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Remote Sensing of Atmospheric Trace Gases
Udo Frieß Institute of Environmental Physics University of Heidelberg, Germany
CREATE Summer School 2013 Lecture B, Wednesday, July 17
Remote Sensing of Atmospheric Trace Gases:
Outline
• Ground-Based Differential Optical Absorption
Spectroscopy (DOAS):
– The Beer-Lambert Law
– Multi-Axis DOAS
– Inverse modelling: Retrieval of trace gas and aerosol vertical
profiles from MAX-DOAS
– Longpath-DOAS
– Cavity-Enhanced DOAS
Why measuring Atmospheric
Trace Gases from the Ground?
University of
Heidelberg
Mean tropospheric NO2 column density (Sep 2007-Aug 2008) derived from GOME-2 spectra.
Steffen Beirle and Thomas Wagner, MPI Mainz.
Satellite Observations
• provide global distribution of atmospheric
trace gases
but
• only very limited information on the vertical
distribution of trace gases
• only one (or very few) measurement(s) per
day, always at (nearly) the same time
6 8 10 12 14 16
0.0
0.5
1.0
1.5
NO2 Profiles - Cabauw/Netherlands, 24.06.2009
Time [UTC]
Alti
tud
e [
km]
0.0
1.0
2.0
3.0
4.0
5.0
6.0N
O2 m
ixin
g r
atio
[p
pb
]
Ground-Based MAX-DOAS Observations
• provide vertical distribution of trace gases
in the planetary boundary layer
• high temporal resolution (~15 min.)
but
• measurements only at a single location
Absorption in the Earth‘s atmosphere
D
OA
S
Absorption spectra of trace gases
in the UV/Vis
300 400 500 600 700 800
Br2
ClO
OBrO
H2O
HONO
(CHO)2
HCHO
O2
O4
OClO
OIOI2
IOBrO
NO3
NO2SO
2
O3 Vis
Wavelength [nm]
O3 UV
(log)
Absorption of light by gases
Light source
(Sun, Lamp)
Diffraction grating
Spectrum
Detector
Electronic signal
400 450 500 550 600
Inte
nsity
Wavelength400 450 500 550 600
Inte
nsity
Wavelength
Absorbing gas
Electronic signal
The absorption strength (optical
density) depends on
• the concentration of the gas
• the length of the light path
• the ability of each molecule
to absorb light of a specific
wavelength (absorption
cross section)
The amount of gases along
a light path can be
determined using their
individual absorption
structure
Differential Optical Absorption Spectroscopy
- DOAS -
Assume a light beam traversing an infinitesimally
small air parcel containing a mixture of N gases
with concentrations i (i=1..N)
The extinction of light is described by the Beer-Lambert law:
L
i
airMieRaylii dssspTILI0
0 )()()()(),,(exp)(),(
I0,I: Incident and transmitted light intensity
k: Wavelength, pressure and temperature dependent absorption cross section of the kth absorber
Rayl: Rayleigh cross section
Mie: Mie cross section (scattering on particles with r>>)
Molecular absorption Scattering
Remote sensing of atmospheric trace gases:
Differential Optical Absorption Spectroscopy
(DOAS) When sampling the light intensity on a discrete wavelength grid k (and neglecting the pressure and temperature dependence of the absorption cross section), the Beer-Lambert law can be solved numerically by minimising
k i n
n
nikikk kcSII )()(ln)(ln 0
2
to determine the integrated concentrations along the light path (Differential Slant Column Density, dSCD):
ref
L
ii SdssdS 0
)(
The polynomial cnkn removes the broad-banded
spectral structure caused by Rayleigh- and Mie- scattering. Thus only compounds with high frequent absorption features can be detected. The high frequent parts of and are referred to as the differential absorption cross section and optical density ’ and ’. 350 355 360 365 370 375 380 385
-0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0
'( ) = ( ) - b ( )
B ' [
10
-19
cm
2 ]
[nm]
4.5
5.0
5.5
6.0
b ( )
( ) A
[1
0 -1
9 c
m 2
] The Optical Density is defined as
)(
)(ln)()(
0
I
IS
DOAS Analysis
• Simultaneous detection of
several trace gases
• Retrieval algorithm based
non-linear leas squares
algorithm
• Optical densities of less
than 5x10-4 can be detected
• Detection limit depends on
– residual noise
– light path length
– absorption cross section
– possible interference with
other species
340 345 350 355
-0.50.00.51.0
[nm]
Fit Residual
Spectrum
320
340
360
380
Polynomial
-10
-5
0
Ozone
-40
-30
Optical density [x10
-3]
NO2
-6
-4
-2
0
Formaldehyde
-4
-2
0
Ring
Multi-AXis Differential Optical Absorption
Spectroscopy (MAX-DOAS)
• Variation of SCD with solar
zenith angle (SZA) allows to
determine the stratospheric VCD
• Sequential measurements at
different elevation angle allow for
the retrieval of the trace gas
vertical distribution
• Measurements of an absorber
with known vertical distribution
(oxygen collision complex O4)
allow for the retrieval of aerosol
extinction profiles Trace gas or
A typical MAX-DOAS Instrument
BrO DSCDs OASIS Campaign, Barrow, AK, 2009
06.04.200907.04.2009
08.04.200909.04.2009
10.04.200911.04.2009
12.04.200913.04.2009
14.04.200915.04.2009
16.04.2009
0
2
4
6
-2
0
2
4
6
dS
CD
BrO
[10
14 m
ole
c/c
m2]
1.500
2.500
6.000
11.00
89.00
01°
02°
05°
10°
20°
90°
dS
CD
O4
[10
43 m
ole
c2/c
m5]
Elevation
angle
U-shaped profile
Stratospheric BrO Separation of elevation angles
Tropospheric BrO
Clear sky
Low visibility
Monte-Carlo Modelling of Radiative Transfer
• Aim: to model the transport of radiation
through the atmosphere as a function of:
– Trace gas vertical profiles
– Viewing geometry
– Atmospheric state (T, p, humidity,
aerosols, …)
• Modelled quantities are: – Radiances
– (Box- ) airmass factors
– Derivatives of measured quantities with
respect to atmospheric state parameters
Deutschmann et al., JQSRT, 2013
Forward modelling Backward modelling
Random sampling of photon paths
Simulation of the radiative transfer through broken clouds
Rayleigh
Cloud and aerosols
Absorption
Ground reflection
Retrieval of Trace Gas and Aerosol Vertical Profiles
Rel.
Intensity
Intensity
errors
O4
dSCDs
O4
errors
Aerosol Retrieval
Radiative Transfer Model
a priori
aerosol profile
a priori
covariance
Aerosol
profile
Aerosol opt.
properties
Retrieval
covariance
Trace gas
dSCDs
Trace gas
errors
Trace Gas Retrieval
Radiative Transfer Model
a priori
trace gas profile
a priori
covariance
Trace Gas
profile
Retrieval
covariance
DOAS
Analysis
Spectra
Example for Trace Gas and Aerosol Retrieval CINDI Campaign, Cabauw/Netherlands, 2009
NO2 dSCDs
NO2 Profiles
O4 dSCDs
Aerosol Profiles
06:00 09:00 12:00 15:00 18:00
0.000
0.005
0.010
0.015
0.020
0.025
0.030
8°
4°
2°
30°
Measurement
Simulation
O4 o
ptic
al d
ep
th
Time [UTC]
3.000
7.000
14.00
29.00
15°
Trace Gas and Aerosol Retrieval – Averaging Kernels CINDI Campaign, Cabauw/Netherlands, 2009
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
0.0 0.2 0.4 0.6 0.8 0.0 0.2 0.4 0.6 0.8
Aerosol Averaging Kernel
Altitu
de
[km
]
3900 m
3700 m
3500 m
3300 m
3100 m
2900 m
2700 m
2500 m
2300 m
2100 m
1900 m
1700 m
1500 m
1300 m
1100 m
900 m
700 m
500 m
300 m
100 m
ds = 1.9
NO2 Averaging Kernel
ds = 3.1
02.07.2009, 12:00
Hohenpeißenberg, Germany In collaboration with German Weather Service (DWD)
-10° 200 m
90°
10°
20°
2° 5°
1°
-2°
100 m
Hohenpeißenberg, Germany
NO2 Profiles, 8.7.2010
NO2 Surface Mixing Ratio
Comparison with in situ
Hohenpeißenberg, Germany
University of
Heidelberg
NO2 Surface Mixing Ratio – Comparison with in situ measurements
Ba
ck
sc
att
er
[A.U
.]
10-
5-
0-
Ex
tin
cti
on
[km
-1] 0.6-
0.4-
0.2-
0-
Alt
itu
de
[km
]
3-
2-
1-
0-
3-
2-
1-
0-
3-
2-
1-
0-
3-
2-
1-
0-
3-
2-
1-
0-
3-
2-
1-
0-
6 9 12 15 18
Time [hours UTC]
Ceilometer (20 min. average)
Ceilometer (Av. kernel applied)
BIRA
Heidelberg
JAMSTEC
MPI-Mainz
July 3, 2009
Ba
ck
sc
att
er
[A.U
.]
10-
5-
0-
Ex
tin
cti
on
[km
-1] 0.6-
0.4-
0.2-
0-
Alt
itu
de
[km
]
3-
2-
1-
0-
3-
2-
1-
0-
3-
2-
1-
0-
3-
2-
1-
0-
3-
2-
1-
0-
3-
2-
1-
0-
6 9 12 15 18
Time [hours UTC]
Ceilometer (20 min. average)
Ceilometer (Av. kernel applied)
BIRA
Heidelberg
JAMSTEC
MPI-Mainz
July 4, 2009
Comparison of aerosol extinction profiles
CINDI Campaign, Cabauw, Netherlands,
-120
-105
-90
180 -165 -150 -135
60
70
135
150
165
80
normalized BrO-VCD - 12/04/2009
BrO from GOME-2
(Holger Sihler)
Frieß et al., The Vertical Distribution of BrO and Aerosols in the Arctic: Measurements by Active and Passive DOAS,
JGR, 2011
MAX-DOAS Measurements of BrO and Aerosols in Barrow, Alaska
during the OASIS field Campaign, February-April 2009 Udo Frieß and Holger Sihler
200 km visibility
500 m visibility
100 m visibility
50 cm visibility
Extinction profiles - Barrow, Alaska 11:00 15:15
MAX-DOAS Measurements of BrO and
Aerosols in Barrow, Alaska
Example for the Diurnal Variation of Aerosol Extinction
University of
Heidelberg
MAX-DOAS Measurements of BrO and
Aerosols in Barrow, Alaska
Comparison with Ceilometer
Ceilometer
Ceilometer, vertical resolution degraded to MAX-DOAS
MAX-DOAS
3.4 4.4 5.4 6.4 7.4 8.4 9.4 10.4 11.4 12.4 13.4 14.4 15.4
0.1
1
10
AO
D
Date 2009
MAX-DOAS
Sun photometer
Sun photometer, quality filtered
MAX-DOAS Measurements of BrO and
Aerosols in Barrow, Alaska
Comparison with Sun Photometer
University of
Heidelberg
MAX-DOAS Measurements of BrO and Aerosols in
Barrow, Alaska
Longpath-DOAS
Direct measurement of the average trace gas concentration along the light path
Long-Path DOAS in Barrow The Sending/Receiving Telescope
Long-Path DOAS in Barrow Retro Reflector Setup
Long light path Short light path
Comparison of BrO
measured by LP-DOAS and CIMS (Chemical Ionisation Mass Spectrometry)
Liao, J.; Huey, L. G.; Neuman, J. A.; Tanner, D. J.; Sihler, H.; Frieß, U.; Platt, U.; Flocke, F. M.; Orlando, J. J.; Shepson, P. B.;
Beine, H. J.; Weinheimer, A.; Sjostedt, S. J.; Nowak, J. B. & Knapp, D.:
A comparison of Arctic BrO measurements by a chemical ionization mass spectrometer (CIMS) and a long path differential
optical absorption spectrometer (LP-DOAS), submitted to J. Geophys. Res., 2010.
Tomographic LP-DOAS
• Numerous light paths with
two LP-DOAS instruments
using mirrors and retro-
reflectors.
• The measured averaged
concentrations along the
light paths allow to
reconstruct the
concentration field using
tomographic methods.
Denis Pöhler, Ph.D. thesis, 2010
How to fit a long light path into a compact setup P
assiv
e
Op
tica
l
Resonatp
r
The NO2 CE-DOAS Instrument
Cavity:
• R≈99.975 (@445nm)
• Opt. Path Length L0≈1.8km
• Det. Limit 1ppb @ 2s
<0.5ppb @ 10s
• Weight ~ 5kg
• Blue Led (Peak at 445nm)
• Fit Range 436nm - 453nm
The NO2 CE-DOAS Instrument
CE-DOAS Theory
• Optical density is calculated relative to intensity
transmitted by a „zero air“ filled resonator.
• Difference to LP-DOAS:
• Wavelength dependent path length
• Path length must be calibrated: -> Purge cavity with gases of known extinction We use an alternating purge with
Helium and zero air
CE-DOAS Theory
• Length of optical light path depends on extinction in the resonator. Strong
absorber shorter light path.
• Path length correction depends
on absolute optical density.
• Direct correction with meas. DCE
possible but requires:
• light source with very
stable intensity
• very stable optomech. setup
Difficult to achieve.
Temp. stab. of LED required
L0=1.8
km
with [Platt et. al. 2009]
Mobile Meas. in Hong Kong Dec. 13-20, 2010
Central area of Hong Kong
Open Path CE-DOAS Measurements
of IO in Antarctica • Open path CE-DOAS
• Spectral region: 425-455 nm
• Mirror distance: ~1.9 m
• Light source: blue LED
• Spectrometer: Avantes AvaSpec-ULS2048
• Ring-down system with PMT tube
• Light path ~6 km
• Detection limit for IO ~0.5 ppt
• Power consumption: ~30 W
• Dimensions: 220 x 30 x 40 cm3, ~ 30 kg
• Temperature range: -45°C to +30°C
Summary
• Atmospheric remote sensing allows for the contact-free detection of atmospheric
constituents (trace gases, aerosols, clouds...)
• DOAS is a versatile measurement technique:
– Simultaneous measurement of numerous atmospheric trace gases
– Very sensitive (< 1 ppt for some species)
– Inherently self-calibrating
– Can be operated from various platforms (ground, air-borne, balloon-borne, satellite
borne)
• MAX-DOAS:
– Allows for the determination of stratospheric and tropospheric trace gases and aerosols
– Simple and robust instrumentation suitable for field experiments and long-term
measurements
• LP-DOAS: – Very accurate measurement of the mean concentrations of trace gases along a light
path of several km
• CE-DOAS: – Compact setup with high sensitivity due to light paths of several km on a desktop