- Success Stories
- Environmental Resource Assessment & Management
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 database contains over 290 ecosystem service models, with additional entries for specific model runs. CSS employee owners helped design the database and the framework for summarizing models. In addition, CSS has selected models from the database for generating scenarios of remediation options for specific Superfund sites to identify the ecosystem services they could provide. Models that have been applied include pollinator (e.g., bumblebee), carbon sequestration, and bird ecosystem services. The database can be accessed at www.epa.gov/eco-research/ecoservice-models-library/.
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An Approach to Assessing Laboratory Space
CSS employee owners were part of a team of scientists at the National Institutes of Health who developed an approach to evaluating new laboratory space to determine if the space will fit operational needs. This concept, titled The BaseLINE Approach, combines traditional safety processes with additional safety and environmental factors to assess before operations begin.…
Training Staff for Handling Hazardous Waste and Responding to Chemical Spills
CSS employee owners provide on-site support to the Centers for Disease Control and Prevention (CDC) Hazardous Waste Program at several campuses around the country: Atlanta, Georgia, San Juan, Puerto Rico, and Fort Collins, Colorado. With 22 years of experience, CSS staff are responsible for providing training to laboratory and facilities staff to ensure safe handling of hazardous waste to avoid harmful…
Advancing Severe Weather Predictions with Artificial Intelligence
As artificial intelligence (AI) and machine learning (ML) technologies evolve in Earth sciences, CSS employee owners (formerly Riverside staff) are growing our expertise in this field. CSS employee owners are advancing technologies for our client, NOAA’s Center for Satellite Applications and Research (STAR). Our staff have developed a framework, exploiting modern AI/ML techniques, to rapidly…