We're partners in the Salish Sea Hydrophone Network!Click the red dot on San Juan Island on the map above to listen to the Lime Kiln hydrophone.
The Salish Sea Hydrophone Network consists of a series of underwater microphones (hydrophones) throughout the Salish Sea, and is an experimentation in sharing real-time underwater sounds. Together with our partners, the goal of this network is to detect Orca sounds and measure ambient noise levels present in the habitat of the endangered Southern Resident orcas. Over the years, a growing coalition of scientists, educators and citizens has been working together to expand this network of hydrophones.
Through our SeaSound Remote Sensing Network program, we maintain a hydrophone array just off Lime Kiln Point State Park, on the West side of San Juan Island, and we hope to add more locations in the future. Our researchers work from the research station housed in the Lime Kiln lighthouse for monitoring and recording.
You can listen to live and recorded sounds from each location in the Salish Sea Hydrophone Network, including Lime Kiln Point, Neah Bay, Orcasound, Port Townsend and Seattle. If you don't hear anything interesting live, you can listen to archived sounds from each location.
Establishing and maintaining a hydrophone array is expensive. Did you know that it costs over $400 each time we send divers down to do maintenance on our hydrophones?
Funding for the SeaSound Remote Sensing Network comes out of The Whale Museum's general operating budget, periodic contract funding through NOAA, and occasional contributions. You can help support our efforts by making a donation, adopting an orca or becoming a museum member.
The SeaSound Remote Sensing Network, Salish Sea Hydrophone Network and audio streaming are a collaborative project with our partners:
Help notify researchers when orcas are in the Salish Sea! If you hear killer whales, please email firstname.lastname@example.org or log your observations in a collaborative Google spreadsheet. You can use the Salish Sea sound tutor to learn how to tell which pod is present based on the calls they most often use.