U.S. HYDRO 2007 TIDES WORKSHOP May 17, 2006 UNCERTAINTY WORKSHOP SKGILL SLIDES.

Slides:



Advertisements
Similar presentations
Learning Outcomes Why do we need to know about Tides Tidal Forces
Advertisements

Transfer of Datum for Hydrographic Surveys
Objectives 10.1 Simple linear regression
Irwin/McGraw-Hill © Andrew F. Siegel, 1997 and l Chapter 12 l Multiple Regression: Predicting One Factor from Several Others.
NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES Improvements to the CO-OPS Storm QuickLook Product for Real-Time Storm Surge Monitoring.
Tidal and Geodetic Vertical Datums State Geodetic Advisor, NGS National Ocean Service, NOAA Sacramento, CA October, 2005 Workshop.
Regression Analysis Module 3. Regression Regression is the attempt to explain the variation in a dependent variable using the variation in independent.
“Eternity begins and ends with the ocean's tides.”
TIDES Equilibrium Theory of Tides –Earth-Moon Orbital System –Added Affect of the Sun-Earth Orbital System Dynamic Theory of Tide (add continents) –Amphidromic.
Determination of Station Depths Relative to NGVD29 Methods and results Jan 24, 2003 Charles Seaton.
Tidal Datums Text and Figures Source: NOAA/NOS CO-OPS Tidal Datums related publications.
Investigation of Mediterranean Sea level between 1961 – 2000 according to SOI data B. Shirman The aims of the work: to distinguish tide long time periods;
Coastal Zone 2011 Conference “Cool Geodetic Resources For Your Project” A National Ocean Service, NOAA, Presentation 1)TOOLS TO OBTAIN GEODETIC CONTROL.
NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES Updating the International Great Lakes Datum Plan Overview Center for Operational Oceanographic.
GEODETIC CONTROL SURVEYS
Principles of Sea Level Measurement Long-term tide gauge records  What is a tide station?  How is sea level measured relative to the land?  What types.
1 Seventh Lecture Error Analysis Instrumentation and Product Testing.
Uncertainty analysis is a vital part of any experimental program or measurement system design. Common sources of experimental uncertainty were defined.
CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES GPS Requirements for the National Water Level Program Applications of GPS/GNSS in NOAA Cross-NOAA.
Ostende GLOSS Course 2006 Characteristics of Sea Level Records Philip L. Woodworth Permanent Service for Mean Sea Level With thanks to Simon Williams.
1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Wave Energy Resource Assessment and GIS Database for the U.S. Paul T. Jacobson.
International Great Lakes Datum Overview Presented at a Height Modernization Program meeting January 9, 2014 by David Conner Geodetic Advisor to the State.
VDATUM: the Vertical Datum Transformation Tool
CARPE DIEM Centre for Water Resources Research NUID-UCD Contribution to Area-3 Dusseldorf meeting 26th to 28th May 2003.
The Importance of Forecasting in POM
NOAA Navigation Services CO-OPS Update Richard Edwing National Ocean Service Center for Operational Oceanographic Products and Services Hydrographic Services.
1 Information Briefing Regarding CO-OPS’ Microwave Water Level (MWWL) Activities Manoj Samant October 24, 2012 MWWL Activities Briefing.
Interim Update: Preliminary Analyses of Excursions in the A.R.M. Loxahatchee National Wildlife Refuge August 18, 2009 Prepared by SFWMD and FDEP as part.
Chapter Twelve Census: Population canvass - not really a “sample” Asking the entire population Budget Available: A valid factor – how much can we.
Accuracy and Precision
Renewable Energy Research Laboratory University of Massachusetts Prediction Uncertainties in Measure- Correlate-Predict Analyses Anthony L. Rogers, Ph.D.
NOAA Use of Submersible Pressure Tide Gauge Technology in Alaska Recent Activities and Proof of Concept CO-OPS October 2012.
Lecture 18: Vertical Datums and a little Linear Regression GISC March 2009 For Geoid96.
Integration of Statistics and Harmonic Analysis to Predict Water Levels in Estuaries and Shallow Waters of the Gulf of Mexico Texas A&M University - Corpus.
Time Series Analysis and Forecasting
Managerial Economics Demand Estimation & Forecasting.
A Process Control Screen for Multiple Stream Processes An Operator Friendly Approach Richard E. Clark Process & Product Analysis.
Data Triangulation Applications in Population and Health Programs- -The Global Experience.
Ostende GLOSS course 2006 Suggested Method for Datum Determination for the Radar Gauges provided for ODINAFRICA and GLOSS-Africa P.L.Woodworth.
Tidal Constituent and Residual Interpolation Survey Planning and Weighting Function Computation.
NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES TIDAL DATUM COMPUTATION OVERVIEW.
Review of SWRCB Water Availability Analysis Emphasis on Dry Creek Water Availability Analysis.
NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES CO-OPS NWLON and Seasonal Gauging in the Great Lakes - FY14 Efforts September 16, 2014.
MISSISSIPPI HEIGHT MODERNIZATION PROJECT JUNE 11, 2009 By Ronnie L. Taylor Chief, Geodetic Advisor Branch NOAA, National Geodetic Survey.
NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES Updating the International Great Lakes Datum Laura Rear McLaughlin Center for Operational.
NWS Calibration Workshop, LMRFC March, 2009 slide - 1 Analysis of Temperature Basic Calibration Workshop March 10-13, 2009 LMRFC.
NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES 1 Establishing Tide Control in an Area with Insufficient Observational Water Level Data:
Tide corrections from KGPS and a precise geoid
Datums Computation Overview Center for Operational Oceanographic Products and Services January 8, 2009.
Understanding your reference datum – it can be a cost saver!
Precise Digital Leveling Section 6 Vertical Datum.
VERTICAL DATUMS APRIL 08, 2008 By Ronnie L. Taylor Chief, Geodetic Advisor Branch NOAA, National Geodetic Survey.
NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES NOAA’s National Ocean Service Center for Operational Oceanographic Products and Services.
Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and Geography West Virginia University Morgantown,
Chapter 6: Descriptive Statistics. Learning Objectives Describe statistical measures used in descriptive statistics Compute measures of central tendency.
Demand Management and Forecasting Chapter 11 Portions Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
U.S. Coast & Geodetic Survey/NOAA Steps to Creating a Nautical Chart Historic types of surveys required – Astronomical Observations – Land survey (triangulation)
Datums and Tides Mean Low Tide versus Mean Lower Low Water And the winner is……….!
NAME SINDHU.M.P SUBJECT SOCIAL STUDIES. HYDROSPHERE The hydrosphere ] in physical geography describes the combined mass of water found on, under, and.
Forecasting Methods Dr. T. T. Kachwala.
Predicting Salinity in the Chesapeake Bay Using Neural Networks
Ocean Structure and Motion
Design Rainfall Distributions Based on NRCC Data
WAVE.
In astronomical-geographic terms, a tide signifies the gravitational pull of the moon. Therefore this means that a high tide occurs when the alignment.
Uncertainty and Error
Lesson 10: Tides Physical Oceanography
Lesson 10: Tides Physical Oceanography
Real-time Uncertainty Output for MBES Systems
Data Literacy Graphing and Statisitics
Presentation transcript:

U.S. HYDRO 2007 TIDES WORKSHOP May 17, 2006 UNCERTAINTY WORKSHOP SKGILL SLIDES

Relative Sea Level Trends Monthly Mean Sea Level Anomalies50-year mean Sea level Trends

NOS Specifications and Deliverables Error Budget

Total allowable error

Dynamic Transducer Draft Correction Observed Depth Sound Velocity Correction Reference Datum Actual Depth Tide Correction Chart Depth Corrections to Echo Soundings

ERROR BUDGET CONSIDERATIONS FOR WATER LEVELS THE WATER LEVEL REDUCER CAN BE THE MOST SIGNIFICANT CORRECTOR TO THE SOUNDINGS THE COMPONENT OF THE TOTAL ERROR BUDGET DUE TO APPLICATION OF THE WATER LEVEL REDUCERS CAN ALSO BE QUITE SIGNIFICANT THE ALLOWABLE CONTRIBUTION OF THE ERROR FOR TIDES AND WATER LEVELS TO THE TOTAL SURVEY ERROR BUDGET FALLS BETWEEN 0.20 METERS AND 0.45 METER (95% CONFIDENCE LEVEL) DEPENDING UPON COMPLEXITY OF THE TIDAL REGIME AND THE SURVEY AREA. THE ERROR BUDGET NEEDS TO BE ESTIMATED IN ADVANCE IN THE PLANNING STAGES SO THAT THE POTENTIAL ERROR IN WATER LEVELS CAN BE APPROPRIATELY BALANCED AGAINST ALL OTHER SURVEY ERRORS IN THE PROJECT DESIGN

ERROR BUDGET CONSIDERATIONS FOR WATER LEVELS 1.THE MEASUREMENT/PROCESSING ERROR IN COLLECTION OF GAUGE/SENSOR DATA AND THE PROCESSING OF THE DATA. 2.THE ERROR IN COMPUTATION OF TIDAL DATUMS FOR THE ADJUSTMENT TO A 19-YEAR NATIONAL TIDAL DATUM EPOCH (NDTE) FROM SHORT-TERM STATIONS 3.THE ERROR IN THE APPLICATION OF TIDAL OR WATER LEVEL ZONING

ERROR BUDGET CONSIDERATIONS FOR WATER LEVELS 1.THE MEASUREMENT/PROCESSING ERROR IN COLLECTION OF GAUGE/SENSOR DATA AND THE PROCESSING OF THE DATA. –THE MEASUREMENT ERROR SHOULD NOT EXCEED 0.10 METER (95% CONFIDENCE LEVEL) AND INCLUDES ERROR CONTRIBUTIONS FROM: DYNAMIC EFFECTS OF WAVES, CURRENTS, DENSITY, TEMPERATURE, ETC… ON THE SENSOR PERFORMANCE/CALIBRATION OF THE WATER LEVEL GAUGE SYSTEM REFERENCING OF THE SENSOR ZERO TO STATION DATUM THROUGH TIDE STAFFS, LEVELS AND BENCH MARKS – THE PROCESSING ERROR SHOULD NOT EXCEED 0.10 METER (95% CONFIDENCE LEVEL) AND INCLUDES ERROR CONTRIBUTIONS DUE TO DATA SAMPLING RATES AND INTERPOLATION OF THE WATER LEVEL DATA TO THE EXACT TIME OF THE SOUNDINGS

REFERENCING OF THE SENSOR ZERO TO STATION DATUM THROUGH TIDE STAFFS, LEVELS AND BENCH MARKS

International GLOSS Tide Gauge Requirements Sampling of sea level, averaged over period long enough to avoid aliasing from waves. Sampling intervals of 6 to 15 minute intervals (or even 1-minute or less for tsunami monitoring) Measurements made relative to local fixed benchmarks. Connection made within a few mm and made annually. Connection to nearby continuous GPS system (NGS CORS) Individual sea level measurement must be made with accuracy of 10 mm. Stations should be multi-purpose – Tsunami, storm surge, tides, sea level. Active collection, QC, data management/archival and dissemination. Ancillary Meteorological Observati0ns if possible (wind, atm. Pressure, etc..) Concurrent data between various old/new technologies before switch over.

ERROR BUDGET CONSIDERATIONS FOR WATER LEVELS 2.THE ERROR IN COMPUTATION OF TIDAL DATUMS FOR THE ADJUSTMENT TO A 19-YEAR NATIONAL TIDAL DATUM EPOCH (NDTE) FROM SHORT-TERM STATIONS –THE SHORTER THE TIME SERIES, THE LESS ACCURATE THE DATUM –ESTIMATED ERRORS OF AN ADJUSTED TIDAL DATUM BASED UPON ONE MONTH OF TIDE DATA ARE 0.08 METER FOR THE EAST AND WEST COASTS OF THE U.S. AND 0.11 METER FOR THE GULF COAST (95% CONFIDENCE LEVEL) –THE MORE SIMILAR THE SEA LEVEL VARIATIONS AND TIDAL CHARACTERISTICS OF THE SHORT-TERM STATION ARE TO THE CONTROL STATION, THE MORE ACCURATE THE DATUMS –ALTHOUGH TIDAL DATUMS ARE NOT COMPUTED FOR THE GREAT LAKES, THE ERRORS DUE TO SERIES LENGTHS AND CLOSENESS TO CONTROL STATIONS ARE ANALOGOUS

THE SHORTER THE TIME SERIES, THE LESS ACCURATE THE DATUM

The Bodnar Report Bodnar (1981), drawing upon Swanson (1974) applied multiple curvilinear regression equations estimating the accuracy of computed datums Bodnar’s analyses determined which independent variables related to differences in tidal characteristics explain the variations in the Swanson standard deviations using Swanson’s standard deviations as the dependent variables. Bodnar developed formulas for Mean Low Water (MLW) and Mean High Water (MHW). The equations for Mean Low Water are presented below. S1M = ADLWI SRGDIST MNR S3M = ADLWI SRGDIST MNR S6M = ADLWI SRGDIST MNR S12M = SRSMN MNR ESTIMATING ACCURACIES OF TIDAL DATUMS FROM SHORT TERM OBSERVATIONS

THE MORE SIMILAR THE SEA LEVEL VARIATIONS AND TIDAL CHARACTERISTICS OF THE SHORT-TERM STATION ARE TO THE CONTROL STATION, THE MORE ACCURATE THE DATUMS

CO-OPS chose a target value of 0.12 ft (95% confidence interval) for determination of the extent of coverage for datum determination for each NWLON station. The study identifies the geographic region for each NWLON station within which a datum computation at a subordinate station with a 3-month time series will be accurate to less than or equal to 0.12 ft The Bodnar Report

ERROR BUDGET CONSIDERATIONS FOR WATER LEVELS 3.THE ERROR IN THE APPLICATION OF TIDAL OR WATER LEVEL ZONING –TIDAL ZONING IS THE EXTRAPOLATION OF AND/OR INTERPOLATION OF TIDAL CHARACTERISTICS FROM A KNOWN SHORE POINT(S) TO A DESIRED SURVEY AREA USING TIME DIFFERENCES AND RANGE RATIOS –FOR THE GREAT LAKES, WATER LEVEL ZONING IS THE INTERPOLATION OF DATUM CORRECTIONS TO THE REFERENCE DATUM OF IGLD 85 BETWEEN STATIONS AND IS ESPECIALLY SIGNIFICANT IN THE INTERCONNECTING WATERWAYS IN THE LAKES SYSTEM –THE GREATER THE EXTRAPOLATION/INTEROLATION, THE GREATER THE ERROR –ESTIMATES FOR A TYPICAL ERROR ASSOCIATED WITH TIDAL ZONING ARE 0.20 METER (95% CONFIDENCE LEVEL) –TIDAL ZONING EERRORS CAN DOMINATE THE ERROR BUDGET IN AREAS OFCOMPLEX AND ILL-DEFINED TIDAL REGIMES AND IN AREAS WHICH METEROROLGICAL FORCING DOMINATES THE TIDE. IN THESE SITUATIONS, ERRORS DUE TO TIDAL ZONING CAN EASILY EXCEED 0.20 METER (95% CONFIDENCE LEVEL)

FY Inaccurate tides are typically the major error source in hydrographic surveying. Tide gage too far away from work site … excessive extrapolation. Tide range different from gage to work site. Tide phase variation from gage to work site. Tidal datum varies along project … inadequately defined. Why is Tidal Modeling Significant? COURTESY: Bill Bergen - USACE

FY Error Due to Uncertain (Unmodeled) Tidal Phase Shift Between Gage and Work Site Tide Level Observed at Gage Actual Tide Level at Offshore Work Site 1-foot error due to phase shift on flood tide (all depths shallower by 1 foot) FEETFEET 1 HOUR COURTESY: Bill Bergen - USACE

FY Error Due to Uncertain (Unmodeled) Tides Range Difference Between Gage and Work Site Tide Level Observed at Gage Actual Tide Level at Offshore Work Site 0.5-foot error due to unmodeled range difference FEETFEET 1 HOUR COURTESY: Bill Bergen - USACE

FY Methods to Minimize Tidal Errors Tidal Zoning Surround project site with gage network … interpolate tidal zoning parameters. Interpolated or adjusted water level from 3 gages Established tidal “zones” with range & time corrections based on a fixed gage

Error Budget for Tides - Example

0.000m 0.013m 0.012m 0.035m 0.048m 0.072m 0.026m Tidal Zoning Errors – one standard deviation

Error Budget for Tides - Example

Final Total Tide Error – 95% confidence level 0.065m 0.072m 0.089m 0.074m 0.104m 0.122m 0.172m