CLIMATE FORECAST APPLICATIONS NETWORK, LLC — Department of Commerce SBIR Phase I: 8.3.1C
CLIMATE FORECAST APPLICATIONS NETWORK, LLC — SBIR Phase I award from Department of Commerce.
Phase I SBIR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from Department of Commerce in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $94,849. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code 8.3.1C links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $94,849
- Agency
- Department of Commerce · National Oceanic and Atmospheric Administration
- Program / Phase
- SBIR · Phase I
- Topic
- 8.3.1C
- NAICS
- —
- Place of performance
- GA
- Period
- 2015-08-27 → 2016-02-27
Description
The proposed research addresses Climate Adaptation and Mitigation: Probability Forecasts of Business Impact Variables from CFS2 Ensembles. Climate Forecast Applications Network (CFAN) develops innovative weather and climate forecast tools that support decision-oriented solutions for our clients. The focus of this proposal is on business-relevant subseasonal forecasts for the energy and agricultural sectors, including applications to renewable energy. Analysis of the reforecast library against observation and analyses enables predictability assessment of business-relevant variables by region, initial and target month, and enables predictability assessment and recent forecast errors to correct for model bias error to improve the shape of the ensemble distribution. A multi-model prediction system using the CFSv2 and ECMWF forecasts will be developed to exploit the advantages of each model using ensemble clustering techniques. A strategy for assessing confidence of each forecast is based on a comprehensive forecast evaluation, predictability assessment, and ensemble characteristics. A web-based dashboard system is designed to display and deliver the forecast information in a flexible manner to aid decision support integration. Commercial applications of the forecast products will be targeted at the energy and agricultural sectors in the U.S. and Asia.