Title: Lorraine Remer, Yoram Kaufman, Didier Tanr
1Towards a global aerosol climatology using MODIS
observations
Mean Terra AOT Oct 2000 -Oct 2005, courtesy GDAAC
MOVAS web site
Lorraine Remer, Yoram Kaufman, Didier Tanré Shana
Mattoo, Richard Kleidman, Robert Levy Vanderlei
Martins, Allen Chu, Charles Ichoku, Rong-Rong Li,
Ilan Koren
2February 2006 marks the 6th anniversary of
our first look at MODIS aerosol
products.
What have we learned? - about the product
- about global aerosols What do we still need to
do? How do we use an aerosol climatology in the
larger context of predicting climate change?
3What have we learned -- about the product?
Excellent validation, globally, with collocated
data.
(when both AERONET and MODIS report)
Remer et al. (2005)
4What have we learned -- about the ocean product?
?MOD - ?AER increases with cloud fraction
But MODIS and AERONET AngExp track together
Cirrus contamination over oceans contributes
0.015 in AOT
Kaufman et al. (2005)
5What have we learned -- about the ocean product?
Even without the benefits of collocation in time
AOT is well-correlated with AERONET
Kaufman et al. (2005)
6What have we learned -- about the ocean product?
Fine mode fraction also correlates well
against two derivations from AERONET.
Kleidman et al. (2005)
7What have we learned -- about the ocean product?
N486
Terras and Aquas estimate of global AOT agree
to better than 1
Remer, Kaufman, Kleidman
8What have we learned -- about the ocean product?
- POLDER/ADEOS-2 and MODIS/TERRA comparison
- Equator Crossing Time /- 5mns apart between
- both instruments (10 days every
month). - 30 coincident orbits (40 000 points) from
- May to October 2003.
- Representative of typical geographical zones.
- POLDER resolution 20km2
- MODIS resolution 10km2.
9MODIS vs. POLDER
Coarse mode, non-Spherical, gt70
Fine mode gt70
Coarse mode, Spherical, gt70
OVER OCEAN Gerard et al. 2005
10What have we learned -- about the ocean product?
- excellent validation of the inversion
- -beginning to validate the product (aot and size)
- -0.015 of the global aot over ocean is cirrus
- -other cloud contamination is less obvious
- -excellent agreement between Terra and Aqua (1)
- -excellent agreement between MODIS and POLDER
- for spherical particles and less so for
non-spherical
11What have we learned -- about global aerosols?
AOT
90
Ang
mean
FF
33
10
Kleidman,Kaufman,Remer
12What have we learned about global aerosols?
13What have we learned about global aerosols?
14What do we still need to do?
LAND
- new inversion scheme for better fine mode
weighting - - new aerosol models and distribution (Dubovik
2002) - - new land surface parameterization (MVI and
geometry) - - allowing negative retrievals
15Elimination of Snow Contamination
Li et al. (2005)
16What do we still need to do?
17What do we still need to do?
Old New
Testbed mean AOT 0.27 0.19
Testbed negative 0 7.5
Testbed x lt -0.05 0 2
Golden mean AOT 0.16 0.07
Golden negative 0 22
Golden x lt -0.05 0 11
Testbed 100 images, several days Golden1
complete day (November)
We intend to be ready with a final new algorithm
within weeks. Then we need to negotiate
intercepting the Collection 005 reprocessing.
18How do we use the product?
Using MODIS retrievals consistently as input to a
RT model, we can accurately estimate aerosol
direct radiative effect.
Ocean DRE -5.0 to -5.5 Wm-2
Remer and Kaufman (2006)
19In just the past 6 weeks, there have been 5
papers either just published or just accepted
that use MODIS aerosol products to make estimates
of the aerosol direct radiative effect or
forcing on climate.
Bellouin et al., in Nature Kaufman et al., in
GRL Chung, Ramanathan et al., in JGR Yu et al.,
in ACP Remer and Kaufman, in ACP
Atmospheric physics Reflections on aerosol
cooling p1091 of the NY Times By changing the
composition of Earth's atmosphere, human activity
has both a warming and a cooling effect on the
planet. According to new calculations, that
latter influence is large, but it is likely to
be declining. Jim Coakley