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Investigating the Use of OPIR Data in Support of Cloud Retrieval Applications

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9453-16-C-0498
Agency Tracking Number: F151-082-1223
Amount: $749,891.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF151-082
Solicitation Number: 2015.1
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-09-22
Award End Date (Contract End Date): 2018-08-31
Small Business Information
5777 Central Avenue, Suite 221
Boulder, CO 80301
United States
DUNS: 601975803
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dr. Patrick McBride
 (303) 993-8039
 pmcbride@astraspace.net
Business Contact
 Geoff Crowley
Phone: (303) 993-8039
Email: gcrowley@astraspace.net
Research Institution
N/A
Abstract

The program objective is to develop data-processing methods and algorithms to produce novel environmental intelligence data products from the shortwave (SWIR) and midwave infrared (MWIR) radiances measured by the OPIR constellation of satellites. SWIR and MWIR radiances are sensitive to cloud properties, and in our Phase I effort we demonstrated the feasibility of deriving cloud products from the OPIR observations. The OPIR systems could provide cloud detection and characteristics in near-real time including severe weather detection and monitoring. These observations would augment other weather observations. In Phase-II, we will develop cloud retrieval algorithms applicable to observations in the OPIR spectral range. Our radiative transfer modeling effort will be expanded from Phase I to accommodate the increased variability of atmospheric and surface properties encountered in an operational dataset. Using simulated retrievals, recommendations will be provided on how future OPIR systems could be altered to improve their cloud observational capabilities. Algorithms will be implemented for use with realtime streaming OPIR data, and tested using operational data with varied sensor configurations to refine collection and OPSCON requirements. Results will be validated using co-located, cloud products from other satellites.

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

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