- Success Stories, Uncategorized
- Environmental Resource Assessment & Management
Organizing National Mussel Watch Program Sample Collection Missions
Established in 1986, NOAA’s National Mussel Watch Program has been systematically monitoring nearly 600 chemical contaminants (including legacy organic contaminants, trace metals, and contaminants of emerging concern) and biological indicators for the establishment of baseline contamination levels in coastal waters around the U.S., including the Great Lakes, Puerto Rico, and U.S. Virgin Islands. CSS employee owners have played an integral role in supporting this effort.
Each year the Mussel Watch Program Coordinator — a role filled by a CSS employee owner — devises a schedule, organizes missions, establishes local partnerships, and ships materials to collection sites. Additionally, the program coordinator meets with the partners and collection teams prior to collection missions to provide specific guidance on collecting and preparing samples, packing sample bags, filling in data sheets, taking photos, packing the coolers with ice, and shipping samples to the laboratory. This coordination is critical to ensuring collection missions are successful.

A substantial collaboration in the 2026 South Atlantic Coast collection survey was with the South Carolina Department of Natural Resources (SCDNR). CSS employee owners joined SCDNR for sample collection along the South Carolina coast, leveraging their boats, equipment, and resources. Two teams volunteered to collect samples at 16 sites, coinciding with adjacent SCDNR collection sites needed for their own projects and research. For each site, the team collected three resealable bags of oyster samples, and recorded water quality data at each location. The team double bagged the samples, packed them on ice in coolers with specific labeling, and shipped them to the laboratory where they will be analyzed.


CSS employee owners will work with the Mussel Watch Program federal lead to summarize the laboratory results and publish a series of technical memoranda. This data and information can help regional managers and stakeholders understand historic and current trends as they develop strategies to monitor and assess contaminants in the region.
Visit the website to learn more about the Mussel Watch Program.
This effort supports the RPI-CSS joint venture contract with NOAA’s National Centers for Coastal Ocean Science.
See More CSS Insights
New Release: Aquaculture Atlas for the Gulf of Alaska
The National Oceanic and Atmospheric Administration (NOAA) has published An Aquaculture Opportunity Area Atlas for the Gulf of Alaska, which identifies 77 potential options in 10 study areas for establishing commercial seaweed and shellfish mariculture in Alaska state waters. For nearly three years, CSS employee owners have been working with partners through our contract with NOAA’s National Centers for Coastal Ocean Science (NCCOS) to support this extensive, cross-agency effort. Since 2023, CSS has supported NCCOS with this collaborative effort,…
Supporting the Launch of NOAA Data to Inform More Resilient Infrastructure Designs and Structures
Congratulations to NOAA for launching their new Typical Meteorological Year product, developed by the National Centers for Environmental Information (NCEI) as part of the industry initiative. This effort helps make environmental data actionable for architects and engineers designing the next generation of resilient infrastructure. CSS is proud to support this effort and our employee owners who contributed to this product. The Typical Meteorological Year (TMY) product provides location-specific…
Atmospheric Processing System Support
The NOAA Unique Combined Atmospheric Processing System (NUCAPS) is an operational retrieval algorithm that NOAA’s National Environmental Satellite, Data, and Information Services has been using since 2002. This system generates near real-time atmospheric profiles of temperature, water vapour, and trace gases, as well as Outgoing Longwave Radiation (OLR) needed for weather forecasting. CSS Remote Sensing…
