TY - JOUR
T1 - Multimodel ensemble simulations of of present-day and near-future tropospheric ozone
AU - Stevenson, D.S.
AU - Dentener, F.J.
AU - van Noije, T.P.C.
AU - Eskes, H.J.
AU - Krol, M.C.
N1 - Samen met ca. 40 andere auteurs
PY - 2006
Y1 - 2006
N2 - Global tropospheric ozone distributions, budgets, and radiative forcings from an
ensemble of 26 state-of-the-art atmospheric chemistry models have been intercompared
and synthesized as part of a wider study into both the air quality and climate roles of
ozone. Results from three 2030 emissions scenarios, broadly representing ‘‘optimistic,’’
‘‘likely,’’ and ‘‘pessimistic’’ options, are compared to a base year 2000 simulation. This
base case realistically represents the current global distribution of tropospheric ozone. A
further set of simulations considers the influence of climate change over the same time
period by forcing the central emissions scenario with a surface warming of around 0.7K.
The use of a large multimodel ensemble allows us to identify key areas of uncertainty and
improves the robustness of the results. Ensemble mean changes in tropospheric ozone
burden between 2000 and 2030 for the 3 scenarios range from a 5% decrease, through a
6% increase, to a 15% increase. The intermodel uncertainty (±1 standard deviation)
associated with these values is about ±25%. Model outliers have no significant influence
on the ensemble mean results. Combining ozone and methane changes, the three scenarios
produce radiative forcings of 50, 180, and 300 mW m 2, compared to a CO2 forcing
over the same time period of 800–1100 mW m 2. These values indicate the importance of
air pollution emissions in short- to medium-term climate forcing and the potential for
stringent/lax control measures to improve/worsen future climate forcing. The model
sensitivity of ozone to imposed climate change varies between models but modulates
zonal mean mixing ratios by ±5 ppbv via a variety of feedback mechanisms, in particular
those involving water vapor and stratosphere-troposphere exchange. This level of climate
change also reduces the methane lifetime by around 4%. The ensemble mean year 2000
tropospheric ozone budget indicates chemical production, chemical destruction, dry deposition and stratospheric input fluxes of 5100, 4650, 1000, and 550 Tg(O3) yr 1,
respectively. These values are significantly different to the mean budget documented by
the Intergovernmental Panel on Climate Change (IPCC) Third Assessment Report (TAR).
The mean ozone burden (340 Tg(O3)) is 10% larger than the IPCC TAR estimate,
while the mean ozone lifetime (22 days) is 10% shorter. Results from individual models
show a correlation between ozone burden and lifetime, and each model’s ozone
burden and lifetime respond in similar ways across the emissions scenarios. The response
to climate change is much less consistent. Models show more variability in the tropics
compared to midlatitudes. Some of the most uncertain areas of the models include
treatments of deep tropical convection, including lightning NOx production; isoprene
emissions from vegetation and isoprene’s degradation chemistry; stratosphere-troposphere
exchange; biomass burning; and water vapor concentrations.
AB - Global tropospheric ozone distributions, budgets, and radiative forcings from an
ensemble of 26 state-of-the-art atmospheric chemistry models have been intercompared
and synthesized as part of a wider study into both the air quality and climate roles of
ozone. Results from three 2030 emissions scenarios, broadly representing ‘‘optimistic,’’
‘‘likely,’’ and ‘‘pessimistic’’ options, are compared to a base year 2000 simulation. This
base case realistically represents the current global distribution of tropospheric ozone. A
further set of simulations considers the influence of climate change over the same time
period by forcing the central emissions scenario with a surface warming of around 0.7K.
The use of a large multimodel ensemble allows us to identify key areas of uncertainty and
improves the robustness of the results. Ensemble mean changes in tropospheric ozone
burden between 2000 and 2030 for the 3 scenarios range from a 5% decrease, through a
6% increase, to a 15% increase. The intermodel uncertainty (±1 standard deviation)
associated with these values is about ±25%. Model outliers have no significant influence
on the ensemble mean results. Combining ozone and methane changes, the three scenarios
produce radiative forcings of 50, 180, and 300 mW m 2, compared to a CO2 forcing
over the same time period of 800–1100 mW m 2. These values indicate the importance of
air pollution emissions in short- to medium-term climate forcing and the potential for
stringent/lax control measures to improve/worsen future climate forcing. The model
sensitivity of ozone to imposed climate change varies between models but modulates
zonal mean mixing ratios by ±5 ppbv via a variety of feedback mechanisms, in particular
those involving water vapor and stratosphere-troposphere exchange. This level of climate
change also reduces the methane lifetime by around 4%. The ensemble mean year 2000
tropospheric ozone budget indicates chemical production, chemical destruction, dry deposition and stratospheric input fluxes of 5100, 4650, 1000, and 550 Tg(O3) yr 1,
respectively. These values are significantly different to the mean budget documented by
the Intergovernmental Panel on Climate Change (IPCC) Third Assessment Report (TAR).
The mean ozone burden (340 Tg(O3)) is 10% larger than the IPCC TAR estimate,
while the mean ozone lifetime (22 days) is 10% shorter. Results from individual models
show a correlation between ozone burden and lifetime, and each model’s ozone
burden and lifetime respond in similar ways across the emissions scenarios. The response
to climate change is much less consistent. Models show more variability in the tropics
compared to midlatitudes. Some of the most uncertain areas of the models include
treatments of deep tropical convection, including lightning NOx production; isoprene
emissions from vegetation and isoprene’s degradation chemistry; stratosphere-troposphere
exchange; biomass burning; and water vapor concentrations.
M3 - Article
SN - 2169-897X
VL - 111
SP - D08301/1-D08301/23
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
ER -