1. TCARI Goes Operational: Improvements for Field Use and the Development of an Error Model Barry Gallagher LCDR Rick Brennan Monica Cisternelli Stephen Gill Barry Gallagher LCDR Rick Brennan Monica Cisternelli Stephen Gill

2. hours MLLW

4. Discrete Tide Zoning

5. Shortfalls of Discrete Tide Zoning The inability to account for inequalities in the high water and low water intervals.The inability to account for inequalities in the high water and low water intervals. Final water levels applied to a polygon are based on a single gauge; therefore unable to account for changes in tide type (i.e. diurnal, semi-diurnal, or mixed).Final water levels applied to a polygon are based on a single gauge; therefore unable to account for changes in tide type (i.e. diurnal, semi-diurnal, or mixed). Introduce a “step” in the digital elevation model.Introduce a “step” in the digital elevation model. The geographic polygons are computed manually - severely limiting the size and number that may be reasonably created.The geographic polygons are computed manually - severely limiting the size and number that may be reasonably created.

6. TCARI overcomes discrete zoning weaknesses.TCARI overcomes discrete zoning weaknesses. Originally developed by Dr. Kurt Hess in 1995 at NOAA’s Coast Survey Development Laboratory.Originally developed by Dr. Kurt Hess in 1995 at NOAA’s Coast Survey Development Laboratory. Separates water levels into tidal and non- tidal components and interpolates each separately.Separates water levels into tidal and non- tidal components and interpolates each separately. Interpolates Tidal Constituents, Residual water level, and desired vertical datum across project area.Interpolates Tidal Constituents, Residual water level, and desired vertical datum across project area. Tidal Constituent And Residual Interpolation (TCARI)

7. TCARI Tidal component may be broken down into its “harmonic constants”.Tidal component may be broken down into its “harmonic constants”. 37 Used by NOAA.37 Used by NOAA. Describes orbital frequencies and precession.Describes orbital frequencies and precession.

8. TCARI Non-tidal is induced by weather and riverine discharge.Non-tidal is induced by weather and riverine discharge. Residual

9. TCARI Enhancements Ported from Fortran to PythonPorted from Fortran to Python Operates within NOAA’s in-house software PydroOperates within NOAA’s in-house software Pydro Utilizes Pletzer and Mollis Ellipt2D solver to interpolate.Utilizes Pletzer and Mollis Ellipt2D solver to interpolate. Has two tool kits to support both project preparation and field data applicationHas two tool kits to support both project preparation and field data application Includes a complete water level uncertainty modelIncludes a complete water level uncertainty model Writes Caris Line-Tide files directly into HDCS data using HIPS I/O LibraryWrites Caris Line-Tide files directly into HDCS data using HIPS I/O Library

10. Project Preparation Import high resolution shoreline NGSImport high resolution shoreline NGS Establish open-ocean boundariesEstablish open-ocean boundaries Conduct an oceanographic and data review of project area.Conduct an oceanographic and data review of project area. Import tidal constituents, datum offset values, and uncertainty values.Import tidal constituents, datum offset values, and uncertainty values. Create weighting function grids for the residuals, tidal constituents, datums, and uncertaintiesCreate weighting function grids for the residuals, tidal constituents, datums, and uncertainties QC and transmit to field.QC and transmit to field.

11. Load Shoreline and Tide Stations

12. Compute Water Area Mesh

13. Compute Weighting Functions Harmonic Constants

14. Shipboard Process Load TCARI *.tc filesLoad TCARI *.tc files Load observed water level dataLoad observed water level data Create HDCS Line Tide Files (TideLineSegments and TideTmIDX)Create HDCS Line Tide Files (TideLineSegments and TideTmIDX)

15. Uncertainty Model Propagates the following:Propagates the following: Observed water level uncertaintiesObserved water level uncertainties Datum uncertaintiesDatum uncertainties Resultant vertical uncertainty of TCResultant vertical uncertainty of TC Applies an interpolation uncertainty based on “all-water” distance from tide station to POIApplies an interpolation uncertainty based on “all-water” distance from tide station to POI

16. Water Level Uncertainty @ P.O.I. Interpolation Uncertainty Thermal Current Draw Down Wave Density Marine Growth Spatial Quantization Temporal Quantization Format Tidal Datum Uncertainty WL Obs Uncertainty MeasurementCalibration Dynamic Effect Leveling Max/Min Interp. Record Length Gauge/staff Comparison Astronomic Uncertainty Record Length

17. Water Level Uncertainty Field

18. Future Work Improved automationImproved automation Integration to HIPS TPE computationIntegration to HIPS TPE computation Support other tide-related NOAA work (photogrammetry)Support other tide-related NOAA work (photogrammetry)

19. Conclusions TCARI provides a robust process for both project preparation and water level adjustmentTCARI provides a robust process for both project preparation and water level adjustment Overcomes discrete tide zone shortcomingsOvercomes discrete tide zone shortcomings Uncertainty model provides increased resolution for application to sounding TPEUncertainty model provides increased resolution for application to sounding TPE