ROLE OF NO TOPOGRAPHY SPACE IN STOKES-HELMERT SCHEME FOR GEOID DETERMINATION

Similar documents
A Rigorous Formula For Geoid-to-Quasigeoid Separation Lars E. Sjöberg Royal Institute of Technology Division of Geodesy Stockholm

EARLY RESULTS TOWARDS THE CANADIAN GEOID IN THE THREE-SPACE SCENARIO

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Class Meeting # 10: Introduction to the Wave Equation

Matlab and Python programming: how to get started

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

Ground Rules. PC1221 Fundamentals of Physics I. Kinematics. Position. Lectures 3 and 4 Motion in One Dimension. A/Prof Tay Seng Chuan

Vehicle Arrival Models : Headway

Kriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds

Robust estimation based on the first- and third-moment restrictions of the power transformation model

Ordinary dierential equations

KEY. Math 334 Midterm III Winter 2008 section 002 Instructor: Scott Glasgow

WEEK-3 Recitation PHYS 131. of the projectile s velocity remains constant throughout the motion, since the acceleration a x

Solutions from Chapter 9.1 and 9.2

Chapter 7: Solving Trig Equations

Chapter 2. First Order Scalar Equations

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

Final Spring 2007

Let us start with a two dimensional case. We consider a vector ( x,

Some Basic Information about M-S-D Systems

1. VELOCITY AND ACCELERATION

Introduction D P. r = constant discount rate, g = Gordon Model (1962): constant dividend growth rate.

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux

Math 333 Problem Set #2 Solution 14 February 2003

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé

V L. DT s D T s t. Figure 1: Buck-boost converter: inductor current i(t) in the continuous conduction mode.

The Fundamental Theorems of Calculus

Homework-8(1) P8.3-1, 3, 8, 10, 17, 21, 24, 28,29 P8.4-1, 2, 5

System of Linear Differential Equations

Mathcad Lecture #8 In-class Worksheet Curve Fitting and Interpolation

EECE 301 Signals & Systems Prof. Mark Fowler

ON THE DEGREES OF RATIONAL KNOTS

KINEMATICS IN ONE DIMENSION

Challenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t

Vanishing Viscosity Method. There are another instructive and perhaps more natural discontinuous solutions of the conservation law

on the interval (x + 1) 0! x < ", where x represents feet from the first fence post. How many square feet of fence had to be painted?

( ) = 0.43 kj = 430 J. Solutions 9 1. Solutions to Miscellaneous Exercise 9 1. Let W = work done then 0.

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution

Summary:Linear Motion

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx.

Lab #2: Kinematics in 1-Dimension

SMT 2014 Calculus Test Solutions February 15, 2014 = 3 5 = 15.

ENGI 9420 Engineering Analysis Assignment 2 Solutions

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

5.1 - Logarithms and Their Properties

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Linear Surface Gravity Waves 3., Dispersion, Group Velocity, and Energy Propagation

In this chapter the model of free motion under gravity is extended to objects projected at an angle. When you have completed it, you should

Differential Equations

UNC resolution Uncertainty Learning Objectives: measurement interval ( You will turn in two worksheets and

The motions of the celt on a horizontal plane with viscous friction

Fishing limits and the Logistic Equation. 1

THE SINE INTEGRAL. x dt t

Chapter 12: Velocity, acceleration, and forces

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims

Lecture 9: Advanced DFT concepts: The Exchange-correlation functional and time-dependent DFT

Laplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff

EE 301 Lab 2 Convolution

Homework sheet Exercises done during the lecture of March 12, 2014

Exponential Smoothing

Signals and Systems Profs. Byron Yu and Pulkit Grover Fall Midterm 1 Solutions

INDEX. Transient analysis 1 Initial Conditions 1

An random variable is a quantity that assumes different values with certain probabilities.

Sections 2.2 & 2.3 Limit of a Function and Limit Laws

13.3 Term structure models

EECS 2602 Winter Laboratory 3 Fourier series, Fourier transform and Bode Plots in MATLAB

R.#W.#Erickson# Department#of#Electrical,#Computer,#and#Energy#Engineering# University#of#Colorado,#Boulder#

Echocardiography Project and Finite Fourier Series

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Chapter 6. Systems of First Order Linear Differential Equations

( ) Eight geological shape curvature classes are defined in terms of the Gaussian and mean normal curvatures as follows: perfect saddle, plane

ln 2 1 ln y x c y C x

Linear Response Theory: The connection between QFT and experiments

EXPLICIT TIME INTEGRATORS FOR NONLINEAR DYNAMICS DERIVED FROM THE MIDPOINT RULE

HOTELLING LOCATION MODEL

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

IB Physics Kinematics Worksheet

) were both constant and we brought them from under the integral.

6.2 Transforms of Derivatives and Integrals.

!!"#"$%&#'()!"#&'(*%)+,&',-)./0)1-*23)

SOLUTIONS TO ECE 3084

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015

The Maxwell Equations, the Lorentz Field and the Electromagnetic Nanofield with Regard to the Question of Relativity

Sterilization D Values

Backward stochastic dynamics on a filtered probability space

Math 334 Fall 2011 Homework 11 Solutions

Lecture 3: Exponential Smoothing

Excel-Based Solution Method For The Optimal Policy Of The Hadley And Whittin s Exact Model With Arma Demand

Week Exp Date Lecture topic(s) Assignment. Course Overview. Intro: Measurements, uncertainties. Lab: Discussion of Exp 3 goals, setup

ME 452 Fourier Series and Fourier Transform

Theory of! Partial Differential Equations!

Chapter 3 Kinematics in Two Dimensions

Mean Vertical Gradient of Gravity

Traveling Waves. Chapter Introduction

EXERCISES FOR SECTION 1.5

Transcription:

LE F N TPGAPY SPACE IN STKES-ELMET SCEME F GEID DETEMINATIN Per Vaníek, ober Tenzer and Jianliang uang Annual meeing of CGU 1

We have been formalizing he Sokes soluion of he geodeic boundary value problem in elmer s form (second elmer s condensaion mehod) for almos 10 years. ur firs paper abou his formalizaion was [Vaníek P. and Marinec Z., 1994: The Sokes-elmer scheme for he evaluaion of a precise geoid. Manuscripa Geodaeica, No.19, Springer]. The scheme used in his formalizaion is shown graphically on he nex slide. Molodenskij opined ha i would be impossible o deermine geoid precisely because of he unknown opographical densiy. Ye we are geing good resuls, boh a UNB and a GSD, and he approach seems o make a good physical sense. We ake his as a vindicaion of Sokes s and elmer s ideas.

eal Space elmer Space opography ξ g(r,ω) ξ h g h (r,ω) opography elluroid ( ) h SIE elmer elluroid N ( N ) h geoid N N h PIE co-geoid ellipsoid ellipsoid 3

eck poined ou in 1993, and recen heoreical work by eck and Novák confirmed ha elmer s anomalies are quie rough due o he presence of he condensaion layer on he geoid. Also, elmer s anomalies are disconinuous on he geoid - see he nex slide. These facs led some people o quesion our approach o he downward coninuaion of elmer s anomalies from he earh surface o he geoid, formulaed as Poisson s soluion o he inverse Dirichle s BVP. Véronneau (GSD) eleced o coninue downward he complee Bouguer anomalies insead of elmer s anomalies, wih good numerical resuls. ence we decided also o have a good look a some such alernaives. 4

5

Following eck and Novák s heoreical suggesion and Véronneau s experimenal resuls, we have decided o invesigae he inverse Dirichle s problem formulaed in he No Topography space raher han he elmer space. The NT-space is characerized by having he real mass densiy wihin he geoid and zero mass densiy everywhere else cf., Sanos e al. paper a his meeing. The graviy field in he NT-space is smooher han elmer s field and NT-graviy is coninuous everywhere. Applying his approach see he nex slide we ge good numerical resuls cf., Tenzer e al. poser a his meeing wih an addiional bonus: he smooher field makes he ask of Poisson s downward coninuaion for denser graviy daa easier (needed in he fuure?). 6

eal Space No Topography Space elmer Space 7

g [ r, ] T( r, Ω) Ω = r r The Theory The graviy anomaly g[r (Ω),Ω] on he surface of he earh in he real space is given by he well known formula (he fundamenal gravimeric equaion ): g [ ( Ω ), Ω ] T r= r [ r, ] [ r, Ω] ε [ r, Ω] n ε δ g f sin ϕ T, ε δ Ω ( r Ω ) r r = r ( Ω ) ϕ ε n [ r, Ω] m fcosϕ 1 3 T [ r, Ω] r r 8

The ransformaion of g(r,ω) from he real space o he NT-space hen akes place: g[r (Ω),Ω] g NT [r (Ω),Ω]. I is given by he following formula (V (r,ω) is he poenial of opography and V a (r,ω) is he poenial of he amosphere): g NT [ r, Ω] g[ r, Ω] V ( r, Ω) r V ( r, Ω) r= r r= r a r r f sin ϕ r V a [ r, Ω] V [ r, Ω] r V [ r, Ω] 1 V [ r, Ω] r = r m fcos ϕ ϕ 3 r 9

where he opographical poenial is given by: V [ r, ] Ω = 4G o r 1 1 3, G o Ω Ω r = G δρ Ω Ω ( Ω ) l 1 ( Ω ) [ r, ψ ( Ω, Ω ), r ] ( ) 1 Ω l [ r, ψ( Ω, Ω ), r ] r = r r dr dω dr dω 10

And he opographical aracion is given by: ( r Ω) 1 V, = 4G ( ) o 1 r r Ω = 3 r r. G o Ω Ω r = ( Ω ) l 1 [ r, ψ( Ω, Ω ), r ] r r r dr dω ( Ω ) G δρ Ω Ω r = ( Ω ) l 1 [ r, ψ( Ω, Ω ), r ] r r r dr dω 11

Is he NT-anomaly, g NT (r,ω), he same as he sandard complee Bouguer anomaly g CB (r,ω) as we have been using i? N! The g NT (r,ω) is he same as he spherical complee Bouguer anomaly g CB;S (r,ω). This spherical anomaly has been sysemaically invesigaed by Vaníek P., Tenzer., Sjöberg L.E., Marinec Z., Feahersone W.E. [003: New views of he spherical Bouguer graviy anomaly, submied o Geophysical Journal Inernaional]. I has been shown ha i is: defined in he whole 3D space (i.e., i has a well defined disurbing poenial T CB;S (r,ω) associaed wih i) and ha i is indeed harmonic everywhere above he geoid. This is NT he case wih he sandard Bouguer anomaly. 1

The spherical complee Bouguer anomaly is defined by he following equaion on he earh surface: Ω Ω 0 TopoC : g B CB; S [ ] = g[ ] 4πGρ [ δρ; ] TC S [ ρ0; ] V T 0 [ ] where g is he generic graviy anomaly in he real space, TopoC B is he correcion for anomalous opographical densiy δρ, TC S is he spherical errain correcion evaluaed for consan opographical densiy ρ 0. 13

The difference beween spherical (NT) and planar complee Bouguer anomalies 65 60 55 190 170 50 150 130 110 90 45 70 50 30 10 40 10 15 0 5 30 35 40 45 50-10 14

The NT-anomalies coninued downward on he geoid 60 55 50 45 0 5 30 35 40 45 180 [mgal] 160 [mgal] 140 [mgal] 10 [mgal] 100 [mgal] 80 [mgal] 60 [mgal] 40 [mgal] 0 [mgal] 0 [mgal] -0 [mgal] -40 [mgal] -60 [mgal] -80 [mgal] -100 [mgal] -10 [mgal] -140 [mgal] -160 [mgal] 15

nce we have he (NT) anomalies on he surface of he earh in he NT-space, we coninue hem downward in he NT-space: hey are defined everywhere and are harmonic above he geoid. This is done by means of solving he Poisson inegral equaion. Noe ha g NT [r (Ω),Ω] g CB;S [r (Ω),Ω] are coninued downward o he elmer co-geoid o ge g NT [r g (Ω),Ω] where we wan o have hem see slide #7. Thus orhomeric heighs from elmer s space mus be used for he downward coninuaion in he NT-space. These differ from orhomeric heighs in he real space by he geoid - co-geoid separaion. 16

The NT-anomalies on elmer s co-geoid, g NT [r g (Ω),Ω], (obained as he Poisson soluion o he downward coninuaion problem), are hen ransformed o elmer s space. We ge g [r g (Ω),Ω], which are hen used as boundary values for he soluion of he BVP of he hird kind in elmer s space as originally envisaged. In spherical approximaion we ge (V c (r,ω) is he poenial of opography condensed on he geoid, V ca (r,ω) is he poenial of he amosphere condensed on he geoid): g 3 3 NT c ca (, Ω) = g (, Ω) V (, Ω) V (, Ω) 17

where V c 1 (, Ω) = G σ ( Ω ) l [, ψ ( Ω, Ω ), ] dω Ω Ω σ = ρ r= r dr = ρ 1 1 3. V ca ( ) lim a( ) 1, Ω = G ρ r r dr l [, ψ( Ω, Ω ),] Ω Ω r r = ( Ω ) dω and ρ a is he amospheric densiy. 18

The final soluion N (Ω) is ransformed ino he geoidal heigh N(Ω) (in he real space) by adding o N (Ω) he primary indirec effec δn (Ω) (in elmer s space). The soluion N (Ω) is again sough in he elmer space in order o minimize he primary indirec opographical effec, i.e., he geoid co-geoid separaion. (The corresponding quaniy δn NT (Ω) in he NT-space is very large and canno be compued accuraely enough.) 19

CNCLUSINS 1) This approach seems o work as well as he approach ha uses downward coninuaion in elmer s space. ) I may prove beneficial when denser graviy daa become available for geoid deerminaion. 0

Tha s all, folks! 1