The Southern California Coastal Ocean Observing System (SCOOS) supports a mosaic of sustained ocean observing and modeling activities run in an operational setting and served on our data portal. It provides numerous data and model products designed to benefit local to regional end-users to improve management decisions for marine operations, fisheries, water quality, and ecosystem/public health. One such model is the California Harmful Algae Risk Mapping (C-HARM) system that generates three-day forecasts of coastal conditions conducive to harmful algal blooms (HAB) of Pseudo-nitzschia and its associated toxin, domoic acid.  One central aim at SCCOOS is to improve model products for key stakeholders currently underserved by routine HAB forecasts and to identify the physical and biological factors affecting HAB risk in California estuaries. This talk will delve into the various approaches taken by SCCOOS to meet end-user requirements and the quest to make predictive models that are most useful to stakeholders.

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