Presentation is loading. Please wait.

Presentation is loading. Please wait.

Kodi Monroe Sea Grant Weather & Climate Extension Agent National Severe Storms Laboratory Norman, OK CI-FLOW Project Coastal & Inland Flooding Observation.

Similar presentations


Presentation on theme: "Kodi Monroe Sea Grant Weather & Climate Extension Agent National Severe Storms Laboratory Norman, OK CI-FLOW Project Coastal & Inland Flooding Observation."— Presentation transcript:

1 Kodi Monroe Sea Grant Weather & Climate Extension Agent National Severe Storms Laboratory Norman, OK CI-FLOW Project Coastal & Inland Flooding Observation and Warning

2 Origin of the CI-FLOW Project Initiated in response to Hurricanes Dennis & Floyd in Sep 1999 20-25 in of rain over 10 days River crests up to 24 ft above flood stage Storm surge as high as 10 ft Impacts 52 lives lost in North Carolina Homes: 7,000 destroyed; 17,000 uninhabitable; 56,000 damaged 30,000 hogs, 700,000 turkeys, & 2.4 million chickens drowned Warnings that tap water may contain high levels of fecal coliform bacteria

3 History of the CI-FLOW Project 2000: NOAA OAR & National Sea Grant Meeting Increase collaboration between Sea Grant Extension Network & OAR research labs Established Inland FLood Warning (IFLOW) Project to force OU hydrologic model with NSSL precipitation estimates National Sea Grant Office North Carolina Sea Grant S.C. Sea Grant Consortium

4 History of the CI-FLOW Project 2001: NCSU joins IFLOW Coupled hydrologic model forced with NSSL precipitation estimates to Coastal & Estuary Model & Environmental Prediction System (CEMEPS) 2006: IFLOW becomes CI-FLOW Sea Grant funds Weather & Climate Extension Agent position at NSSL NWS hydrologic model (HL-RDHM) implemented National Sea Grant Office North Carolina Sea Grant S.C. Sea Grant Consortium

5 History of the CI-FLOW Project 2008: CI-FLOW expands NOAA SECART funds nowCOAST portal OU & UNC researchers join CI-FLOW to include ADvanced CIRCulation model + unstructured Simulating WAves Nearshore model 2010: Hurricane Earl is first real-time test of CI-FLOW Established relationship with EPA 2011: Hurricane Irene is first robust test of CI-FLOW National Sea Grant Office North Carolina Sea Grant S.C. Sea Grant Consortium Texas Sea Grant

6 CI-FLOW Partners

7 Increasing Hydrologic Forecasting Capabilities In Coastal Watersheds Current NWS Forecast PointsCI-FLOW Forecast Points

8 CI-FLOW Precipitation Past rainfall: NSSL’s Next Generation QPE (Q2) Best practices of OHD’s Multi-sensor QPE (MPE) & NSSL’s National Mosaic & Multi-sensor QPE (NMQ) Gauge-adjusted 1-hour accumulation Uncorrected QPE available every 5 min at 1-km resolution Future rainfall: Hydrometeorological Prediction Center’s QPF 6-hour accumulation http://nmq.ou.edu

9 CI-FLOW Hydrologic Modeling Tar-Pamlico & Neuse river basins Hydrology Laboratory – Research Distributed Hydrologic Model (HL-RDHM) by NWS Hybrid conceptual-physical distributed watershed model: – Sacramento Soil Moisture Accounting model (SAC-SMA) – Kinematic Wave Model for routing – 4-km resolution – 19 parameters; 6 state variables

10 CI-FLOW Hydrologic Model Ensemble 1.“Event-based” parameter set (Isabel) x 16 rainfall multipliers (0.8-1.2, uniformly distributed) 2.“Automatic” parameter set x 16 rainfall multipliers 3.Multiple basin scale parameter set x 16 rainfall multipliers 4.A-priori model (uncalibrated) x 5 rainfall multiplier x 16 channel routing perturbations = 80 Total Number of Members = 16x3 + 80 = 128 Runs every 6 hours with rainfall forcing from NMQ/Q2 observations for past & HPC QPFs for future times

11 CI-FLOW Storm Surge Model ADvanced CIRCulation + Simulating WAves Nearshore Asymmetric Vortex Wind Model – Uses official track, forward speed, radius to maximum winds, central pressure & other information from NHC advisories 2-D ADCIRC – Tides & tidal potential – River input provided by HL-RDHM at 4 hand-off points – Wind waves – Wetting/drying of elements SWAN: Spectral wave model – Waves in all 360 degrees – Wave action balance equation with sources/sinks

12 CI-FLOW Storm Surge Model ADvanced CIRCulation + Simulating WAves Nearshore Unstructured finite element grid High resolution for the Tar & Neuse Rivers, Outer Banks, & Pamlico Sound (down to 30 – 60 m) Dynamic coupling between ADCIRC & SWAN – Predictions of total water level, maximum inundation, wave height, wave period, & tides

13 Distribution of Information NSSL Password-protected Website – mimics NWS AHPS

14 Distribution of Information Coastal Environmental Risks Assessment http://nc-cera.renci.org/cgi-cera_nc/cera_nc.cgi

15 Distribution of Information Coastal Environmental Risks Assessment

16 Distribution of Information Google Earth kmz files – available via OPeNDAP

17 Distribution of Information NOAA nowCOAST http://nowcoast.noaa.gov/ciflow/

18 CI-FLOW User Engagement Primary Users Raleigh, NC NWS Weather Forecast Office Newport/Morehead City, NC NWS Weather Forecast Office NWS Southeast River Forecast Center Secondary Users (briefed by NWS forecasters) Local Emergency Managers (communities & universities) State Emergency Management – North Carolina & Virginia – NC Central & Eastern Branches North Carolina Department of Transportation

19 Future CI-FLOW Work Account for rainfall over ADCIRC domain Water quality modeling Expand to other regions: South Carolina, Texas, Louisiana Kodi Nemunaitis-Monroe Kodi.Nemunaitis@noaa.gov http://www.nssl.noaa.gov/ciflow/


Download ppt "Kodi Monroe Sea Grant Weather & Climate Extension Agent National Severe Storms Laboratory Norman, OK CI-FLOW Project Coastal & Inland Flooding Observation."

Similar presentations


Ads by Google