Least Squares Fit to Main Harmonics

Slides:



Advertisements
Similar presentations
Complex Representation of Harmonic Oscillations. The imaginary number i is defined by i 2 = -1. Any complex number can be written as z = x + i y where.
Advertisements

Tides Tide producing forces Semi-diurnal; diurnal tides
Navigation Fundamentals
Rotary Spectra Separate vector time series (e.g., current or wind data) into clockwise and counter-clockwise rotating circular components. Instead of having.
Internal Tidal Currents in the Gaoping Submarine Canyon I-Huan Lee National Museum of Marine Biology and Aquarium,Pingtung, Taiwan, , R.O.C.
TIDES: Astronomical Forcing & Tidal Constituents Parker MacCready, January 2011 Reference: Admiralty Manual of Tides, Doodson & Warburg, 1941, His Majesty’s.
Northwest National Marine Renewable Energy Center Site Characterization of Tidal Resources: Admiralty Inlet Jeff Epler.
Relative Motion. Point of View  A plane flies at a speed of 200. km/h relative to still air. There is an 80. km/h wind from the southwest (heading 45°
Selected Problems from Chapter o.
What are the dominant frequencies? Fourier transforms decompose a data sequence into a set of discrete spectral estimates – separate the variance of a.
Applications of Trigonometric Functions
Stats for Engineers Lecture 9. Summary From Last Time Confidence Intervals for the mean t-tables Q Student t-distribution.
Sundermeyer MAR 550 Spring Laboratory in Oceanography: Data and Methods MAR550, Spring 2013 Miles A. Sundermeyer Additional Topics - Rotary Spectra.
Geo479/579: Geostatistics Ch16. Modeling the Sample Variogram.
Chapter 15 AC Fundamentals.
TIDES Tide - generic term to define alternating rise and fall in sea level with respect to land and is produced by the balance between the gravitational.
Applications of Trigonometric Functions. Solving a right triangle means finding the missing lengths of its sides and the measurements of its angles. We.
The observed flow u’ may be represented as the sum of M harmonics:
EXAMPLE 2 Write an equation given a vertex and a co-vertex Write an equation of the ellipse that has a vertex at (0, 4), a co-vertex at (– 3, 0), and center.
Physics VECTORS AND PROJECTILE MOTION
SECTION: 10-2 ELLIPSES WARM-UP
Least Squares Fit to Main Harmonics The observed flow u’ may be represented as the sum of M harmonics: u’ = u 0 + Σ j M =1 A j sin (  j t +  j ) For.
Theodolite: Tachymat wild TC2002S Laser Distantiometer: Distomat Wild DI2002 Corner Cube reflector: Wild GPH1P East Up North M E 1 R N T 2 Local Survey.
Statistics 350 Lecture 2. Today Last Day: Section Today: Section 1.6 Homework #1: Chapter 1 Problems (page 33-38): 2, 5, 6, 7, 22, 26, 33, 34,
Nonlinear effects on tides
Section 6.2 The Unit Circle and Circular Functions
Coordinate Transformations
Graphs of Sine and Cosine
Chapter 10 - Rotational Kinematics
CS 591 S1 – Computational Audio – Spring 2017
COMPLEX NUMBERS and PHASORS
Vectors (Knight: 3.1 to 3.4).
Vector Resolution Level 1 Physics.
ECE 3301 General Electrical Engineering
Relative Motion.
Παλίρροιες.
MOVING ADCP DATA PROCESSING
4.2 Trigonometric Function: The Unit circle
The observed flow u’ may be represented as the sum of M harmonics:
Warm Up Find each product, if possible. 1. AB 2. BA.
Introduction to manipulator kinematics
MM5 – Applications of Trigonometry
Physics VECTORS AND PROJECTILE MOTION
Vectors List 5-8 situations that would involve 1 or 2 different forces acting on an object that cause it to move in a certain direction.
Sum and Difference Identities
Sum and Difference Identities for the Sin Function
Least Squares Fit to Main Harmonics
Rotary Spectra Separate vector time series (e.g., current or wind data) into clockwise and counter-clockwise rotating circular components. Instead of having.
Least Squares Fit to Main Harmonics
Chapter 8 The Trigonometric Functions
SEC 8.2: TRIGONOMETRIC INTEGRALS
Ellipses 5.3 (Chapter 10 – Conics). Ellipses 5.3 (Chapter 10 – Conics)
Ellipse Notes.
Writing Equations of Trigonometric Graphs
Vectors and Scalars AP Physics C.
Ellipses Objectives: Write the standard equation for an ellipse given sufficient information Given an equation of an ellipse, graph it and label the center,
Vector Resolution.
Laboratory in Oceanography: Data and Methods
Physics VECTORS AND PROJECTILE MOTION
Regression All about going back (regressing) from the points to the function from which they came. We are looking at linear regression.
Vectors.
Physics VECTORS AND PROJECTILE MOTION
Geophysical Institute, University of Alaska Fairbanks
Derivation of the 2D Rotation Matrix
Geophysical Institute, University of Alaska Fairbanks
Make sure you have this on your card:
What is your best guess as to how the given function
Graphing: Sine and Cosine
6.1.1 Deriving OLS OLS is obtained by minimizing the sum of the square errors. This is done using the partial derivative 6.
Vector Components.
Presentation transcript:

Least Squares Fit to Main Harmonics The observed flow u’ may be represented as the sum of M harmonics: u’ = u0 + ΣjM=1 Aj sin (j t + j) For M = 1 harmonic (e.g. a diurnal or semidiurnal constituent): u’ = u0 + A1 sin (1t + 1) With the trigonometric identity: sin (A + B) = cosBsinA + cosAsinB u’ = u0 + a1 sin (1t ) + b1 cos (1t ) taking: a1 = A1 cos 1 b1 = A1 sin 1 so u’ is the ‘harmonic representation’

2u0b1 cos (1t ) + 2a1 b1 sin (1t ) cos (1t ) + a12 sin2 (1t ) + The squared errors between the observed current u and the harmonic representation may be expressed as 2 : 2 = ΣN [u - u’ ]2 = u 2 - 2uu’ + u’ 2 Then: 2 = ΣN {u 2 - 2uu0 - 2ua1 sin (1t ) - 2ub1 cos (1t ) + u02 + 2u0a1 sin (1t ) + 2u0b1 cos (1t ) + 2a1 b1 sin (1t ) cos (1t ) + a12 sin2 (1t ) + b12 cos2 (1t ) } Using u’ = u0 + a1 sin (1t ) + b1 cos (1t ) Then, to find the minimum distance between observed and theoretical values we need to minimize 2 with respect to u0 a1 and b1, i.e., δ 2/ δu0 , δ 2/ δa1 , δ 2/ δb1 : δ2/ δu0 = ΣN { -2u +2u0 + 2a1 sin (1t ) + 2b1 cos (1t ) } = 0 δ2/ δa1 = ΣN { -2u sin (1t ) +2u0 sin (1t ) + 2b1 sin (1t ) cos (1t ) + 2a1 sin2(1t ) } = 0 δ2/ δb1 = ΣN {-2u cos (1t ) +2u0 cos (1t ) + 2a1 sin (1t ) cos (1t ) + 2b1 cos2(1t ) } = 0

ΣN { -2u +2u0 + 2a1 sin (1t ) + 2b1 cos (1t ) } = 0 ΣN {-2u sin (1t ) +2u0 sin (1t ) + 2b1 sin (1t ) cos (1t ) + 2a1 sin2(1t ) } = 0 ΣN { -2u cos (1t ) +2u0 cos (1t ) + 2a1 sin (1t ) cos (1t ) + 2b1 cos2(1t ) } = 0 Rearranging: ΣN { u = u0 + a1 sin (1t ) + b1 cos (1t ) } ΣN { u sin (1t ) = u0 sin (1t ) + b1 sin (1t ) cos (1t ) + a1 sin2(1t ) } ΣN { u cos (1t ) = u0 cos (1t ) + a1 sin (1t ) cos (1t ) + b1 cos2(1t ) } And in matrix form: ΣN u cos (1t ) ΣN cos (1t ) ΣN sin (1t ) cos (1t ) ΣN cos2(1t ) b1 ΣN u N ΣN sin (1t ) Σ N cos (1t ) u0 ΣN u sin (1t ) = ΣN sin (1t ) ΣN sin2(1t ) ΣN sin (1t ) cos (1t ) a1 X = A-1 B B = A X

Finally... The residual or mean is u0 The phase of constituent 1 is: 1 = atan ( b1 / a1 ) The amplitude of constituent 1 is: A1 = ( b12 + a12 )½ Pay attention to the arc tangent function used. For example, in IDL you should use atan (b1,a1) and in MATLAB, you should use atan2

For M = 2 harmonics (e.g. diurnal and semidiurnal constituents): u’ = u0 + A1 sin (1t + 1) + A2 sin (2t + 2) ΣN cos (1t ) ΣN sin (1t ) cos (1t ) ΣN cos2(1t ) ΣN cos (1t ) sin (2t ) ΣN cos (1t ) cos (2t ) N ΣN sin (1t ) Σ N cos (1t ) ΣN sin (2t ) Σ N cos (2t ) ΣN sin (1t ) ΣN sin2(1t ) ΣN sin (1t ) cos (1t ) ΣN sin (1t ) sin (2t ) ΣN sin (1t ) cos (2t ) Matrix A is then: ΣN sin (2t ) ΣN sin (1t ) sin (2t ) ΣN cos (1t ) sin (2t ) ΣN sin2(2t ) ΣN sin (2t ) cos (2t ) ΣN cos (2t ) ΣN sin (1t ) cos (2t ) ΣN cos (1t ) cos (2t ) ΣN sin (2t ) cos (2t ) ΣN cos2 (2t ) Remember that: X = A-1 B and B = ΣN u cos (1t ) ΣN u sin (2t ) ΣN u cos (2t ) ΣN u ΣN u sin (1t ) u0 a1 b1 a2 b2 X =

Σ [< uobs > - upred] 2 Σ [<uobs > - uobs] 2 Goodness of Fit: Σ [< uobs > - upred] 2 ------------------------------------- Σ [<uobs > - uobs] 2 Root mean square error: [1/N Σ (uobs - upred) 2] ½

Fit with M2 only

Fit with M2, K1

Tidal Ellipse Parameters K1 Major axis: M minor axis: m ellipticity = m / M Phase Orientation

Tidal Ellipse Parameters ua, va, up, vp are the amplitudes and phases of the east-west and north-south components of velocity amplitude of the clockwise rotary component amplitude of the counter-clockwise rotary component phase of the clockwise rotary component phase of the counter-clockwise rotary component The characteristics of the tidal ellipses are: Major axis = M = Qcc + Qc minor axis = m = Qcc - Qc ellipticity = m / M Phase = -0.5 (thetacc - thetac) Orientation = 0.5 (thetacc + thetac) Ellipse Coordinates:

M2 K1

Study Area

Study Area Transect Sampled June 12, 2012 Semidiurnal Cycle

Trajectories Sampled

East Component North Component Raw Velocity Components (all data)

-12.5º rotation (u, v) cm/s (East, North) cm/s

105 26 18

TIDE ADCP depth measurements

1.35 0.19 0.12

FLOOD u 