Novel Technique for Assimilating SSM/I Observations of Marine Atmospheric Storms

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N/A
Agency Tracking Number: 28998
Amount: $39,550.00
Phase: Phase I
Program: SBIR
Awards Year: 1995
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Atmospheric & Environmental
840 Memorial Drive, Cambridge, MA, 02139
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ross N. Hoffman
 (617) 547-6207
Business Contact
Phone: () -
Research Institution
Marine storms strongly affect operations at sea, both DoD and commercial. The DMSP SSM/I clearly depicts certain features of marine storms. Improved depiction of these storms will aid nowcasting in support of execution.of operations at sea and fore- casting of the evolution of these storms in support of planning. However, SSM/I data as well as many other satellite data have only small impacts on the forecasts and analyses of the operational meteorological centers. At many centers the SSM/I data are not currently used. The SSM/I data has great potential for monitoring and depicting marine storms. To attain this potential we propose a novel technique for assimilating SSM/I observa- tions of marine atmospheric storms. In plain terms we propose to match the observ- able features, shifting the short term forecast (or background) of the data assimila- tion system to best match the available satellite data. Our approach to this problem is technically a novel characterization of errors for numerical weather predictions. The basic idea is to characterize forecast errors by a distortion, composed of continuous displacement and amplification fields. We will apply these concepts to SSM/I observations of precipitable water and surface wind speed. These data are ideal for pinpointing the location and structure of marine storms. We will develop and test algorithms for a variational analysis method to make use of these data for initializing numerical forecasts of these storms.

* information listed above is at the time of submission.

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government