Profile

Phone: 979.845.8076
Fax: 979.862.4466
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Texas A&M University
Room 1210H, O&M Bldg
Department of Atmospheric Sciences
MS 3150
College Station, Texas 77843

Spring 2010 Courses:

ATMO 201, Section 503
Eller O&M rm. 112
MWF 1:50pm - 2:40pm

Dr. Shaima L. Nasiri

Assistant Professor

Ph.D., University of Wisconsin-Madison, Atmospheric Sciences

M.S. University of Wisconsin-Madison

B.S. University of Denver

Research Interests

My research is focused on various aspects of cloud remote sensing. Clouds are a major regulating component of the earth-atmosphere energy budget and are known to be a key source of uncertainty in climate processes. I use measurements made by satellite and aircraft instruments to better understand the radiative effects of clouds.

Specific research topics

  • Retrieval of cloud thermodynamic phase from satellite data (ice, water, mixed phase).
  • Investigations of cloud properties using high spectral resolution infrared radiances.
  • Development and testing of improved cirrus single scattering property models for remote sensing applications.
  • Finding ways to incorporate in situ cloud microphysical measurements with remote sensing models.
  • Relating clouds in the real world to those in radiative transfer models and satellite products.

Selected Publications

* Indicates work done by a student while at Texas A&M University

Published

  • *Cho H.-M.,  S. L. Nasiri, and P. Yang, 2009: Application of CALIOP measurements to the evaluation of cloud phase derived from MODIS infrared channels. J. Appl. Meteorol. Clim., 48, p. 2169-2180.  Link
  • Hu, Y, D. Winker, M. Vaughan, B. Lin, A. Omar, C. Trepte, D. Flittner, P. Yang, S. L. Nasiri, W. Sun, Z. Liu, Z. Wang, S. Young, K. Stamnes, J. Huang, R. Kuehn, B. A. Baum, and R. Holz, 2009: CALIPSO/CALIOP Cloud Phase Discrimination Algorithm. J. Atmos. Ocean. Technol., 26, p. 2293-2309  Link
  • Nasiri, S. L. and B. H. Kahn, 2008: Limitations of bi-spectral infrared cloud phase determination and potential for improvement. J. Appl. Meteorol. Clim., 47(11), p. 2895-2910.  Link
  • *Garrett, K. J, P. Yang, S. L. Nasiri, C. R. Yost, and B. A. Baum, 2008: Influence of cloud top height and geometric thickness on a MODIS infrared-based ice cloud retrieval. J. Appl. Meteorol. Clim.48, p. 818-832  Link
  • *Cho, H-M, P. Yang, G. W. Kattawar, S. L. Nasiri, Y. Hu, P. Minnis, C. Trepte, and D. Winker, 2008: Depolarization ratio and attenuated backscatter for nine cloud types: analyses based on collocated CALIPSO lidar and MODIS measurements. Optics Express, 16(6), p. 3931-3948.
  • Baum, B. A., P. Yang, S. L. Nasiri, A. K. Heidinger, A. J. Heymsfield, and J. Li, 2007: Bulk scattering properties for the remote sensing of ice clouds. Part 3: High resolution spectral models from 100 to 3250 cm-1. J. Appl. Meteor. Clim., 46, p. 423-434.  Link
  • Kahn, B. H., E. Fishbein, S. L. Nasiri, A. Eldering, E. J. Fetzer, M. J. Garay, S.-Y. Lee, 2007: A radiative consistency check of AIRS and MODIS cloud retrievals. J. Geophys. Res., 112, D09201, doi:10.1029/2006D007486.  Link
  • Yang, P., L. Zhang, G. Hong, S. L. Nasiri, B. A. Baum, H. L. Huang, M. D. King, and S. Platnick, 2007: Differences between Collection 4 and 5 MODIS ice cloud optical/microphysical products and their impact on radiative forcing simulations. IEEE Trans. Geosci. Remote Sens.  45, p. 2886-2899.
  • Nasiri, S. L. and B. A. Baum, 2004: Daytime multilayered cloud detection using multispectral imager data. J. Atmos. Ocean. Technol., 21(8), pp. 1145-1155.   Link

Links

C.V. as of 19 November 2009

Research Group

 
College of Geosciences Atmospheric Science Geography Oceanography Geology & Geophysics Environmental Programs Water Degree Program GERG IODP Texas Sea Grant