Professor, Department of Atmospheric Sciences
PhD, University of Washington, 1976
Office: JISAO, Rm 144
Phone: 206-221 2767
Radiation and climate; the impacts of clouds and aerosol on the earth radiation budget; remote sensing of clouds from ground and space; climate modeling; cirrus cloud formation and maintenance.
See website: http://www.atmos.washington.edu/~ackerman/
Current Research Projects
- Evaluation of cloud properties in the Multi-scale Modeling Framework
- Analysis of CloudSat mm-wavelength radar data
- Statistical linkage of cloud distributions with synoptic data using a neural net classifier
- Understanding the maintenance and formation of thin tropical tropopause cirrus
McFarlane, S. A., J. H. Mather, and T. P. Ackerman, 2007: Analysis of tropical radiative heating profiles: A comparison of models and observations, J. Geophys. Res., 112, D14218, doi:10.1029/2006JD008290
Ivanova, K. and T. P. Ackerman, 2007: Stochastic analysis of neutrally startified cirrus layer, J. Atmos. and Solar-Terrestrial Phys., 69, 2265-2278.
Marchand, R. T., T. P. Ackerman, G. G. Mace, and G. Stephens, 2007: Hydrometeor detection using CloudSat - an Earth Orbiting 94 GHz Cloud Radar, submitted, J. Atmos. Ocean. Tech., 25. pp. 519-533, DOI: 10.1175/2007JTECHA1006.1
Hinkelman, L. M., K. F. Evans, E. E. Clothiaux, T. P. Ackerman, and P. W. Stackhouse, 2007, The effect of cumulus cloud field anisotropy on domain-averaged solar fluxes and atmospheric heating rates, J. Atmos. Sci., 64, 3499-3520.
Marchand, R. T., J. Haynes, G. G. Mace, T. P. Ackerman, G. Stephens, 2008: A comparison of simulated cloud radar output from the multiscale modeling framework global climate model with cloudSat cloud radar observations, J. Geophys. Res., in press
McFarlane, S. A., J. H. Mather, and T. P. Ackerman, 2008: Effect of clouds on the vertical distribution of shortwave absorption in the tropics, J. Geophys. Res., in press
Marchand, R. T., N. Beagley, and T. P. Ackerman, 2008: Evaluation of Hydrometeor Occurrence Profiles in the Multiscale Modeling Framework Climate Model using Atmospheric Classification, J. Climate, submitted
Teaches a variety of classes on climate, climate change, and remote sensing