cargese utls ozone and ozone trends 1 utls ozone and ozone trends d. fonteyn (my apologies) given by...
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Cargese UTLS ozone and ozone trends 1
UTLS ozone and ozone trends
D. Fonteyn (My apologies)
Given by
W. Lahoz (My thanks)
Cargese UTLS ozone and ozone trends 2
Importance UTLS
• relatively large (but variable) ozone trends
• very high climate sensitivity
• crucial region modulating stratospheric entry of
tropospheric pollutants
• growing commercial aviation
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Problems UTLS studies
• very complex region (dynamics and chemistry on a
variety of scales)
• high demands on modeling capabilities
• limited amount of satellite observations with large
uncertainties: rely on in-situ measurements
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UTLS: combination of mixing and chemistry
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Upper Troposphere:
• Emission of chemical species
• Ozone production
• Oxidation capacity
• Species influencing radiatif budget
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Lower Stratosphere:
• Ozone destruction (ClOx, BrOx, NOx, heterogeneous
chemistry)
• Species influencing radiatif budget
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Upper Troposphere – Lower Stratosphere Studies:
• STE: Stratosphere – Troposphere Exchange
• Dynamical processes
• Chemical processes
• Climate
• All Linked
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Overview of ozone chemistry?
Huge task
Chemical processes are relatively well known
Tropospheric chemistry
Stratospheric chemistry
Coupling with emissions, dynamics, climate change
makes it extremely vast.
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UTLS: ‘slow’ chemistry and ‘fast’ mixing
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UTLS: distinct tracer relationships
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Models & Observations:
Climatology: dynamical features present in species
distributions
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>> Park et al, JGR 2004
Methane distribution at 136 hPa in July.
Maximum near Asian monsoon and secundary
maximum near North America
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>> Park et al, JGR 2004
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Models & Observations:
• Climatology
• Convective driven methane distribution, models agree
with observations, gradients do not agree
• Lightning NOx production: qualitative agreement but
not in vertical
Ozone ?
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>> Kuell et al., JGR 2005
Detrended CFC 11 distribution at 100 hPa in
the TRACHT region during the time period
from 10–13 August 1997 as measured by
CRISTA (upper map) and modeled by
EURAD (interpolated to the CRISTA
measurement grid; lower map). The EURAD
data have a negative bias of about 20 pptv.
Dynamical features: a mid-latitude blocking
event characterized by an omega circulation
pattern with a persistent cutoff low at its
western wing.
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Models & Observations:
• Satellite observations allow to detect dynamical effects
in CFC 11 distributions on an event basis.
• Event modelling in qualitative agreement
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Models & Observations: shifting towards event chemistry
(UT):
Brunner D., et al., ACP, 2005
An evaluation of the performance of chemistry transport
models. Part 2: Detailed comparison with two selected
campaigns
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>> Brunner et al., ACP 2005
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>> OUTLINE
Composites of PEM-Tropics A time series. Measurements at 0–35 S and 400–200 hPa (about 7.2–12 km) only. Flight numbers are indicated at the top of each panel. Black: measurements.
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>> OUTLINE
Composites of SONEX time series. Only measurements between 350 and 200 hPa are included.
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Models & Observations: shifting towards event chemistry
(UT):
Senistivity to emissions, biomass burning, lightning,
aircraft …
Large model variability
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Problems UTLS studies
• Other uncertainties, winds
• Bregman: mass conserving properties
• Comparing with MOZAIC aircraft campaign
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>> Bregman, B., et al., ACP, 2003
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Ozone UTLS trends
• Observations:
– LS ozone depletion related and “recovery”
– UT pollution effects
• VERY LONG term trends: models
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>> WMO, 2002
Ozone decrease in lower stratosphere in
Northern Mid-latitudes. The period 1980 –
2000 shows less decrease than 1980 – 1996.
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>> OUTLINE
Vertical discriminated deseasonalized ozone
evolution from ozonesondes NH.
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>> MOZAIC trends, Thouret, V., et al., ACPD, 2005
Time series of ozone monthly means in the UT over the three selected regions Europe, Eastern US and Iceland.
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>> OUTLINE
Time series of ozone monthly means in the LS over the three selected regions Europe, Eastern US and Iceland.
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MOZAIC Ozone UTLS trends
Apparent discrepancies:
UT increase, high compared to literature
LS increase, decreased expected
Effect of period, effect of location
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>> GAUSS, M., et al., ACPD, 2005
Very long term trend: 1850 – 2000
Chemical change induced:
Dynamical change induced:
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A flavour of what to expect