SECOORA is delighted to announce the release of the Harmful Algal Bloom Plan 2.0. This updated plan builds upon the successes and lessons learned from its predecessor – taking into account advancements in technology, research, investments, and stakeholder engagement.
The new version overviews the mounting problem of Sargassum mats washing ashore in the Southeast U.S., Gulf of Mexico, and Caribbean islands. The Sargassum Watch System (SaWS), developed by Dr. Chuanmin Hu and his team at the University of South Florida, is a tool to forecast and monitor Sargassum trajectory and location. SECOORA provides funding to Dr. Hu to improve his high-resolution imagery products to allow for local beach monitoring.
A new graphic highlights our HAB investments by state, incorporating our new projects in Florida and Georgia. SECOORA partners employ a wide range of methods and technologies (buoys, gliders, and ship-based field surveys, as well as satellite remote sensing) to observe and monitor HABs.
The Harmful Algal Bloom Plan 2.0 serves as a strategic guide, outlining a collaborative vision that will guide future investments, foster innovation, and strengthen partnerships to address the challenges posed by HABs in the SECOORA region.
Click here to view a PDF of the plan. The HAB plan is an addendums to the Regional Coastal Ocean Observing System Strategic Operational (RCOOS).
Webinar: Developing low-cost and open-source technologies for smart coastal communities
Join us Thursday, February 22nd at 12 PM ET for SECOORA's Coastal Observing in Your Community Webinar Series! Our speaker this month is Dr. Phil Bresnahan from the University of North Carolina Wilmington.
SECOORA Request for Quotes: Operate Nationwide Coastal Web Camera Network
SECOORA is soliciting proposals focused on installing, maintaining, and operating web cameras to scale from a regional to a national network of coastal web cameras (WebCOOS).
Meet the Winner of the 2023 SECOORA Data Challenge
Kaylee Mooney, a graduate student from Florida Gulf Coast University, is the winner of the SECOORA Data Challenge for her proposal Implementing Vulnerability into Historic Hurricane Normalizations.