Sensitivity of Global Modeling Initiative model predictions of Antarctic ozone recovery to input meteorological fields

Considine, David B.; Connell, Peter S.; Bergmann, D.; Rotman, D.; Strahan, S. E.

doi:10.1029/2003jd004487

Cited by 10 publications

(11 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SD2004 show that tracer distributions produced by GMI FVGCM (the GMI CTM when driven by winds from FVGCM) are more similar to observed distributions than those produced by GMI FVDAS (the GMI CTM driven by winds from FVDAS) at middle and high latitudes. Consistent with that, GMI FVGCM mean age in the polar lower stratosphere is older and more realistic than that that of GMI FVDAS [ Considine et al , 2004]. Overall, the GMI FVGCM constituent distributions compare best with observations in the middle stratosphere, and are more similar to observations in the northern hemisphere than in the southern hemisphere.…”

Section: Introductionsupporting

confidence: 71%

Radicals and reservoirs in the GMI chemistry and transport model: Comparison to measurements

et al. 2004

View full text Add to dashboard Cite

[1] We have used a three-dimensional chemistry and transport model (CTM), developed under the Global Modeling Initiative (GMI), to carry out two simulations of the composition of the stratosphere under changing halogen loading for 1995 through 2030. The two simulations differ only in that one uses meteorological fields from a general circulation model while the other uses meteorological fields from a data assimilation system. A single year's winds and temperatures are repeated for each 36-year simulation. We compare results from these two simulations with an extensive collection of data from satellite and ground-based measurements for 1993-2000. Comparisons of simulated fields with observations of radical and reservoir species for some of the major ozone-destroying compounds are of similar quality for both simulations. Differences in the upper stratosphere, caused by transport of total reactive nitrogen and methane, impact the balance among the ozone loss processes and the sensitivity of the two simulations to the change in composition.

show abstract

Section: Introductionsupporting

confidence: 71%

Radicals and reservoirs in the GMI chemistry and transport model: Comparison to measurements

et al. 2004

View full text Add to dashboard Cite

show abstract

“…Three‐dimensional chemical transport models with a focus on the middle atmosphere were developed over the last decade [e.g., Rose and Brasseur , 1989; Chipperfield et al , 1993; Rasch et al , 1994; Lefèvre et al , 1994; Brasseur et al , 1997; Douglass et al , 1997; Rotman et al , 2001; Mahowald et al , 2002; Marsh et al , 2003; Rotman et al , 2004; Considine , 2004; Douglass et al , 2004]. These chemical transport models have included gas‐phase and heterogeneous reactions that represent realistically the distribution of radicals contained in the O x , HO x , NO x , ClO x , and BrO x family of constituents that are important for the O 3 balance in this region.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of chemical tracers to meteorological parameters in the MOZART‐3 chemical transport model

Kinnison¹,

Brasseur²,

Walters³

et al. 2007

J. Geophys. Res.

457

454

View full text Add to dashboard Cite

[1] The Model for Ozone and Related Chemical Tracers, version 3 (MOZART-3), which represents the chemical and physical processes from the troposphere through the lower mesosphere, was used to evaluate the representation of long-lived tracers and ozone using three different meteorological fields. The meteorological fields are based on (1) the Whole Atmosphere Community Climate Model, version 1b (WACCM1b), (2) the European Centre for Medium-Range Weather Forecasts (ECMWF) operational analysis, and (3) a new reanalysis for year 2000 from ECMWF called EXP471. Model-derived tracers (methane, water vapor, and total inorganic nitrogen) and ozone are compared to data climatologies from satellites. Model mean age of air was also derived and compared to in situ CO 2 and SF 6 data. A detailed analysis of the chemical fields simulated by shows that even though the general features characterizing the three dynamical sets are rather similar, slight differences in winds and temperature can produce substantial differences in the calculated distributions of chemical tracers. The MOZART-3 simulations that use meteorological fields from WACCM1b and ECMWF EXP471 represented best the distribution of long-lived tracers and mean age of air in the stratosphere. There was a significant improvement using the ECMWF EXP471 reanalysis data product over the ECMWF operational data product. The effect of the quasi-biennial oscillation circulation on long-lived tracers and ozone is examined.

show abstract

“…The GMI produced a CTM appropriate for stratospheric assessments (Rotman et al, 2001), which was used to evaluate the potential effects of stratospheric aircraft on the global stratosphere ) and on the Antarctic lower stratosphere (Considine et al, 2000). An improved version of this model was used more recently in several sensitivity studies of the stratosphere and stratospheric response to anticipated decreases in stratospheric chlorine loading (Considine et al, 2004a;Douglass et al, 2004;Strahan and Douglass, 2004). A version of the GMI CTM has been developed recently which includes tropospheric physical and chemical processes and is thus capable of simulating the above-mentioned radionuclides throughout the troposphere and stratosphere (Considine et al, 2004b;Rodriguez et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of Global Modeling Initiative chemistry and transport model simulations of radon-222 and lead-210 to input meteorological data

2005

View full text Add to dashboard Cite

Abstract.We have used the Global Modeling Initiative chemistry and transport model to simulate the radionuclides radon-222 and lead-210 using three different sets of input meteorological information: 1. Output from the Goddard Space Flight Center Global Modeling and Assimilation Office GEOS-STRAT assimilation; 2. Output from the Goddard Institute for Space Studies GISS II general circulation model; and 3. Output from the National Center for Atmospheric Research MACCM3 general circulation model. We intercompare these simulations with observations to determine the variability resulting from the different meteorological data used to drive the model, and to assess the agreement of the simulations with observations at the surface and in the upper troposphere/lower stratosphere region. The observational datasets we use are primarily climatologies developed from multiple years of observations. In the upper troposphere/lower stratosphere region, climatological distributions of lead-210 were constructed from ∼25 years of aircraft and balloon observations compiled into the US Environmental Measurements Laboratory RANDAB database. Taken as a whole, no simulation stands out as superior to the others. However, the simulation driven by the NCAR MACCM3 meteorological data compares better with lead-210 observations in the upper troposphere/lower stratosphere region. Comparisons of simulations made with and without convection show that the role played by convective transport and scavenging in the three simulations differs substantially. These differences may have implications for evaluation of the importance of very short-lived halogen-containing species on stratospheric halogen budgets.

show abstract

Sensitivity of Global Modeling Initiative model predictions of Antarctic ozone recovery to input meteorological fields

Cited by 10 publications

References 35 publications

Radicals and reservoirs in the GMI chemistry and transport model: Comparison to measurements

Radicals and reservoirs in the GMI chemistry and transport model: Comparison to measurements

Sensitivity of chemical tracers to meteorological parameters in the MOZART‐3 chemical transport model

Sensitivity of Global Modeling Initiative chemistry and transport model simulations of radon-222 and lead-210 to input meteorological data

Contact Info

Product

Resources

About