Collaborative Opportunities
NWS Eastern Region
Hydrologic Services Division
George McKillop
Outline
 Formal Grant Programs
 Collaborative Organizations
 CHPS
 Collaborative Research Model – O2R2O
Funding Opportunities
 CSTAR
 COMET
 OHD – AHPS Innovation Theme Team
 NOAA Grants (Climate, Sea Grant)
 Congressional Directed Earmarks
 Other agencies
 NSF
 EPA
 NASA
 USGS
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)
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 NewYork
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
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
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.