Three gliders were in Hurricane Erin’s path: Helmholtz-Zentrum Hereon Glider ‘Echo’ passed in the NE eye of Category 4 Erin; AOML/CIMAS Glider SG668 passed ~7 nautical miles from the center of Category 3 Erin; and U.S. Navy glider (deployed by CARICOOS) NG783 passed ~5 nautical miles SW of Category 3 Erin. Glider data indicated ocean cooling beneath Erin, which informed the National Hurricane Center’s intensity forecast. NOAA Hurricane Hunters released dropsondes targeting the gliders as part of a coordinated, co-located observing effort to help scientists better understand Hurricane dynamics and improve forecasts.

Two new datasets have been published to the Ocean Biodiversity Information System USA (OBIS-USA) Node’s Integrated Publishing Toolkit (IPT) from the Arctic Marine Biodiversity Observation Network project! In late July, Katrin Iken (University of Alaska, Fairbanks) published two new Arctic epifauna datasets from Fall 2023 and Fall 2024. You can find these new datasets reflected in the U.S. IOOS metrics on the GBIF dashboard and the U.S. MBON dashboard on OBIS. .

Can Sharks Help With Hurricane Predictions? In the Mid-Atlantic, researchers at the University of Delaware’s School of Marine Science and Policy are taking an innovative approach to filling critical ocean data gaps—sharks. Specifically, tagging Shortfin Mako and Blue sharks with sensors that measure conductivity, temperature, and depth (CTD) to turn the sharks into mobile ocean observing platforms (OOPs). The data collected by these animals will help improve hurricane intensity forecasting models across the Mid-Atlantic Bight (MAB). Read more.

The 8.8 magnitude earthquake off the coast of Russia's Kamchatka peninsula on July 30 that sent a tsunami across the Pacific sparked renewed interest in tsunami waves. NANOOS posted links to NOAA NOS data showing the very different signatures depending on location, due to the geomorphology of the harbors and other factors. NANOOS also saw a bump of over 1000 new users of their Tsunami Evacuation app in one day! If you haven’t already, plot your evacuation route now, so you know it. (Note: the app does not generate or filter tsunami warnings, but you can use it to find your best evac route!), and catch NANOOS’ interview with KPTV!

At the NCSA Open Hackathon 2025, the OceanAI Innovators team, led by Dr. Hassan Moustahfid (IOOS), brought together experts from NOAA, GCOOS, Texas A&M, Mercator Ocean International, and OCEANUM.io. The team developed and tested an AI-driven forecasting and emulator model for predicting water levels, conducted preliminary optimization on the GPU acceleration and multi-GPU scaling. Next steps include scaling to larger datasets, such as IOOS observations, NOAA CORA-40 unstructured reanalysis, MOM6 reanalysis (via the CEFI data portal), and GLORYS12 structured products.

Wave data (height, period, and direction) are now available from two new oceanographic high-frequency radar stations in Oregon from NANOOS partner Oregon State University.  The wave data from these HF-radars, and others in Northern California from CeNCOOS partner CODAR Ocean Sensors and in the Mid-Atlantic from MARACOOS partner Rutgers University, can be viewed by selecting the Overlays → Waves option on the IOOS HFR National Network’s HFRNet.

Over the past four years, the Northeast Coastal Acidification Network community has worked together to identify the most critical needs for tracking ocean and coastal acidification in the Northeast U.S. and Eastern Canada, and the final 2025 “Ocean and Coastal Acidification Monitoring Priorities” report is now available! This resource draws upon the expertise of scientists, resource managers, and stakeholders across the region. We hope it informs your work and helps to coordinate future monitoring actions.

Operational BioTrack is seeking collaborators and data contributors to support the project, which expands on previous related efforts to assess and monitor biodiversity hotspots where marine species share habitat through the integration of animal telemetry. Find out more here.

This summer, AOOS deployed its two Imaging FlowCytoBots (IFCBs) in Alaskan waters. These IFCBs are connected to the flow-through seawater system of the vessels, and sample 5mL of water at a time to take images of individual particles in the water. Their primary targets are phytoplankton, particularly species that can lead to harmful algal blooms (HABs). For more information on IFCBs and where we will be deploying them this summer, please visit the Alaska Harmful Algal Bloom Network website.

SCCOOS has deployed a recently developed Spray2 underwater glider with a pH sensor for an extended mission on line 90 of the California Underwater Glider Network. This collaboration between SIO and MBARI combines cutting edge technology in autonomous underwater vehicles and biogeochemical sensors. The objective of the mission is to occupy the inshore half of line 90 for a period of at least three months. The Spray2 underwater glider is licensed to MRV Systems, who has delivered the first of their gliders during the past year.

Scientists at University of Southern California replaced a new dome style CODAR Ocean Sensor antenna and router at the Point Fermin site located in the San Pedro neighborhood of Los Angeles. These measurements measure surface currents, ocean observations that are foundational to oil spill response and recovery, search and rescue, ecosystem management, and much more.