FY 2016 U.S. IOOS FFO Published
The FY 2016 U.S. Integrated Ocean Observing System (IOOS®) Implementation Federal Funding Opportunity (FFO) was published on February 11, 2015. The FFO specifically requests proposals addressing 1) sustaining and enhancing comprehensive regional observing systems and 2) verification and validation of observing technologies for studying and monitoring coastal and ocean environments. The FFO can be found in Grants.gov by searching for the opportunity identifier, NOAA-NOS-IOOS-2016-2004378, or by searching the IOOS CFDA number 11.012.
Please visit, www.secoora.org/IOOS_2015_FFO, for more information.
The FY 2016 U.S. Integrated Ocean Observing System (IOOS®) Implementation Federal Funding Opportunity (FFO) was published on February 11, 2015. The FFO specifically requests proposals addressing 1) sustaining and enhancing comprehensive regional observing systems and 2) verification and validation of observing technologies for studying and monitoring coastal and ocean environments. The FFO can be found in Grants.gov by searching for the opportunity identifier, NOAA-NOS-IOOS-2016-2004378, or by searching the IOOS CFDA number 11.012.
Please visit, www.secoora.org/IOOS_2015_FFO, for more information.
Related news
Webinar: Implementing Vulnerability into Historic Hurricane Normalizations
The Southeast & Caribbean Disaster Resilience Partnership (SCDRP) and SECOORA are joining forces to kick off 2025 with a co-hosted webinar on January 23rd at 10 am. Our speaker is Kaylee Mooney, a graduate student at Florida Gulf Coast University. Kaylee won the 2023 SECOORA Data Challenge, and will be presenting on her winning project -- Implementing Vulnerability into Historic...
Happy Holidays from SECOORA!
Thank you for being part of the SECOORA network! We wish you a happy holiday season, and look forward to working with you to expand our impact in 2025.
Student Opportunity: Marine Heat Wave Position
SECOORA is seeking a graduate student or post-doc to examine ocean temperature regimes in the Southeast. This project will support a student to extract surface and subsurface temperature data from the SECOORA data portal, identify any data gaps, and conduct preliminary analysis.