Implementation of the Community Hydrologic Prediction System David R. Vallee Hydrologist-in-Charge NOAA/NWS Northeast River Forecast Center Eastern Region.

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Presentation transcript:

Implementation of the Community Hydrologic Prediction System David R. Vallee Hydrologist-in-Charge NOAA/NWS Northeast River Forecast Center Eastern Region Flash Flood Conference

2 Topics ► Background ► What is CHPS? ► Hydrology community benefits ► Project Organization ► Risk reduction forecast offices ► Transition challenges ► Operations benefits

3 Background ► Today’s NWS River Forecast System (NWSRFS) has been the NWS hydrologic forecasting foundation for over 30 years ► NWSRFS architecture hinders use of recent advances in interactive forecasting and modeling ► NWS needs an improved hydrologic modeling infrastructure to leverage community operational concepts and models as well as provide future products and services ► The Community Hydrologic Prediction System (CHPS) will replace NWSRFS ► For more information, see the NWS OHD CHPS web site (

4 What is CHPS? ► CHPS is both a system and a concept  Open forecasting system to promote model & data sharing  NOAA reaching out to hydro community ► CHPS uses Delft-FEWS from Deltares (Dutch Foundation) as core infrastructure  FEWS: Flood Early Warning System  Model adapter concept for algorithm modularity  Sophisticated data and workflow handling for models  Comprehensive forecaster user interface and displays (the IFD)  Highly configurable modeling environment via XML files ► Initially, includes NWSRFS models and USACE models (HEC-RAS and HEC-ResSim) ► Later, can include models from other providers

5 CHPS and FEWS FC FEWS FEWS Models NWS Models USACE Models Other Models CHPS Models from Federal, State, Local, University and international researchers

6 FEWS Development – Past 10 Years ► First FEWS system: 1992 in Sudan  Blue Nile, Atbara & White Nile  Used Sacramento Rainfall-Runoff, HD routing & Reservoir models ► 1997/1998 more flexible FEWS system deployed in Pakistan & Czech Republic ► 1999 European Flood Forecasting System (EFFS) was developed  Modernize flood forecasting capabilities  Birth of the Java style FEWS  Also became the operational system in Switzerland & the Netherlands ► 2002 Environment Agency, UK adopted FEWS as its Forecasting System  Birth of FEWS 2.0 – configured as a client-server system

7 Global User Community

8 The NWS Path to FEWS ► 2003: OHD initiated exploration of a replacement for NWSRFS ► 2005: Several candidates considered – including Delft-FEWS ► 2006: ABRFC, NCRFC, NWRFC and CNRFC volunteered to work with OHD to evaluate candidates  (CHPS Acceleration Team or CAT) ► 2007: Selected Delft-FEWS as the candidate for CHPS ► 2008: Gary Carter approved decision; proceed with implementation of Delft-FEWS as the CHPS software infrastructure  NERFC brought on board to replace NCRFC as a CAT member  NOHRSC added as well  NWSEO brought on board to help develop path toward operational testing, evaluation and impact and implementation

9 Hydrology Community Benefits ► Key motivation for community is to broaden and accelerate research to operations  Meteorological example: The Weather Research and Forecasting (WRF) Model (  Enhance understanding of hydrologic forecasting within hydrologic research community ► Hydrology community includes  NOAA line offices  other U.S. Federal agencies (e.g., USACE, USGS, USBR)  U.S. Universities (e.g.,  International researchers ► NWS to make CHPS and hydro models available

Risk Reduction River Forecast Offices ► Goal to create and validate transition path for 9 follow-on RFCs based on CAT RFCs’ experiences with one year lead in schedule ► Support for follow-on 9 RFCs from the 4 risk reduction RFCs  Each CAT RFC to assist 2 – 3 “buddies”  “Buddy” visits were conducted in March through July of 2010  Migration activities at these 9 RFCs are in progress ► Also key to risk reduction was establishment of a clear set of “Baseline” Operational Capabilities to avoid requirements creep ► CAT RFCs have moved into some degree of parallel execution with NWSRFS 10

11 The CHPS Interactive Forecaster Display

12 Transition Challenges ► Challenges are technical  Must not disrupt daily forecasting  Must assure hydro models perform the same within new infrastructure  Must assure model performance not degraded while taking opportunity to move to gridded meteorological forcings ► Challenges are cultural  NWS forecasters require training  NWS researchers and programmers need to re-orient to highly configurable environment ► Field support requires new paradigm that includes support of external models ► Operating in a truly community oriented environment within the U.S. and abroad

13 Operations Benefits ► More flexibility to address upcoming major service enhancements  Short term ensemble forecasts  Gridded hydrologic modeling  Gridded water resources forecasts ► Simpler and accelerated research to operations path ► Take advantage of community- developed models ► Simpler and lower cost of software maintenance and addition of small enhancements  NWS developers concentrate on hydrology not infrastructure

14 WFO Benefits ► More efficient and timely delivery of forecasts ► With the infusion of new science and modeling – improved forecasts for short/long range ► Collaborative hydrologic/hydraulic modeling activities  Site Specific  International Partners – New Brunswick, Canada, NERFC and WFO Caribou, ME ► Potential for a CHPS Client to reside at the WFO ► Improved collaboration between RFCs and WFOs

Implementation of the Community Hydrologic Prediction System Questions???? David R. Vallee Hydrologist-in-Charge NOAA/NWS Northeast River Forecast Center Eastern Region Flash Flood Conference

16 Backup Slides

Models in FEWS 17 ModelTypeSupplier/OwnerCountry ISISHydrodynamicsHR/HalcrowUK PDMRainfall-RunoffCEHUK TCMRainfall-RunoffCEHUK KW Routing (kinematic wave) CEHUK PACK Snow Melt CEHUK ARMA Error Correction CEHUK PRTF Event Based RR PlanBUK TRITON Surge propagation/Overtopping PlanBUK STF Transfer functions EAUK DODO Routing (layered Muskingum) EAUK MCRMRainfall-RunoffEAUK Modflow96/VKD 3D groundwater Deltares/Adam Taylor Netherlands/UK Mike11HydrodynamicsDHIDenmark NAMRainfall-RunoffDHIDenmark LISFLOOD Distributed Rainfall-Runoff JRCItaly TOPKAPIRainfall-Runoff Univ. of Bologna Italy HBV Rainfall-Runoff (inc snowmelt) SHMISweden Vflo Distributed Rainfall-Runoff Vieux & Assiciates USA SWMM Urban Rainfall-Runoff USGSUSA HEC-RASHydrodynamicsUSACEUSA Snow17 Snow Melt NWSUSA SACSMARainfall-RunoffNWSUSA Unit-HUnit-HydrographNWSUSA PRMSRainfall-Runoff Univ. of Karlsruhre Germany SynHPHydrodynamicsBfGGermany SOBEK Hydrodynamics, Water Quality, RR DeltaresNetherlands SOBEK-2d Linked 1d/2d inundation modelling DeltaresNetherlands SacramentoRainfall-RunoffDeltaresNetherlands RIBASIM Water distribution + Reservoir DeltaresNetherlands REW Distributed Rainfall-Runoff DeltaresNetherlands DELFT3D 2/3D Hydrodynamics/ Water quality DeltaresNetherlands TWAM 2D Hydrodynamics PlanBUK