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GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 ea Level Data rocessing with LPR2 Tidal Analysis nd Prediction

GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

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General Physics of the Tides * Response of mass (primarily water) to Earth-Sun-Moon system (harmonic tidal constituents defined astronomically) * Local coastal shoreline and basin shapes lead to additional tidal constituents (non-linear, shallow water tidal energy) Good Reference: Pugh, D.T., Tides, Surges, and Mean Sea Level, A Handbook for Engineers and Scientists. John Wiley & Sons., 472p.

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Page 1: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

GLOSS Training Workshop Course

Japan Meteorological AgencyMay 15-26, 2006

Sea Level Data Processing withSLPR2 3. Tidal Analysis and Prediction

Page 2: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Background*Tidal Forces, general physics*Theory used in Foreman Routines

Application

Page 3: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

General Physics of the Tides

* Response of mass (primarily water) to Earth-Sun-Moon system (harmonic tidal constituents defined astronomically)

* Local coastal shoreline and basin shapes lead to additional tidal constituents (non-linear, shallow water tidal energy)

•Good Reference:

Pugh, D.T., 1987. Tides, Surges, and Mean Sea Level, A Handbook for Engineers and Scientists. John Wiley & Sons., 472p.

Page 4: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Basic Tidal Physics

Force = G (M1*M2) / R2

M1 = Mass 1 (earth)M2 = Mass 2 (sun or moon)R = distance between centers of mass

Newton’s Gravitational Law

Page 5: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Two Forces: Atractive and Centrifugal

centrifugal attractive

Results:- Typically two tidal cycles per day- More declination: 1) more inequality in ranges of semi-diurnal tides, 2) more range of diurnal tide

Variations: 1) angle of declination 2) proximity to earth

“Equilibrium Tide”

Results - “perigee” y “apogee” of the moon- “perihilion y “apihelion” of the sun

When closer, stronger

Sun or moon

Page 6: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Example of Semi-diurnal dominant Tide

Example of Diurnal dominant Tide

Page 7: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Earth, Sun, Moon System

Spring Tides

Neap Tides

Page 8: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Dynamical Theory of the Tides

Page 9: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

•The earth, moon, and sun system makes the tides. The declination angle (of sun or moon) and the proximity (of sun or moon) give rise to the various frequencies and magnitudes, known as the “tidal species”.

•The shape of the ocean basins, coastlines, extent of continental shelf, and effects of rivers make for complex

•Good References:Godin, G., 1988. Tides. Centro de Investigaciones Cientifica y de Educacion Superior de Ensensada, Ensendad, BC. Mexico., p290

by mail: Mareografia, CICESE, Ave. Espinoza #843, APDO Postal 2732 Ensenada, Baja California, MEXICO

Pugh, D.T., 1987. Tides, Surges, and Mean Sea Level, A Handbook for Engineers and Scientists. John Wiley & Sons., 472p.

Basic Tidal PhysicsSummary

Page 10: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Foreman Tidal Analysis: Theory

1. Astronomical variables derived from Doodson tidal potential, from which constituent frequencies were determined2. Time origin is 00UTC 01 January, 1976.3. There are 45 main astronomical constituents in this package.4. Shallow water constituents determined using Rayleigh Comparison pairs.5. Nodal modulation corrections applied to include satellite frequencies.6. Analysis: least squares fit for constituent amplitude and phase.

http://www.pac.dfo-mpo.gc.ca/sci/osap/projects/tidpack/tidpack_e.htm

Details at:

Foreman, M.G.G., 1977. Manual for Tidal Heights Analysis and Prediction. Pacific Marine Science Report 77-10, Institute of Ocean Sciences, Patricia Bay, Sidney, B.C., 58 pp.

Page 11: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Foreman Tidal Analysis: Application

1. Choose a time period for analysis a. Use plots of hourly data b. Select time period with fewest gaps or obvious errors. c. Ideally 366 consecutive days (may cross over year) - 366 days (13 month limit) gives 68 harmonic constants - 30 days yields 30 constants; 14 days; 11 constants (shorter analysis period, less constants, less quality) - time period can not cross over century mark

2. Run \slpr2\tide\anl\TIDEANL.BAT P1 (P1: 3-digit station ID) a. must be ran from MS DOS prompt (not windows) b. interactive input - time scheme of hours 01-24 used for analysis period eg, enter 0101012004 for hour 00, day 01, month 01, year 2004

3. If consecutive values in hourly values have difference > 2500 mm (gross value) then TIDEANL aborts. Replace gross value with 9999

Manual Section 4.1

Page 12: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Output of Analysis: Harmonic Constants

Appendices F and G

1. If one reruns TIDEANL for the same station, INPsss.PRD and HARMsss.PRD will be overwritten. Thus, if one wants to save the original ones, move them to a new directory or rename them.2. HARMsss.LIS has a complete header including statistics3. INPsss.PRD becomes the input file for Foreman Tidal Prediction4. Both HARMsss.LIS and INPsss.PRD hold the same harmonic constants

frequency span of A G AL GL (cycle/hour) analysis (cm) 1 Z0 .00000000 0 785/ 786 178.6955 .00 178.6955 .00 2 SA .00011407 0 785/ 786 3.7802 109.26 3.7802 112.59

AL: amplitude, GL: phase direct from least squares analysis A: G: are amplitude and phase after Nodal Corrections

Page 13: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Foreman Tidal Prediction: NotesManual Section 4.2

1. Method: resultant predicted tide is sum of all amplitudes and phases given in the harmonic constant file (INPsss.PRD).

Page 14: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Sum

of

individual

tidal

components

gives

the

resultant

predicted sea level

Page 15: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Foreman Tidal Prediction: Notes

2. Two output options: equally-spaced (hourly) or times/heights of hi/lo tide

3. Purpose of the SLPR2 package is QUALITY CONTROL (hourly output)

4. Each run of the Tide Prediction program produces one year of predicted tides.

Page 16: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Foreman Tidal Prediction: ApplicationManual Section 4.2

1. If hourly data file units are not millimeters, then modify \slpr2\din\PRDVP.DIN

2. Run \slpr2\tide\prd\TIDEPRD.BAT p1 p2 p3 p4 p5 p6 - must be run from MS DOS Prompt window - see page 17 of manual for command line parameter description

3. Output placed in \slpr2\prd\

4. Special case when running for 1899 and 1999 (page 18 of manual)

Page 17: GLOSS Training Workshop Course Japan Meteorological Agency May 15-26, 2006 Sea Level Data Processing with SLPR2 3. Tidal Analysis and Prediction

Assignment for Hands-On Training Session (HOTS)

1. Choose time period for Tidal Analysis2. Run Tidal Analysis3. Study Harmonic Constant files4.Make predicted tides for year(s) of observed hourly data5. Optional: make hi/lo tides table