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Issue No. 9, March 1997 |
IGAC's Global Integration and Modeling (GIM) Activity |
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IntroductionIt is now a fact that the atmospheric concentrations of several chemically and radiatively important trace constituents (gases and particles) are changing, primarily due to human influences. Several trace constituents like primary aerosols, methane, nitrous oxide, higher nitrogen oxides (NOx), carbon monoxide, nonmethane hydrocarbons, sulfur dioxide, dimethylsulfide and halocarbons have direct anthropogenic and/or natural emissions to the atmosphere. Others, like ozone and secondary aerosols, are produced from chemical reactions of their precursors. In turn, the changing atmospheric concentrations of these trace constituents can affect the radiative balance and climate of the earth. To understand and reliably predict chemical and climate changes in the atmosphere, a thorough understanding of the chemical, physical, biological and climatic processes which affect the distributions of trace constituents in the atmosphere, and of the interactions between these processes is required. In this context, numerical models are especially useful tools for evaluating the global budgets of trace constituents, for understanding the evolution of trace constituent distributions due to natural and anthropogenic forcings, and for assessing atmospheric chemistry-climate interactions. The Global Integration and Modeling (GIM) Activity is a recently-initiated effort under the IGAC Global Focus which specifically aims to address the development and application of advanced three-dimensional global chemical transport and coupled climate/chemistry models, with an emphasis on tropospheric applications. It is important to note that several mature research efforts focused on global-scale tropospheric chemistry and transport modeling already exist. Thus, the activities to be undertaken as part of GIM will be directed towards facilitating these existing efforts, rather than developing independent modeling capabilities. With this in mind, GIM will pursue its goals by: (i) conducting a series of model intercomparison exercises focusing on key problems in tropospheric chemistry; (ii) conducting workshops specifically targeted to graduate students and postdoctoral researchers and focusing on the latest developments in tropospheric chemistry and climate modeling; (iii) collaborating actively with other on-going model development and evaluation efforts such as those being carried out as part of the World Climate Research Program and the NASA/Global Modeling Initiative; and (iv) establishing close linkages other with on-going IGAC Activities such as the Global Atmospheric Chemistry Survey (GLOCHEM), the Global Emissions Inventory Activity (GEIA), and others. In the sections below we provide a brief description of tropospheric chemistry and transport models, elaborate on specific GIM efforts that have been initiated or are planned for the near future, and outline the organizational structure of GIM. Tropospheric Chemistry and Transport Models (CTMs)Tropospheric CTMs are numerical models which simulate the interactions between processes such as emissions, photochemical production and destruction, convective and synoptic mixing, and dry and wet deposition, which together shape the distribution of trace constituents. These models are time-dependent and, depending on their spatial resolution, can be classified as 1-, 2-, and 3-dimensional models. Depending on the horizontal extent of the area considered, one distinguishes between limited area or mesoscale models and global models. The limited area/mesoscale models cover areas up to a few thousand square kilometers, and can be subdivided into 3 main categories:
The rapidly increasing computational capabilities of modern-day computers enhances the use of atmospheric chemistry transport models at various spatial resolutions. The same global or mesoscale model can be run with different horizontal and vertical resolutions or can have the option of using a window with higher resolution over a particular area of interest. Another classification of tropospheric CTMs is based on the meteorology used to drive the model. In decoupled or "off-line" CTMs, chemistry is not allowed to feed back into meteorology. The meteorology used to drive these models is derived either from general circulation models (GCMs) which simulate the ensemble of meteorological events corresponding to a generic time-period or from assimilation-based models which simulate specific time periods. In either case, the meteorology used to drive most off-line CTMs is synoptic in nature, though a few CTMs are climatological in nature with the transport based on monthly-mean winds. The most advanced models used for tropospheric chemistry studies are the fully coupled general circulation/chemistry or "on-line" models in which chemistry, meteorology, and radiative transfer are computed simultaneously and changes in the chemical species concentrations may affect meteorology and climate and vice versa. Both off-line and on-line models are useful. On-line models are advantageous for studying chemistry-climate interactions, while off-line models offer a computationally efficient tool for studying the global distributions and budgets of a number of important tropospheric species which are influenced by climate only indirectly. Tropospheric CTMs are useful in unraveling the complex physical and chemical interactions that shape tropospheric trace constituent distributions. A key component of any model development and evaluation exercise is evaluation against relevant field measurements. Such measurements include both in situ and remote data and, depending on the nature of the CTM, may be climatological or episodic in nature. The CTMs in turn can be used for designing field measurement campaigns, and for interpreting and analyzing the data gathered from these campaigns. Specific GIM EffortsThe development and application of comprehensive CTMs for tropospheric ozone and aerosols is of considerable scientific importance. Tropospheric ozone plays a central role in determining the oxidizing power of the atmosphere and is also an important greenhouse gas. Tropospheric aerosols are believed to significantly affect the Earth's radiative balance, and can affect gas phase chemical composition via heterogeneous reactions. Furthermore, in some polluted regions both ozone and fine-particles are believed to pose risks to human health as well as agricultural crops and forest resources. Over the last decade or so, there has been considerable research in the development and application of CTMs for tropospheric ozone. Similarly, a number of models have been developed for evaluating the mass distribution of sulfate aerosols. Less advanced is our capability to simulate particle size distributions in CTMs, though again there is considerable ongoing research in this area. Keeping in mind GIM's objectives of facilitating rather than developing tropospheric CTMs, three distinct activities have been developed in the general areas of tropospheric ozone and aerosol modeling. These are: (i) a tropospheric ozone global CTM intercomparison exercise; (ii) an aerosol dynamics model intercomparison exercise; and (iii) a tropospheric global aerosol modeling workshop and intercomparison exercise. Of these, the tropospheric ozone intercomparison is well underway, and is discussed in detail below. The aerosol modeling activities are in the planning stages, and are also briefly discussed below.
Model Name Contact IMAGES J.-F. Muller, G.P. Brasseur, C. Granier GFDL H. Levy II HARVARD D. Jacob ECHAM G.-J. Roelofs TM3 F. Dentener, S. Houweling IMAU3 M. Krol CTMK W.M.F. Wauben MATCH M.G. Lawrence, P.J. Crutzen MOGUNTIA N. Poisson, M. Kanakidou MOZART D.A. Hauglustaine, G.P. Brasseur UKMETO R.G. Derwent, C.E. Johnson, W.J. Collins, D.S. Stevenson UIO T.K. Berntsen, I. Isaksen A meeting to discuss the preliminary results from this exercise was held at Gif-sur-Yvette in France in November, 1996. Figure 1 shows examples of model comparisons for surface ozone and carbon monoxide, respectively, at the Barrow, Alaska, and Cape Grim, Tasmania baseline stations. Observed mixing ratios and standard deviations are plotted for comparison purposes.
It is encouraging that the model simulations reproduce the general variations of the measured monthly-mean concentrations. However, major differences in the model outputs are obvious and remain to be analyzed in terms of the ozone budget in the free troposphere and in particular close to the tropopause. These differences are also reflected in the OH distribution calculated by the various models. This is illustrated in Table 2 which shows the methane lifetimes calculated by the models.
Range Median
Global 6.4-10 7.5
(15*)
NH 5.8-9.1 6.9
(14*)
SH 7.1-10.3 8.6
(19*)
· only one model result, not taken into account for the median calculation. A more detailed diagnostic analysis of the ozone intercomparison results is now underway. A follow-up meeting of the GIM Ozone Action Committee is planned for the fall of 1997 to summarize the results of this exercise and finalize the preparation of a manuscript detailing these results of the analysis. Further details can be obtained from Dr. Maria Kanakidou (e-mail: mariak@lmce.saclay.cea.fr).
GIM LeadershipThe current Co-Convenors of GIM are Dr. Maria Kanakidou and Dr. Prasad Kasibhatla (e-mail: psk9@duke.edu). The other inaugural members of the GIM Coordinating Committee are: Carmen Benkovitz, USA , Frank Dentener, The Netherlands, Laura Gallardo-Klenner, Chile, Claire Granier, France & USA, Ivar Isaksen, Norway, Jack Kaye, USA, Kathy Law, UK, Jennifer Logan, USA, and Jack McConnell, Canada. This Committee will be expended in near future to include scientists from Asia, Australia, and other locales. |