SBIR/STTR Research Award
Extending the Analog Ensemble Method for Satellite Observations
Award amount
$196,994Program and phase
STTR · Phase IAward year
2024Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- CREARE LLC
- Proposal award date
- 2024-03-01
- Contract end date
- 2024-09-01
- UEI
- JDKYAKDT4TT6
- Solicitation number
- 23.B
- Topic code
- A23B-T020
Research abstract
The army needs probabilistic weather forecasts for effective mission planning and preparation. Current DoD weather capabilities use deterministic numerical weather prediction (NWP) models to forecast weather. This means the model may not predict rain when thereÆs a 30% chance of rain, for example. The most common variant of the Analog Ensemble (AnEn) method can provide forecast probabilities using historic NWP modelĀ runs (existing DoD capabilities) and in-situ observations. However, for remote or denied regions, in-situ observations are not available, and satellite observations need to be used instead. As such, the AnEn methods must be adapted to use satellite observations. Creare and our Pennsylvania State University collaborators propose to develop AnEn-Sat, a software framework for producing probabilistic weather forecasts from deterministic NWP model runs and satellite observations.
Technology keywords
Not reported