Senior chemist working on the CSS contract with the Environmental Protection Agency’s (EPA) Superfund Technical Assessment and Response Team (START) supported the Guam Lab Chemicals Round Up in March of 2024 and July of 2025. During both mobilizations, START supported EPA’s mission to collect chemical waste items from across the U.S. island territory of Guam for off-island transport and disposal. As a field chemist, CSS employee owner supporting the effort conducted Hazard Categorization (HazCat) testing on hundreds of unlabeled waste items to help determine the most appropriate waste stream for safe shipping and disposal of each item. CSS employee owner used the EPA Region 9 GeminiTM Chemical Identification analyzer to identify chemicals that appeared to be in their original containers, but that had missing or weathered labels. START supported worker health and safety by conducting screening of the chemical collections and storage spaces for toxic and volatile gases, explosive limits, radiation, and mercury vapor prior to initiating work, and by conducting air monitoring for toxic and volatile gases, and explosive limits during all handling and packing of the chemical wastes.
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Developing a Database for Ecosystem Service Models
CSS scientists have been major developers and contributors to the online U.S. Environmental Protection Agency’s EcoService Models Library (ESML) database since its inception in 2012. The ESML database contains detailed but concise descriptions of ecosystem service models to facilitate the selection of models by ecosystem scientists for a variety of management and research applications. The…
Engaging in New and Emergent Satellite Technologies
CSS employee owners (formerly Riverside employees) support the National Oceanic and Atmospheric Administration’s (NOAA) National Environmental Satellite, Data, and Information Service’s (NESDIS) Center for Satellite Applications and Research (STAR). STAR is the science arm of NESDIS, which acquires and manages the nation’s environmental satellites for NOAA. Satellite observations are critical to informing situational awareness and…
Evaluating the Use of Earth Observations Digital Twin Technologies
Earth Observations Digital Twin technologies are data analytics, artificial intelligence, and advanced modeling technologies that provide an estimate of the true state of the Earth. An Earth Systems Digital Twin is observations-based and grid-flexible with multiple components and high-resolution data over space and time to capture all available observations and feed a variety of direct…