NOAA Ocean Technology Transition Funding Opportunity
Published by Water Network Research, Official research team of The Water Network for NOAA National Oceanic & Atmospheric Administration
NOAA Ocean Technology Transition Funding Opportunity
National Oceanic and Atmospheric Administration (NOAA) US IOOS FY 2023 Ocean Technology Transition (OTT) Funding Opportunity
Funding Opportunity Description: The U.S. Integrated Ocean Observing System (IOOS®) is soliciting proposals for the transition to operations of sensors, data management, and other technical capabilities that will improve our ability to monitor and forecast environmental conditions with greater efficiency. The primary objective of IOOS’ Ocean Technology Transition Project (OTT) is to enhance the successful transition of ocean observing, product development and data management technologies for the ocean, coastal and Great Lakes. This is accomplished by investing in the transition of emerging and promising marine and Great Lakes observing technological capabilities from the mid to latter phases of research into operational status. One specific area of interest are HAB sensors and sensor platforms including deployment of sensors on new platforms.
In FY 2023-2024, it is estimated that up to $7.5 million/year will be available. Awards are for up to $400,000/year for up to three years. Multiple awards are anticipated, subject to availability of funds. More info about the U.S. IOOS Ocean Technology Transition Program are at: https://ioos.noaa.gov/project/ocean-technologytransition/
The FFO and other related information can be obtained by searching on the opportunity number in grants.gov via this link: NOAA-NOS-IOOS-2023-2007492.
Letters of Intent (LOI) are highly recommended but not required. LOIs are due by 11:59 p.m. EST on October 21, 2022. Full proposals are due by 11:59 PM EST on January 17, 2023.
Please contact Tiffany Vance [tiffany.c.vance@noaa.gov] if you have any questions.
Information
- Location: United States
- Starts , ends
Taxonomy
- Data Management
- Remote Sensing & Data Analysis
- Envirionmental Data Management
- Data Processing
- Data & Analysis
- Data Science
- Data Analysis
- Weather