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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Probabilistic subseasonal weather forecasts for the energy & agricultural sectors

    SBC: CLIMATE FORECAST APPLICATIONS NETWORK, LLC            Topic: 831C

    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 agricultura ...

    SBIR Phase I 2015 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Novel Method for Ground-based GNSS Radio Occultation Measurement

    SBC: PROPAGATION RESEARCH ASSOCIATES, INC            Topic: 861X

    Propagation Research Associates, Inc., (PRA) proposes to redesign our existing Enhanced Tropospheric Effects Compensation ground-based radio occultation (RO) measurement system, which was developed, prototyped, and demonstrated under previous SBIR contracts, for the purpose of optimizing cost and performance. Assimilation of space-based RO measurements into numerical weather models is a proven met ...

    SBIR Phase I 2015 Department of CommerceNational Oceanic and Atmospheric Administration
  3. A Stochastic Integration Toolkit fo rComprehensive Global Weather and Climate Models

    SBC: Argos Intelligence, LLC            Topic: 823

    Stochastic parameterization of large scale models is becoming an important tool for evaluating climate predictability and for enabling accurate representation of effects of micro-scale and short time physics on long time climate statistics. The models currently used to evaluate climate risk do not incorporate these stochastic effects, but represent multi-year development and collaboration between ...

    SBIR Phase II 2010 Department of Commerce
  4. Automated Broadband Identification of Bottom Fish

    SBC: Scientific Fishery Systems, Inc            Topic: N/A

    N/A

    SBIR Phase I 1995 Department of Commerce
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