M. TALAT ODMAN

ONLINE PUBLICATIONS
Adaptive Grid

3-D AG Poster

SERDP Project

Adaptive Grid Presentation

Adaptive Grid Movie

Prescribed Burn Presentation

Khan, M. N., Odman, M. T. and Karimi, H. A. (2004) Evaluation of algorithms developed for adaptive grid air quality modeling using surface elevation data. Computers, Environment and Urban Systems, 29, 718-734.

Srivastava, R. K., McRae, D. S. and Odman, M. T. (2001) Simulation of dispersion of a power plant plume using an adaptive grid algorithm. Atmospheric Environment, 35, 4801-4818.
Srivastava, R. K., McRae, D. S. and Odman, M. T. (2001) Simulation of a reacting pollutant puff using an adaptive grid algorithm. Journal of Geophysical Research, 106, No. D20, 24,245-24,258.
Odman, M. T., Khan, M. N., Srivastava, R. K. and McRae, D. S. (2001) Initial application of the adaptive grid air pollution model. 25th NATO/CCMS International Technical Meeting on Air Pollution Modelling and Its Application, Louvain-la-Neuve, Belgium, October 15-19, 2001.
Odman, M. T. and Khan, M. N., An Adaptive Grid Model for Urban to Regional Scale Air Quality Problems, 2nd International Symposium on Air Quality Management at Urban, Regional and Global Scales, Istanbul, Turkey, 25-28 September, 2001.
Srivastava, R. K., McRae, D. S. and Odman, M. T. (2000) An adaptive grid algorithm for air quality modeling. Journal of Computational Physics 165, 437-472.

Khan, M., T. Odman, H. Karimi and A. Hanna, Reducing Uncertainty of Air Quality Models Through Coupling Adaptive Grids with GIS Techniques, 2nd ICGESA International Conference on GIS for earth science applications, Menemen, Turkey, 11-14 Sept. 2000.
Khan, M., M.T. Odman, H. Karimi, Developing and Integrating Advanced GIS Techniques in an Adaptive Grid Air Quality Model to Reduce Uncertainty, 4th International Conference on Integrating GIS and Environmental Modeling Banff, Canada Sept. 5-8, 2000.
Odman, M.T., Khan, N.M., and McRae, D.S. (2001) Adaptive grids in air pollution modeling: Towards an operational model. Air Pollution Modelling and Its Application XIV, S.-E. Gryning and F. A. Schiermeier, Kluwer Academic/Plenum Publishers, New York, 541-549.

DDM

Hakami A., Odman M. T. and Russell A. G., “Non-linearity in atmospheric response: A direct sensitivity analysis approach,” Journal of Geophysical Research– Atmospheres, vol. 109, no. D15, D15303, August 2004.

Hakami, A., Harley, R. A., Milford, J. B., Odman, M. T., Russell, A. G., “Regional, three-dimensional assessment of the ozone formation potential of organic compounds,” Atmospheric Environment, vol. 38, no. 1, pp. 121-134, January 2004.

Hakami A., Odman M. T. and Russell A. G., “High-order, direct sensitivity analysis of multidimensional air quality models,” Environmental Science and Technology, vol. 37, no. 11, pp. 2442-2452, June 2003.

SAMI

Odman, M. T., Russell, A. G., Boylan, J. W., “Estimates of PM_2.5 levels in the southeastern United States for the year 2010,” Fuel Processing Technology, vol. 85, no. 6-7, pp. 631– 639, 15 June 2004.

Boylan, J. W., Odman, M. T., Wilkinson, J. G., Russell, A. G., Doty, K., Norris, W. and McNider, R., “Development of a comprehensive multiscale ‘one atmosphere’ modeling system: application to the southern Appalachian mountains,” Atmospheric Environment, vol. 36, no. 23, pp. 3721-3734, August 2002.

Other Topics

Odman, M.T., and Russell, A.G. (2000) Mass conservative coupling of non-hydrostatic meteorological models with air quality models, Air Pollution Modelling and Its Application XIII, S.-E. Gryning and E. Batchvarova, Kluwer Academic/Plenum Publishers, New York, 651-660.
Odman, M.T., and Ingram, C.L., Multiscale Air Quality SImulation Platform (MAQSIP): Source Code Documentation and Validation, MCNC Technical Report ENV-96TR002, Research Triangle Park, NC, 1996.