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Retrieval Algorithms for Atmospheric Data Assimilation

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N/A
Agency Tracking Number: 35995
Amount: $67,674.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 1997
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
2750 Prosperity Ave
Fairfax, VA 22031
United States
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dr. Jerry D. Lumpe
 (703) 204-1301
Business Contact
Phone: () -
Research Institution

We propose to develop algorithms which can be used to assimilate separate satellite data sets of important geophysical parameters into global, gridded data sets. The data assimilation program will be cast as a retrieval problem in which the true, instrument independent global distribution is retrieved from the combined satellite data set. This problem will be solved using the method of optimal estimation. The feasibility of the approach will be tested by applying the algorithm to synthetic data sets consisting of simulated ozone measurements from several instruments. The initial simulations will use a combination of solar occultation instruments in different orbits, to imitate the OOAM/POAM III data set. Errors in the resulting retrievals will be quantified and studied as a function of altitude, latitude and longitude. The software package developed to implement the algorithm will be highly modular and generic, allowing for the algorithms to be modified for application to more complicated data sets in future work.

* Information listed above is at the time of submission. *

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