1. NWS Eastern Region Hydrologic Services Division George McKillop Collaborative Opportunities

2. Outline Formal Grant Programs Collaborative Organizations CHPS Collaborative Research Model – O2R2O

3. Funding Opportunities CSTAR COMET OHD – AHPS Innovation Theme Team NOAA Grants (Climate, Sea Grant) Congressional Directed Earmarks Other agencies NSF EPA NASA USGS

4. Collaborative Organizations NOAA Cooperative Institutes NOAA Regional Collaboration Teams (RECO) NART & SECART Sub-regional groups – NOAA in the Carolinas; in New England River Basin Commissions Customer Advisory Board (CAB) Federal “Water” Partners (USGS, USACE) Association of Floodplain Management (ASFPM) Universities Council On Water Resources (UCOWR)

5. CHPS CHPS? Collaboration Opportunity? Community Hydrologic Prediction System Water Resources Forecasting Program: “CHPS will engage NOAA and the external (federal and non-federal) research community to advance water prediction science …. and will augment NOAA’s capabilities to produce higher resolution water quantity and quality forecasts and information.” - Gary Carter NYCDEP Operations Support Tool (OST) OST will enable operators to more accurately predict storage levels to better manage movement of water through the reservoir system, and ultimately, to 9 million New Yorkers. "We look forward to collaboration with NYCDEP. The NWS helps New York manage its regional water resources effectively by providing high-quality hydrologic data and forecasts. Implementation of OST holds great promise to strengthen this partnership.” - Jack Hayes

6. Collaborative Research Model: O2R2O O2R: Operations to Research Planning: Survey Operational Forecasters What are the most challenging forecast scenarios? Where can research benefit operations? Communication – what new capabilities do researchers bring? Development: Formulate hypotheses, science questions Involvement: Collaborative interactions during research

7. Collaborative Research Model: O2R2O R2O: Research to Operations Step 1 – Discover & Share (only the beginning) A paper is not the end product: rather it is only the beginning Step 2 – Demonstrate added value (so what? show me!) Forecasters won’t use discovery until added value has been demonstrated Step 3 – Operational Implementation (practical?) User friendly, reliable, & efficient accessibility is a must. Step 4 – Mastery (by all, not just a few) Training & QC ensuring the effective utilization of discovery by the entire forecast staff is required. Step 5 – Periodical review (a necessity) Periodical review for the staff at least seasonal necessity.