Related Research Areas
Atmospheric Composition

We propose to investigate and reduce scavenging and transport uncertainties in MAP-funded meteorological data sets and models, using the Global Modeling Initiative (GMI) chemistry and transport model (CTM) and the GEOS 5 chemistry-climate model (CCM). We will: 1. Investigate the role of wet scavenging in controlling tropospheric and lower stratospheric soluble tracers, 2. Optimize wet scavenging in the GMI CTM for each of the meteorological data sets which can be used to drive it, 3. Implement and optimize online scavenging in the GEOS 5 CCM, 4. Improve the utility of Beryllium-7 simulations, which are useful for investigating tropospheric and stratospheric scavenging and transport, by developing a new time-dependent Beryllium-7 source function with improved horizontal and vertical resolution, and longitudinal as well as meridional variability, 5. Use the GMI model to evaluate and intercompare the transport processes controlling upper tropospheric/lower stratospheric (UT/LS) trace species distributions in meteorological data sets recently generated by MAP-funded GCMs, DASs, and chemistry-climate models (CCMs), and 6. Quantify the uncertainty in the calculated radiative characteristics of the UT/LS region resulting from differences between the meteorological data sets and numerical inaccuracies. For the scavenging investigations we will rely on simulations of the radionuclides Rn-222, Pb-210, Be-7, and Be-10 in comparison with observations. We will utilize simulated and measured distributions of H2O, O3, and CO to understand the various transport processes controlling UT/LS composition and evaluate the uncertainty in their representation. The radiative impacts of the differences between modeled and measured UT/LS O3 distributions will be evaluated using a column radiation model to and a monthly mean ozonesonde climatology. These studies will improve the representation of soluble atmospheric species and aerosols in the GMI CTM and the GEOS 5 CCM, improve our understanding of UT/LS transport, and quantify transport and scavenging-related uncertainties in atmospheric composition.

Project PI: David Considine/NASA Langley Research Center

Mail Stop 401B NASA Langley Research Center Hampton, VA 23681-0001



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Started: Aug 10, 2010

Last Activity: Dec 15, 2010


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