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

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
28998
Program Year/Program:
1995 / SBIR
Agency Tracking Number:
28998
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ATMOSPHERIC & ENVIRONMENTAL RESEARCH, INC.
131 Hartwell Avenue Lexington, MA 02421 3126
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1995
Title: Novel Technique for Assimilating SSM/I Observations of Marine Atmospheric Storms
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $39,550.00
 

Abstract:

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.

Principal Investigator:

Ross N. Hoffman
6175476207

Business Contact:

Small Business Information at Submission:

Atmospheric & Environmental
840 Memorial Drive Cambridge, MA 02139

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No