Presentation is loading. Please wait.

Presentation is loading. Please wait.

US Army Engineer Research and Development Center U.S. IOOS MODEL VALIDATION CAPABILITY SURA SUPER-REGIONAL TEST BED Working across agencies to bring observations.

Published byAllison Osborne Modified over 9 years ago

Similar presentations

Presentation on theme: "US Army Engineer Research and Development Center U.S. IOOS MODEL VALIDATION CAPABILITY SURA SUPER-REGIONAL TEST BED Working across agencies to bring observations."— Presentation transcript:

1 US Army Engineer Research and Development Center U.S. IOOS MODEL VALIDATION CAPABILITY SURA SUPER-REGIONAL TEST BED Working across agencies to bring observations and models together in a natural coastal laboratory… USACE Field Research Facility Jeff Hanson US Army Corps of Engineers, Field Research Facility, Duck, NC

2 US Army Engineer Research and Development Center SURA SUPER-REGIONAL TEST BED Don Wright (SURA), Yesterday… Test Bed Goals 1. Develop skill metrics and evaluate model performance… Year 1 Products 1. Skill metrics and identification of key performance factors for test bed modeling regimes…

3 US Army Engineer Research and Development Center Analysis Performance Evaluation Model Diagnostics Interactive Model Evaluation and Diagnostics System Inundation Modeling Test Bed Skill Assessment Concept Inundation Modeling Systems WavesCirculation Atmosphere Storm Surge Research SURA Server Regional Observations

4 US Army Engineer Research and Development Center Graphical User Interface

5 US Army Engineer Research and Development Center AutoMEDS Demonstration on FRF SWAN Application http://www.frf.usace.army.mil/eve/modeling/

6 US Army Engineer Research and Development Center Features Stand-alone desktop model validation toolkit Based on published NOAA standards (Hess et. al., 2003; Zhang et.al., 2006). Robust error metrics: Erms, bias, Scatter Index, Skill Score Explore model errors as a function of time, space, event, etc. Performance Scores Performance scores range from 0 to 1 (1 is a perfect match) Synthesize error metrics across space and time Normalized to mean observed quantities A measure of error % relative to mean observed quantities

7 US Army Engineer Research and Development Center IMEDS Error Analyses Statistical Analyses Temporal correlation Quantile-Quantile (distributions) Peak event (peak over threshold) Parameters Added To-Date Winds Waves (Windsea and swell) Storm Surge Speed, Direction Height, Period, Direction Water level, High water marks Error Metrics RMS Error Bias, Angular bias Scatter Index Circular correlation Performance (Skill) Scores Coming Soon Target Plots

8 US Army Engineer Research and Development Center IMEDS Error Metrics Bias RMS Error Scatter Index Reference: Hanson, Tracy, Tolman and Scott, 2001. J. Oce. Atms. Tech., 26, 1614-1633 For n pairs of measurement (m) and hindcast (h) data…

9 US Army Engineer Research and Development Center IMEDS Error Metrics Angular Bias Circular Correlation Reference: Hanson, Tracy, Tolman and Scott, 2001. J. Oce. Atms. Tech., 26, 1614-1633 And for directional data…

10 US Army Engineer Research and Development Center IMEDS Skill Scores Bias Skill RMS Error Skill Scatter Index Skill Station Skill Total Skill Combine station scores using sample size weights Scores range from 0 to 1 1 = perfect agreement 0 = totally uncorrelated Scores are computed relative to mean observed quantities Average the 3 scores

11 US Army Engineer Research and Development Center Peak Over Threshold Extraction Peak Event Analysis Peak Event Statistics

12 US Army Engineer Research and Development Center FEMA Region III Storm Surge Project Hurricane Isabel Max Water Levels

13 US Army Engineer Research and Development Center FEMA Region III Storm Surge Study: Hurricane Isabel September 2003

14 US Army Engineer Research and Development Center FEMA Region III Storm Surge Study: Nor’Ida November 2009

15 US Army Engineer Research and Development Center Supported Data Formats Observed Data NDBC buoys NODC wind/wave stations NOS – includes detide option IMEDS Generic Format Model Output WW3 (*spc) SWAN (spec2d.out & TAB(opt)) ADCIRC Water-Level (fort.61) ADCIRC Wind (fort.72) Extract from SURA OpenDAP Server (netCDF file) IMEDS Generic Format

16 US Army Engineer Research and Development Center IMEDS Generic Format Sample File % IMEDS generic format version 1.0 – water-elevation % year month day hour min watlev (m) NOS UTC NAVD 8635750 37.9950 76.4650 2009 11 9 0 0 0.2440 2009 11 9 1 0 0.1580 2009 11 9 2 0 0.0530 2009 11 9 3 0 -0.0310 2009 11 9 4 0 -0.1000 5461421 36.8432 73.5591 2009 11 9 6 0 -0.1520 2009 11 9 7 0 -0.0900 2009 11 9 8 0 0.0140 Station Data

17 US Army Engineer Research and Development Center IMEDS Set Up GUI Sample File

18 US Army Engineer Research and Development Center Accomplishments to Date IMEDS posted on SURA Server with illustrated users guide Develop data interface to SURA OpenDAP server Implement generic text file interface User-defined graphics export formats (jpeg, png, fig, etc…) Prototype Target Plot

19 US Army Engineer Research and Development Center Want to use IMEDS? Download IMEDS from SURA Server Review fully illustrated users guide Ensure observation data are in native format (NOS, NODC, etc) or IMEDS Text format Export model results in IMEDS generic text format Seek help as needed from CI group and/or USACE Put IMEDS to work for you!

Download ppt "US Army Engineer Research and Development Center U.S. IOOS MODEL VALIDATION CAPABILITY SURA SUPER-REGIONAL TEST BED Working across agencies to bring observations."

Similar presentations

Research Lead  The University of North Carolina at Chapel Hill CHC-R 5 th Annual Meeting January 31-February 1, 2013 Coastal Wave – Surge Modeling R.

Research Lead  The University of North Carolina at Chapel Hill CHC-R 5 th Annual Meeting January 31-February 1, 2013 Coastal Wave – Surge Modeling R.
1 End-User Evaluation of the NC-CERA Storm Surge Visualization Tool Jessica Losego Institute for the Environment University of North Carolina at Chapel.

1 End-User Evaluation of the NC-CERA Storm Surge Visualization Tool Jessica Losego Institute for the Environment University of North Carolina at Chapel.
Quantification of Spatially Distributed Errors of Precipitation Rates and Types from the TRMM Precipitation Radar 2A25 (the latest successive V6 and V7)

Quantification of Spatially Distributed Errors of Precipitation Rates and Types from the TRMM Precipitation Radar 2A25 (the latest successive V6 and V7)
Modeling to Revise Coastal Inundation and Flooding Estimates in Georgia and Northeast Florida Association of State Flood Plain Managers Conference May.

Modeling to Revise Coastal Inundation and Flooding Estimates in Georgia and Northeast Florida Association of State Flood Plain Managers Conference May.
US Army Corps of Engineers BUILDING STRONG ® Great Lakes Flood Hazard Mapping Project - Data Development (Lake Michigan) Bruce Ebersole USACE Engineer.

US Army Corps of Engineers BUILDING STRONG ® Great Lakes Flood Hazard Mapping Project - Data Development (Lake Michigan) Bruce Ebersole USACE Engineer.
NERACOOS: Unlocking the power of data Riley Young Morse | Gulf of Maine Research Institute.

NERACOOS: Unlocking the power of data Riley Young Morse | Gulf of Maine Research Institute.
1 Demonstration of Methodology Expert Panel Open Meeting Austin, Texas November 12, 2014.

1 Demonstration of Methodology Expert Panel Open Meeting Austin, Texas November 12, 2014.
Super-Regional Testbed for Improving Forecasts of Environmental Processes for the U.S. Atlantic and Gulf of Mexico Coasts The Role of the SURA Testbed.

Super-Regional Testbed for Improving Forecasts of Environmental Processes for the U.S. Atlantic and Gulf of Mexico Coasts The Role of the SURA Testbed.
NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES Improvements to the CO-OPS Storm QuickLook Product for Real-Time Storm Surge Monitoring.

NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES Improvements to the CO-OPS Storm QuickLook Product for Real-Time Storm Surge Monitoring.
Tolman and friends, Feb. 6, 2008Coastal Altimetry 1/23 Altimeter wave data Deep ocean and coastal use and issues Hendrik L. Tolman NOAA / NWS / NCEP /

Tolman and friends, Feb. 6, 2008Coastal Altimetry 1/23 Altimeter wave data Deep ocean and coastal use and issues Hendrik L. Tolman NOAA / NWS / NCEP /
Research Lead  The University of North Carolina at Chapel Hill CHC-R 5 th Annual Meeting January 31-February 1, 2013 AdcircLite-NC Rapid computation of.

Research Lead  The University of North Carolina at Chapel Hill CHC-R 5 th Annual Meeting January 31-February 1, 2013 AdcircLite-NC Rapid computation of.
Research Lead  The University of North Carolina at Chapel Hill CHC-R 5 th Annual Meeting January 31-February 1, 2013 1.

Research Lead  The University of North Carolina at Chapel Hill CHC-R 5 th Annual Meeting January 31-February 1,
Impact of Hurricanes on Nutrient Transport from Catchment to Coast: An Integrated Case Study of Mobile Bay and its Watershed Northern Gulf Coastal Hazards.

Impact of Hurricanes on Nutrient Transport from Catchment to Coast: An Integrated Case Study of Mobile Bay and its Watershed Northern Gulf Coastal Hazards.
Development of Quality Monitoring System on satellite Sea Surface Salinity Products Yongsheng Zhang NESDIS/NODC – UMD College Park/ESSIC/CICS.

Development of Quality Monitoring System on satellite Sea Surface Salinity Products Yongsheng Zhang NESDIS/NODC – UMD College Park/ESSIC/CICS.
Evaluation of the NC-CERA Storm Surge and Wave Visualization Tool by Emergency Managers Jessica Losego University of North Carolina - Institute for the.

Evaluation of the NC-CERA Storm Surge and Wave Visualization Tool by Emergency Managers Jessica Losego University of North Carolina - Institute for the.
Office of Coast Survey NOS Coastal and Surge Modeling 2011 NCEP Production Suite Review Jesse C. Feyen Coast Survey Development Laboratory.

Office of Coast Survey NOS Coastal and Surge Modeling 2011 NCEP Production Suite Review Jesse C. Feyen Coast Survey Development Laboratory.
National Data Buoy Center Presented to the QARTOD III Workshop November 2, 2005 Wave Data Quality Control Chung-Chu Teng.

National Data Buoy Center Presented to the QARTOD III Workshop November 2, 2005 Wave Data Quality Control Chung-Chu Teng.
Time Series Analyst An Internet Based Application for Viewing and Analyzing Environmental Time Series Jeffery S. Horsburgh Utah State University David.

Time Series Analyst An Internet Based Application for Viewing and Analyzing Environmental Time Series Jeffery S. Horsburgh Utah State University David.
Integrating NDFD with GIS Billy Brooks I.M. Systems Group, Inc. NOAA/NOS/Coastal Services Center NDFD Technical Workshop November 2, 2006.

Integrating NDFD with GIS Billy Brooks I.M. Systems Group, Inc. NOAA/NOS/Coastal Services Center NDFD Technical Workshop November 2, 2006.
United States Coast Guard 1985 Evaluation of a Multi-Model Storm Surge Ensemble for the New York Metropolitan Region Brian A. Colle Tom Di Liberto Stony.

United States Coast Guard 1985 Evaluation of a Multi-Model Storm Surge Ensemble for the New York Metropolitan Region Brian A. Colle Tom Di Liberto Stony.

Similar presentations

Ads by Google