collection 5 data to Constrain GISS ModelE Aerosol Climatology - Preliminary Results Li Liu a,b , Andrew A. Lacis b , Dorothy Koch a,b ,Barbara E. Carlson b a Columbia University, New York, NY 10025 b NASA Goddard Institute for Space Studies, New York, NY 10025 Abstract Results and Analyses 2002 2003 2004 2005 2006 2007 0 0.1 0.2 0.3 0.4 0.5 AOD Over Land MODIS AQUA Data (Black: Collection 5; Red: Collection 4) 2002 2003 2004 2005 2006 2007 0 0.1 0.2 0.3 AOD Over Ocean 2002 2003 2004 2005 2006 2007 0.5 1 1.5 2 2.5 ANGSTR Over Land G loba l Northern Hemisphere S outhern Hemisphere B lack: C ollection 5; R ed: C ollection 4 2002 2003 2004 2005 2006 2007 0 0.5 1 1.5 ANGSTR Over Ocean Year Figure 1. Time series of the global mean values of the aerosol optical depth (top two panels) and Ang- strom exponent (bottom two panels) for MODIS AQUA Collection 5 (black curves) and Collection 4 (red curves) data. 90 o S 60 o S 30 o S EQ 30 o N 60 o N 90 o N DL 120 o W 60 o W CM 60 o E 120 o E DL South Ocean S Africa Sahel S America Persian Sahara EC Pacific N Pacific E USA N Atlantic W Europe NW Africa N Pacific E Asia J F M A M J J A S O N D 0 0.1 0.2 0.3 0.4 Land Aerosol Optical Depth Over Land (45 S - 45 o N) J F M A M J J A S O N D 0 0.05 0.1 0.15 0.2 Ocean GCM - New aerosol fields GCM - Old aerosol fields AQUA Collection 5 Aerosol Optical Depth Over Ocean (45 o N) o o S - 45 Figure 2. S easonal dependence of area weighted overall monthly mean aerosol optical depth from different data sources. Data over land (left panel) and over ocean (right panel) have been constrained between the 45 degree south and north latitudinal band. J F M A M J J A S O N D 0 0.5 1 1.5 2 Angstrom E xponent Over Land (45 o S - 45 o N) Land J F M A M J J A S O N D 0 0.5 1 1.5 2 GCM - New aerosol fields GCM - Old aerosol fields AQUA Collection 5 Angstrom E xponent Over Ocean S - 45 o N) Ocean (45 o Figure 3. S ame as Fig. 2, but the averaged data are for the Angstrom exponent. Figure 4. R egions selected for comparison of GC M aerosol climatology with MODIS AQUA data. 0 0.1 0.2 0.3 0.4 NW Africa τ(0.55 μm) 0 0.2 0.4 0.6 0.8 Persian 0 0.2 0.4 0.6 S Africa 0 0.3 0.6 0.9 1.2 Sahel 0 0.2 0.4 0.6 East Asia τ(0.55 μm) 0 0.1 0.2 0.3 0.4 E USA 0 0.1 0.2 0.3 0.4 W E urope 0 0.1 0.2 0.3 0.4 N Atlantic 0 0.1 0.2 0.3 0.4 N Pacific τ(0.55 μm) 0 0.05 0.1 0.15 0.2 C Pacific 0 0.1 0.2 0.3 S outh Ocean 0 0.1 0.2 0.3 S outh Ocean 0 0.25 0.5 0.75 1 Sahara τ(0.55μ m) 0 0.2 0.4 0.6 0.8 Persian 0 0.2 0.4 0.6 S Africa 0 0.3 0.6 0.9 1.2 Sahel 0 0.2 0.4 0.6 0.8 S America τ(0.55 μm) J F M A M J J A S O N D 0 0.2 0.4 0.6 E USA J F M A M J J A S O N D 0 0.1 0.2 0.3 0.4 W E urope J F M A M J J A S O N D 0 0.2 0.4 0.6 0.8 East Asia J F M A M J J A S O N D 0 0.1 0.2 0.3 S outh Ocean τ(0.55 μm) J F M A M J J A S O N D 0 0.1 0.2 0.3 S outh Ocean GCM New GCM Old AQUA C5 NOTE : Top three rows present the aerosol optical depths averaged over the water surface while the bottom three are the τ averages over the land area for each region s hown in F ig.4. 0 0.5 1 1.5 2 NW Africa A 0 0.5 1 1.5 2 Persian 0 0.5 1 1.5 2 2.5 S Africa 0 0.5 1 1.5 2 Sahel 0 0.5 1 1.5 2 East Asia A 0 0.5 1 1.5 2 E USA 0 0.5 1 1.5 2 W E urope 0 0.5 1 1.5 2 N Atlantic 0 0.5 1 1.5 N Pacific A 0 0.5 1 1.5 2 C Pacific 0 0.25 0.5 0.75 1 S outh Ocean 0 0.25 0.5 0.75 1 S outh Ocean 0 1 2 3 Sahara A 0 1 2 3 Persian 0 1 2 3 S Africa 0 1 2 3 Sahel 0 1 2 3 S America A J F M A M J J A S O N D 0 1 2 3 E USA J F M A M J J A S O N D 0 1 2 3 W E urope J F M A M J J A S O N D 0 1 2 3 East Asia J F M A M J J A S O N D 0 1 2 3 S outh Ocean A J F M A M J J A S O N D 0 1 2 3 S outh Ocean GCM New GCM Old AQUA C5 NOTE : Top three rows present the Angstrom E xponents averaged over the water surface while the bottom three are the A averages over the land area for each region s hown in F ig.4. Figure 5. R egional analysis of overall monthly mean aerosol optical depth averaged over the various aerosol regimes shown in Fig.4. Averages are computed over water surfaces (top three rows) and land areas (bottom three rows) if the designated area contains both land and water masses. Figure 6. As in Fig. 5, but for seasonal dependence of overall monthly mean Angstrom exponent at different places shown in Fig.4. J F M A M J J A S O N D 0 0.1 0.2 0.3 0.4 τ(0.55 μ m) GCM New Aerosol Fields F itted G C M AQUA C ollection 5 J F M A M J J A S O N D 0 0.05 0.1 0.15 0.2 0.25 τ(0.55 μm) S ulfa te 0.89 Sea Salt 0.40 Dust 0.98 OC 0.68 BC 1.51 Figure 7. S caling factor for each aeros ol component to minimize the differences in annual mean aerosol optical depth between the GCM new fields [Koch, 2006] and MODIS AQUA Collection 5 data. Figure 8. Differences in annual mean aerosol optical depth between MODIS Aqua C ollection 5 data and the fitted G C M aerosol distribu- tion. The global area weighted mean is 0.0056. North P acific Figure 9. S easonal dependence of overall monthly mean aerosol optical depth (left panel) and the relative contributions of each principle aerosol component considered in the GC M [Koch, 2006] to the total AOD (right panel) over North P acific shown in Fig.4. The dotted curves present the relative contributions (times the scaling factors) of each principle aerosol species to the fitted GC M aerosol. R eferences S chmidt, G. A., (2006), Present-day atmospheric simu- lations using GIS S ModelE : comparison to in-situ, sate- llite, and reanalysis data, J. Climate, 19, 153-192, doi: 10.1175/JCLI3612.1. Liu, L., A. A. Lacis, B. E. Carlson, M. I. Mishchenko, and B. Cairns (2006), Assessing GISS ModelE aerosol clima- tology using satellite and ground-based measurements: A comparison study, J. Geophys. Res., in press. A physically based aerosol climatology is essential to address the questions of global climate changes. The previous comparisons of the GIS S ModelE aerosol with satellite and ground-based measurements [Liu et al., 2006] show that the agreement in the distributions of global optical depth between G C M aerosols and satellite data is quali- tatively reasonable. However the Angstrom exponent of the GCM aerosol is clearly biased low compared to satellite data, implying that the GC M aerosol sizes are over- estimated. C onsequently, the aerosol size distributions specified in the latest ModelE aerosol fields provided by Koch [2006, personal communications] are reduced. In this study we compare the newly available MODIS AQUA Collection 5 Level 3 quality assured monthly averaged data available from July 2002 to July 2006 with both the old that we used in Liu et al. [2006] and the new aerosol fields [Koch, 2006, personal communication]. C ompared to MODIS AQUA C ollection 4 data, the aerosol optical depth distributions are improved, particularly over land. The Angstrom exponent va- lues are significantly smaller both over land and over ocean. We also present in the study preliminary results of the improved G C M aerosol climatology using the MODIS AQUA Collection 5 retrievals as constraints. WC Pacific

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Page 1: NASA Goddard Institute for Space Studies Using MODIS AQUA ... · New York, NY 10025 Using MODIS AQUA Collection 5 data to Constrain GISS ModelE Aerosol Climatology - Preliminary Results

NASA Goddard Institute for Space StudiesNew York, NY 10025

Using MODIS AQUA Collection 5 data to Constrain GISS ModelE Aerosol Climatology - Preliminary ResultsLi Liua,b, Andrew A. Lacisb, Dorothy Koch a,b,Barbara E. Carlsonb

aColumbia University, New York, NY 10025 bNASA Goddard Institute for Space Studies, New York, NY 10025

Abstract

Results and Analyses

2002 2003 2004 2005 2006 20070

0.1

0.2

0.3

0.4

0.5

AO

D O

ver

La

nd

MODIS AQUA Data (B lack: C ollection 5; R ed: C ollection 4)

2002 2003 2004 2005 2006 20070

0.1

0.2

0.3

AO

D O

ver

Oce

an

2002 2003 2004 2005 2006 20070.5

1

1.5

2

2.5

AN

GS

TR

Ove

r L

an

d

G lobalNorthern HemisphereS outhern Hemisphere

B lack: C ollection 5; R ed: C ollection 4

2002 2003 2004 2005 2006 20070

0.5

1

1.5

AN

GS

TR

Ove

r O

cea

n

Y ear

F igure 1. T ime series of the global mean values of the aerosol optical depth (top two panels ) and Ang-strom exponent (bottom two panels ) for MODIS AQUA C ollection 5 (black curves) and C ollection 4 (red curves) data.

WC Pacific

90oS

60oS

30oS

E Q

30oN

60oN

90oN

DL 120oW 60oW C M 60oE 120oE DL

South Ocean

S Africa

Sahel

S America

PersianSahara

EC Pacific

N Pacific

E USA

N Atlantic

W Europe

NW Africa

N Pacific

E Asia

J F M A M J J A S O N D 0

0.1

0.2

0.3

0.4

Land

Ae

ros

ol

Op

tic

al

De

pth

Ov

er

La

nd

(4

5 S

− 45

oN

)

J F M A M J J A S O N D 0

0.05

0.1

0.15

0.2

Ocean

G C M − New aerosol fieldsG C M − Old aerosol fieldsAQUA C ollection 5

Ae

ros

ol

Op

tic

al

De

pth

Ov

er

Oc

ea

n (

45

oN

)

o

oS

−4

5

F igure 2. S easonal dependence of area weighted overall monthly mean aerosol optical depth from different data sources . Data over land (left panel) and over ocean (right panel) have been constrained between the 45 degree south and north latitudinal band.

J F M A M J J A S O N D 0

0.5

1

1.5

2

An

gs

tro

m E

xp

on

en

t O

ve

r L

an

d (

45o

S−

45

oN

)

Land

J F M A M J J A S O N D 0

0.5

1

1.5

2

G C M − New aerosol fields

G C M − Old aerosol fields

AQUA C ollection 5

An

gs

tro

m E

xp

on

en

t O

ve

r O

ce

an

S

− 45

oN

)

Ocean

(45

o

F igure 3. S ame as F ig. 2, but the averaged data are for the Angstrom exponent.F igure 4. R egions selected for comparison of G C M aerosol climatology with MODIS AQUA data.

0

0.1

0.2

0.3

0.4NW Africa

τ(0

.55

µm)

0

0.2

0.4

0.6

0.8P ers ian

0

0.2

0.4

0.6S Africa

0

0.3

0.6

0.9

1.2S ahel

0

0.2

0.4

0.6E ast As ia

τ(0

.55

µm)

0

0.1

0.2

0.3

0.4E US A

0

0.1

0.2

0.3

0.4W E urope

0

0.1

0.2

0.3

0.4N Atlantic

0

0.1

0.2

0.3

0.4N P acific

τ(0

.55

µm)

0

0.05

0.1

0.15

0.2C P acific

0

0.1

0.2

0.3S outh Ocean

0

0.1

0.2

0.3S outh Ocean

0

0.25

0.5

0.75

1S ahara

τ(0

.55µ

m)

0

0.2

0.4

0.6

0.8P ers ian

0

0.2

0.4

0.6S Africa

0

0.3

0.6

0.9

1.2S ahel

0

0.2

0.4

0.6

0.8S America

τ(0

.55

µm)

J F M A M J J A S O N D 0

0.2

0.4

0.6E US A

J F M A M J J A S O N D 0

0.1

0.2

0.3

0.4W E urope

J F M A M J J A S O N D 0

0.2

0.4

0.6

0.8E ast As ia

J F M A M J J A S O N D 0

0.1

0.2

0.3S outh Ocean

τ(0

.55

µm)

J F M A M J J A S O N D 0

0.1

0.2

0.3S outh Ocean

G C M NewG C M OldAQUA C 5

NOT E : T op three rows present the aerosol optical depthsaveraged over the water surface while the bottom threeare the τ averages over the land area for each regionshown in F ig.4.

0

0.5

1

1.5

2NW Africa

A

0

0.5

1

1.5

2P ers ian

0

0.5

1

1.5

2

2.5S Africa

0

0.5

1

1.5

2S ahel

0

0.5

1

1.5

2E ast As ia

A

0

0.5

1

1.5

2E US A

0

0.5

1

1.5

2W E urope

0

0.5

1

1.5

2N Atlantic

0

0.5

1

1.5N P acific

A

0

0.5

1

1.5

2C P acific

0

0.25

0.5

0.75

1S outh Ocean

0

0.25

0.5

0.75

1S outh Ocean

0

1

2

3S ahara

A

0

1

2

3P ers ian

0

1

2

3S Africa

0

1

2

3S ahel

0

1

2

3S America

A

J F M A M J J A S O N D 0

1

2

3E US A

J F M A M J J A S O N D 0

1

2

3W E urope

J F M A M J J A S O N D 0

1

2

3E ast As ia

J F M A M J J A S O N D 0

1

2

3S outh Ocean

A

J F M A M J J A S O N D 0

1

2

3S outh Ocean

G C M NewG C M OldAQUA C 5

NOT E : T op three rows present the Angstrom E xponentsaveraged over the water surface while the bottom threeare the A averages over the land area for each regionshown in F ig.4.

F igure 5. R egional analys is of overall monthly mean aerosol optical depth averaged overthe various aerosol regimes shown in F ig.4. Averages are computed over water surfaces(top three rows) and land areas (bottom three rows) if the des ignated area contains both land and water masses .

F igure 6. As in F ig. 5, but for seasonal dependence of overall monthly mean Angstromexponent at different places shown in F ig.4.

C onclus ions and Discuss ions

J F M A M J J A S O N D 0

0.1

0.2

0.3

0.4

τ(0

.55

µ m

)

G C M New Aerosol F ieldsF itted G C MAQUA C ollection 5

J F M A M J J A S O N D 0

0.05

0.1

0.15

0.2

0.25

τ(0

.55

µm

)

S ulfate 0.89 S ea S alt 0.40

Dust 0.98 OC 0.68

B C 1.51

F igure 7. S caling factor for eachaerosol component to minimizethe differences in annual mean aerosol optical depth between theG C M new fields [K och, 2006] andMODIS AQUA C ollection 5 data.

F igure 8. Differences in annual mean aerosol optical depth betweenMODIS Aqua C ollection 5 data and the fitted G C M aerosol distribu-tion. T he global area weighted mean is 0.0056.

North P acific

F igure 9. S easonal dependence of overall monthly mean aerosol optical depth (left panel) and the relative contributions of each principle aerosol component cons idered in the G C M [K och, 2006] to the total AOD (right panel) over North P acific shown in F ig.4. T he dotted curves present the relative contributions (times the scaling factors ) of each principle aerosol species to the fitted G C M aerosol.

T he G IS S ModelE [S chmidt et al. , 2006] aerosol optical depth reasonably agree with the newly released MODIS AQUA C ollection 005 data, but the Angstrom E xponent is clearly biased low, implying that the aerosol s ize spe-cified in the G C M are overestimated.

T he new aerosol climatology [K och, 2006] shows some improvements , particularly in terms of the seasonality ofaerosol optical depth. B ut the Angstrom exponent is now too large. Increas ing organic carbon s ize would be app-ropriate to s tart with s ince the bias is greatest in biomass burning regions like S outh Africa, S outh America and S ahel.

We present preliminary results of the improved aerosoloptical depth distributions us ing the newly available MODIS AQUA C ollection 5 data as constraints .

R eferences

S chmidt, G . A., (2006), P resent-day atmospheric s imu-lations us ing G IS S ModelE : comparison to in-s itu, sate-llite, and reanalys is data, J . C limate, 19, 153-192, doi:10.1175/J C LI3612.1.

Liu, L., A. A. Lacis , B . E . C arlson, M. I. Mishchenko, andB . C airns (2006), Assess ing G IS S ModelE aerosol clima-tology us ing satellite and ground-based measurements : A comparison study, J . G eophys . R es ., in press .

A phys ically based aerosol climatology is essential to address the questions of global

climate changes . T he previous comparisons of the G IS S ModelE aerosol with satellite

and ground-based measurements [Liu et al. , 2006] show that the agreement in the

distributions of global optical depth between G C M aerosols and satellite data is quali-

tatively reasonable. However the Angstrom exponent of the G C M aerosol is clearly

biased low compared to satellite data, implying that the G C M aerosol s izes are over-

estimated. C onsequently, the aerosol s ize distributions specified in the latest ModelE

aerosol fields provided by K och [2006, personal communications] are reduced. In this

s tudy we compare the newly available MODIS AQUA C ollection 5 Level 3 quality

assured monthly averaged data available from J uly 2002 to J uly 2006 with both the

old that we used in Liu et al. [2006] and the new aerosol fields [K och, 2006, personal

communication]. C ompared to MODIS AQUA C ollection 4 data, the aerosol optical

depth distributions are improved, particularly over land. T he Angstrom exponent va-

lues are s ignificantly smaller both over land and over ocean. We also present in the

study preliminary results of the improved G C M aerosol climatology us ing the MODIS

AQUA C ollection 5 retrievals as constraints .

WC Pacific