constraints on the sources of arctic co from airs arctas
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ConstraintsonthesourcesofArcticCOfrom AIRS,ARCTAS,andtheGEOSChemmodel JennyA.Fisher HarvardUniversity DanielJacob,MonikaKopacz,MeghanPurdy


  1. Constraints
on
the
sources
of
Arctic
CO
from
 AIRS,
ARCTAS,
and
the
GEOS‐Chem
model
 Jenny
A.
Fisher
 Harvard
University
 Daniel
Jacob,
Monika
Kopacz,
Meghan
Purdy 
 Claire
Carouge,
Philippe
Le
Sager,
Bob
Yantosca 
 
 
 Harvard
University 
 Wallace
McMillan,
Juying
Warner 
 
 
 
 
 
 U.
Maryland,
Baltimore
County 
 Glenn
Diskin 
 
 
 
 
 
 
 
 
 
 
 NASA
Langley
Research
Center 
 Edward
Hyer 
 
 
 
 
 
 
 
 
 
 
 UCAR/Naval
Research
Laboratory
 Rebecca
Batchelor 
 
 
 
 
 
 
 
 
 University
of
Toronto
 Henry
Fuelberg 
 
 
 
 
 
 
 
 
 
 Florida
State
University
 NASA
Sounding
Science
Team
Meeting
 May
5,
2009


  2. GOAL:
Assess
pollution
transport
to
the
Arctic
using
AIRS
 combined
with
ARCTAS
aircraft
data
and
GEOS‐Chem
model
 
 Motivation :
Arctic
is
a
known
receptor
of
midlatitudes
pollution,
but
sources
and
transport
 pathways
are
uncertain 
 NOAA
 Approach :
Integrated
analysis
of
carbon
monoxide
(CO)
from:
 1. AIRS
 –
Version
5
Level
2
CO
columns,
daytime
observations
only,
gridded
to
2°x2.5°
 model
resolution
 2. GEOS‐Chem 
–
Chemical
transport
model
(CTM),
simulated
CO
is
convolved
with
AIRS
 averaging
kernels 
 3. ARCTAS 
–
NASA
aircraft
campaign
during
April
2008,
based
in
Fairbanks,
AK
 Jenny
Fisher
























































































NASA
Sounding
Science
Team
Meeting,
5/5/09


  3. AIRS
is
a
promising
dataset
for
high‐latitude
analysis
 Gridded
AIRS
CO
column
on
4/17/08
 Substantial
polar
coverage
on
a
daily
basis
 Less
inhibited
by
pervasive
Arctic
cloudiness
 than
other
satellite
instruments
 High
degrees
of
freedom
for
signal
(DOFS),
even
 in
high
latitudes
(DOFS
>
0.5
shown
here)
 Promising
for
the
Arctic,
but
how
does
AIRS
CO
 compare
to
other
satellite
observations?
 Test
with
comparison
via
GEOS‐Chem
CTM
 Jenny
Fisher
























































































NASA
Sounding
Science
Team
Meeting,
5/5/09


  4. AIRS
CO
column
is
generally
consistent
globally
with
other
satellite
 data
sets
 4 DOFS
 1.5
 AIRS
 MOPITT
 TES
 3 GEOS‐Chem
CTM
 2 1.0
 1 
r 

 =
0.85
 
r 

 =
0.81
 


r 

 =
0.91


















 slope
0.71
 slope
0.76
 slope
0.88
 0.5
 300 4 SCIAMACHY
 SCIAMACHY
 GMD
&
 (Bremen)
 (SRON)
 MOZAIC
 GEOS‐Chem
CTM
 3 200 2 100 1 


r 

 =
0.54


















 


r 

 =
0.82


















 r 

 =
0.49


















 slope
0.62
 slope
0.78
 slope
0.82
 1 2 3 4 1 2 3 •10 18 molec/cm 2 100 200 300 ppb Courtesy
M.
Kopacz
 Jenny
Fisher
























































































NASA
Sounding
Science
Team
Meeting,
5/5/09


  5. The
datasets
are
less
consistent
and
show
higher
biases
in
 Northern
Hemisphere
spring
 Percent
Difference
(Data
–
Model)
 Highest
AIRS
vs.
model
 difference
in
NH
spring
 Higher
AIRS
vs.
MOPITT
 discrepancy
in
NH
Spring
 Most
consistency
of
all
 instruments
without
 spring
data
 Courtesy
M.
Kopacz
 In
general,
the
different
instruments
(especially
AIRS
&
MOPITT)
are
consistent
and
 all
show
a
low
bias
in
GEOS‐Chem,
especially
in
spring.
 Jenny
Fisher
























































































NASA
Sounding
Science
Team
Meeting,
5/5/09
 Jenny
Fisher
























































































NASA
Sounding
Science
Team
Meeting,
5/5/09


  6. ARCTAS
(2008)
provided
a
unique
dataset
for
polar
analysis
 ARCTAS
 Arctic
Research
of
the
Composition
of
the
Troposphere
from
Aircraft
and
Satellites
 Coordinated
aircraft
campaign
(NASA
+
NOAA
+
DOE
+
Europeans
+
…
)
 Simultaneous
intensive
surface
sampling
 Focus
on
validation
of
polar‐orbiting
satellites,
including
AIRS
 Jenny
Fisher
























































































NASA
Sounding
Science
Team
Meeting,
5/5/09


  7. Intense,
early
fires
in
Russia
led
to
high
CO
in
April
2008
 GEOS‐Chem
CO
emissions
 MODIS
fire
counts
 •
=
April
 Fire
Pixel
Counts
 1σ
 mean
 2002




2003




2004




2005




2006




2007




2008
 NASA
Goddard
Earth
Sciences
Data
and
Information
Services
Center
 Jenny
Fisher
























































































NASA
Sounding
Science
Team
Meeting,
5/5/09


  8. GEOS‐Chem
showed
low
bias
relative
to
in‐situ
observations
 GEOS‐Chem
and
aircraft
profiles
 GEOS‐Chem
and
ground‐based
FTIR
 columns
at
Eureka
 Jenny
Fisher
























































































NASA
Sounding
Science
Team
Meeting,
5/5/09


  9. GEOS‐Chem
showed
low
bias
relative
to
in‐situ
observations
 GEOS‐Chem
and
aircraft
profiles
 GEOS‐Chem
and
ground‐based
FTIR
 GEOS‐Chem
Source
adjustments:
 columns
at
Eureka
 North
American
pollution 
 
1.04
 European
pollution 
 
 
1.39
 Asian
pollution 
 
 
 
1.23
 Russian
biomass
burning 
 
0.21
 Asian
biomass
burning 
 
 
0.32
 Jenny
Fisher
























































































NASA
Sounding
Science
Team
Meeting,
5/5/09


  10. Even
with
source
adjustment,
GEOS‐Chem
is
lower
than
AIRS
 throughout
Arctic
and
midlatitudes
 AIRS
 GEOS‐Chem
 %
Diff.
 ‐20 
 




0 
 


20

%
 Difference
likely
reflects
known
high
bias
in
AIRS
CO
 Largest
bias
over
Russian
fire
region
  
source
adjustment
too
severe?
 Lowest
bias
over
North
American
Arctic
(i.e.
ARCTAS
region)
 Jenny
Fisher
























































































NASA
Sounding
Science
Team
Meeting,
5/5/09


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