Zhi Long Liu, Daniel Shen. Instructor: Alex Bayen

Size: px
Start display at page:

Download "Zhi Long Liu, Daniel Shen. Instructor: Alex Bayen"

Transcription

1 Student: Zhi Long Liu, Daniel Shen Instructor: Alex Bayen Advisor: Raja Sengupta

2 Background Problem Statement Simulations Error Analysis Analytical Model Conclusion Future Works

3 Interaction with ocean water & wind (velocity fields) shoreline (boundary conditions) Processes Involved: advection horizontal diffusion evaporation ocean current field random motion (discussed later) dissolution emulsification change in density & kinematic viscosity etc.

4 SPILL LOCATION: (south side of Portugal) ⁰ N 8.50 ⁰ W DIFFUSION D = 10 m 2 /sec ADVECTION Current Velocity Field data from NOAA (National Oceanic & Atmospheric Administration) duration: 4 days space accuracy: 1/8 ⁰ time accuracy: 6 hours

5 GNOME (General NOAA Operational Modeling Environment) MATLAB Analytical Solution of DE w/ the Mapping Toolbox Level Set Toolbox by Ian Mitchell Computer Science, UBC The Analytical Level GNOME Set Model

6

7

8

9 Diffusion matches well Diffusion Advection behave differently Advection + Diffusion 1. different interpolation technique of current field 2. small deviation in map file (boundary conditions)

10 Diffusion => Const Normal Expansion Advection => Convection

11 Advection + Diffusion

12 Diffusion Diffusion Const Expansion 1⁰ Longitude 1⁰ Latitude distorted Diffusion Advection no direct comparison should be fine Advection + Diffusion Point Source Instability not a point

13

14 The ADE: advection component diffusion + v C = D 2 C component W/O the advection part v = 0 the Diffusion Equation (DE) is v C = 0 = D 2 C

15 Problem Statement: no no boundary oil is a t = 0 mass is constant over all volume = D 2 C x 2 C ±, t = 0 C x, 0 = M/A δ x V C x, t dd = M (PDE) (BC) (IC) (mass cons.)

16 STEP 1: Vashy-Buckingham (π) Theorem. STEP 2: Use the Chain Rule & Plug into the DE PDE. STEP 3: Boundary Condition STEP 4: Initial Condition STEP 5: Mass Conservation

17 STEP 1: Vashy-Buckingham (π) Theorem. A = M L T C M/A D x t N rrrr = 2 π 1 = π 2 = C M/ x A DD DD Set similarity variable η = π 2 = x DD C = M A DD f x DD then C = M A DD f η

18 STEP 2: Use the Chain Rule & Plug into the DE PDE. C = M f η A DD C = M A DD = D 2 C x 2 chain rule f η = = M 2AA DD f η + η f η 2 C x 2 = chain rule M A DD f η = = M AAA 2 f DD η 2 d 2 f dη f η η dd dd = 0 ODE

19 STEP 3 & 4: Boundary Conditions & Initial Conditions Boundary Conditions C = M A DD f x DD C ±, t = 0 Initial Conditions C = M A DD f x DD C x, 0 = M/A δ x M A DD f x DD f ± = 0 x=± = 0 M A DD f x DD f x DD f ± = 0 BC s & IC s are the same. t=0 t=0 = δ x DD = M/A δ x

20 STEP 5: Mass Conservation V C x, t dd = M η = x DD x = η DD dd = DD dd V C x, t dd = = = M f η dd + M f η AAA A DD M DD f η DDdd f η dd = 1 = M

21 The ODE Problem d 2 f η dη f η f ± = 0, η dd η dd = 0, + f η dd = 1 Solution to the ODE C x, t = M/A 4πππ exp x2 4DD

22 Solution to the 1-D Diffusion Equation C x, t = M/A 4πππ exp x2 4DD Let σ 2 = 2DD, then the 1-D Diffusion Equation becomes C σ, x M/A = 1 2πσ exp x2 2σ 2 Gaussian distribution with variance σ 2. MATLAB command normrnd( μ, σ ) is used to model diffusion μ = 0 mean σ = 2DDD standard deviation Diffusion => Normal distribution

23 Solution to the 1-D Diffusion Equation C x, t = M/A 4πππ exp x 2 d 4DD For the 1-D Advection-Diffusion Equation: shifted by a velocity term C x, t = M/A 4πππ exp x a&d v x t 2 4DD x d = x a&d v x t x a&d = x d + v x t Advection => position increments

24 Particle Movement previous position current position diffusion component advection component convert factor from meter to degree

25 Boundary Condition at coastline Δd = vδt Δd 0 means Δt 0 (Small time increments )

26 Surface Movement

27 Boundary Condition at coastline High resolution binary mask Δx 0 & Δy 0 (small space increments)

28 Analytical Oil Spill Lagrangian Particles Diffusion Random Motion (Gaussian Distribution) Advection Velocity Field B.C. High resolution in time (small Δt) Level Set Oil Spill Stretchable Surface Diffusion Const Normal Expansion Advection Velocity Field B.C. High resolution in space (small Δx & Δy)

29 Level Set Diffusion Coefficient Const Diffusion Expansion Rate Diffusion Scaling in Vertical Dimension Possibly Moving Source?

30 [1]. Socolofsky, S., Jirka, G., Advective Diffusion Equation. Special Topics in Mixing and Transport Processes in the Environment 2 : [2] General NOAA Operational Modeling Environment (GNOME) Technical Documentation. Office of Response and Restoration. Emergency Response Division. [3]. Performing a Numerical Simulation of an Oil Spill. Mathworks. [4]. A Toolbox of Level Set Methods. Ian M. Mitchell. UBC Department of Computer Science Technical Report TR (June 2007).

31 The Advection-Diffusion Equation (ADE) : + v C = advection component diffusion D 2 C component where: 0 (incompressible for oil) v C + v C = concentration/density of fluid (oil) v = velocity of current field D = diffusion coefficient For incompressible fluid, v = 0, by the chain rule + v C = D 2 C

Simulating the dispersal of aging oil from the Deepwater Horizon spill with a Lagrangian approach

Simulating the dispersal of aging oil from the Deepwater Horizon spill with a Lagrangian approach Simulating the dispersal of aging oil from the Deepwater Horizon spill with a Lagrangian approach Elizabeth W. North 1, E. Eric Adams 2, Zachary Schlag 1, Christopher R. Sherwood 3, Rouying He 4, Kyung

More information

Introduction to Partial Differential Equation - I. Quick overview

Introduction to Partial Differential Equation - I. Quick overview Introduction to Partial Differential Equation - I. Quick overview To help explain the correspondence between a PDE and a real world phenomenon, we will use t to denote time and (x, y, z) to denote the

More information

Assessing fate and transport issues of the DWH oil spill using simulations and merged datasets

Assessing fate and transport issues of the DWH oil spill using simulations and merged datasets Assessing fate and transport issues of the DWH oil spill using simulations and merged datasets Pat Fitzpatrick Geosystems Research Institute Mississippi State University The influence of cyclones on the

More information

MAE502/MSE502 Partial Differential Equations in Engineering. Spring 2012 Mon/Wed 5:00-6:15 PM

MAE502/MSE502 Partial Differential Equations in Engineering. Spring 2012 Mon/Wed 5:00-6:15 PM MAE502/MSE502 Partial Differential Equations in Engineering Spring 2012 Mon/Wed 5:00-6:15 PM Instructor: Huei-Ping Huang, hp.huang@asu.edu (Huei rhymes with "way") Office: ERC 359 Office hours: Monday

More information

Control Volume. Dynamics and Kinematics. Basic Conservation Laws. Lecture 1: Introduction and Review 1/24/2017

Control Volume. Dynamics and Kinematics. Basic Conservation Laws. Lecture 1: Introduction and Review 1/24/2017 Lecture 1: Introduction and Review Dynamics and Kinematics Kinematics: The term kinematics means motion. Kinematics is the study of motion without regard for the cause. Dynamics: On the other hand, dynamics

More information

Lecture 1: Introduction and Review

Lecture 1: Introduction and Review Lecture 1: Introduction and Review Review of fundamental mathematical tools Fundamental and apparent forces Dynamics and Kinematics Kinematics: The term kinematics means motion. Kinematics is the study

More information

1/3/2011. This course discusses the physical laws that govern atmosphere/ocean motions.

1/3/2011. This course discusses the physical laws that govern atmosphere/ocean motions. Lecture 1: Introduction and Review Dynamics and Kinematics Kinematics: The term kinematics means motion. Kinematics is the study of motion without regard for the cause. Dynamics: On the other hand, dynamics

More information

1/18/2011. Conservation of Momentum Conservation of Mass Conservation of Energy Scaling Analysis ESS227 Prof. Jin-Yi Yu

1/18/2011. Conservation of Momentum Conservation of Mass Conservation of Energy Scaling Analysis ESS227 Prof. Jin-Yi Yu Lecture 2: Basic Conservation Laws Conservation Law of Momentum Newton s 2 nd Law of Momentum = absolute velocity viewed in an inertial system = rate of change of Ua following the motion in an inertial

More information

Conservation of Mass Conservation of Energy Scaling Analysis. ESS227 Prof. Jin-Yi Yu

Conservation of Mass Conservation of Energy Scaling Analysis. ESS227 Prof. Jin-Yi Yu Lecture 2: Basic Conservation Laws Conservation of Momentum Conservation of Mass Conservation of Energy Scaling Analysis Conservation Law of Momentum Newton s 2 nd Law of Momentum = absolute velocity viewed

More information

New developments in the General NOAA Operational Modeling Environment (GNOME)

New developments in the General NOAA Operational Modeling Environment (GNOME) New developments in the General NOAA Operational Modeling Environment (GNOME) Christopher H. Barker NOAA Office of Response and Restoration Emergency Response Division http://response.restoration.noaa.gov

More information

MAE/MSE502 Partial Differential Equations in Engineering. Spring 2019 Mon/Wed 6:00-7:15 PM Classroom: CAVC 101

MAE/MSE502 Partial Differential Equations in Engineering. Spring 2019 Mon/Wed 6:00-7:15 PM Classroom: CAVC 101 MAE/MSE502 Partial Differential Equations in Engineering Spring 2019 Mon/Wed 6:00-7:15 PM Classroom: CAVC 101 Instructor: Huei-Ping Huang, hp.huang@asu.edu Office: ERC 359 Office hours: Monday 3-4 PM,

More information

Introduction to Heat and Mass Transfer. Week 10

Introduction to Heat and Mass Transfer. Week 10 Introduction to Heat and Mass Transfer Week 10 Concentration Boundary Layer No concentration jump condition requires species adjacent to surface to have same concentration as at the surface Owing to concentration

More information

Project Title: Arctic Oil Spill Modeling

Project Title: Arctic Oil Spill Modeling Project Title: Arctic Oil Spill Modeling FOA/NOFO Research Question(s): Topic 1a, Maritime Risk & Threat Analysis; Topic 2a, Coastal and Marine Critical Infrastructure development; Topic 2b, Coastal and

More information

1.061 / 1.61 Transport Processes in the Environment

1.061 / 1.61 Transport Processes in the Environment MIT OpenCourseWare http://ocw.mit.edu 1.061 / 1.61 Transport Processes in the Environment Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Solution

More information

ESS314. Basics of Geophysical Fluid Dynamics by John Booker and Gerard Roe. Conservation Laws

ESS314. Basics of Geophysical Fluid Dynamics by John Booker and Gerard Roe. Conservation Laws ESS314 Basics of Geophysical Fluid Dynamics by John Booker and Gerard Roe Conservation Laws The big differences between fluids and other forms of matter are that they are continuous and they deform internally

More information

AN INTEGRATED MODELING APPROACH FOR SIMULATING OIL SPILL AT THE STRAIT OF BOHAI SEA. Jinhua Wang 1 and Jinshan Zhang 1

AN INTEGRATED MODELING APPROACH FOR SIMULATING OIL SPILL AT THE STRAIT OF BOHAI SEA. Jinhua Wang 1 and Jinshan Zhang 1 AN INTEGRATED MODELING APPROACH FOR SIMULATING OIL SPILL AT THE STRAIT OF BOHAI SEA Jinhua Wang 1 and Jinshan Zhang 1 A three dimensional integrated model is developed for simulating oil spills transport

More information

HADLEY CELL EXPANSION IN TODAY S CLIMATE AND PALEOCLIMATES

HADLEY CELL EXPANSION IN TODAY S CLIMATE AND PALEOCLIMATES HADLEY CELL EXPANSION IN TODAY S CLIMATE AND PALEOCLIMATES Bill Langford University Professor Emeritus Department of Mathematics and Statistics University of Guelph, Canada Presented to the BioM&S Symposium

More information

1/27/2010. With this method, all filed variables are separated into. from the basic state: Assumptions 1: : the basic state variables must

1/27/2010. With this method, all filed variables are separated into. from the basic state: Assumptions 1: : the basic state variables must Lecture 5: Waves in Atmosphere Perturbation Method With this method, all filed variables are separated into two parts: (a) a basic state part and (b) a deviation from the basic state: Perturbation Method

More information

Gravity Waves. Lecture 5: Waves in Atmosphere. Waves in the Atmosphere and Oceans. Internal Gravity (Buoyancy) Waves 2/9/2017

Gravity Waves. Lecture 5: Waves in Atmosphere. Waves in the Atmosphere and Oceans. Internal Gravity (Buoyancy) Waves 2/9/2017 Lecture 5: Waves in Atmosphere Perturbation Method Properties of Wave Shallow Water Model Gravity Waves Rossby Waves Waves in the Atmosphere and Oceans Restoring Force Conservation of potential temperature

More information

Chapter 4 Water Vapor

Chapter 4 Water Vapor Chapter 4 Water Vapor Chapter overview: Phases of water Vapor pressure at saturation Moisture variables o Mixing ratio, specific humidity, relative humidity, dew point temperature o Absolute vs. relative

More information

OCN-ATM-ESS 587. Simple and basic dynamical ideas.. Newton s Laws. Pressure and hydrostatic balance. The Coriolis effect. Geostrophic balance

OCN-ATM-ESS 587. Simple and basic dynamical ideas.. Newton s Laws. Pressure and hydrostatic balance. The Coriolis effect. Geostrophic balance OCN-ATM-ESS 587 Simple and basic dynamical ideas.. Newton s Laws Pressure and hydrostatic balance The Coriolis effect Geostrophic balance Lagrangian-Eulerian coordinate frames Coupled Ocean- Atmosphere

More information

2. Outline of the MRI-EPS

2. Outline of the MRI-EPS 2. Outline of the MRI-EPS The MRI-EPS includes BGM cycle system running on the MRI supercomputer system, which is developed by using the operational one-month forecasting system by the Climate Prediction

More information

Scale analysis of the vertical equation of motion:

Scale analysis of the vertical equation of motion: Scale analysis of the vertical equation of motion: As we did with the hz eqns, we do for the vertical to estimate the order of magnitude of Dw/ we take the largest of the terms, Dw -- W/T h UW/L W 2 /H

More information

RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS

RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS -Version 2.0- (January 2007) 1. Introduction In the context of current agreements between the National Oceanic and Atmospheric

More information

Special Characters. Commands and Functions

Special Characters. Commands and Functions 142 Chapter 4 Manipulating MATLAB Matrices MATLAB SUMMARY The following MATLAB summary lists and briefly describes all of the special characters, commands, and functions that were defined in this chapter.

More information

wavelength (nm)

wavelength (nm) Blackbody radiation Everything with a temperature above absolute zero emits electromagnetic radiation. This phenomenon is called blackbody radiation. The intensity and the peak wavelength of the radiation

More information

MUDMAP TM. Software Description

MUDMAP TM. Software Description ASA Applied Science Associates, Inc. 70 Dean Knauss Drive Narragansett, RI 02882-1143 U.S.A. Tel: 401-789-6224 Fax: 401-789-1932 asa@asascience.com www.asascience.com MUDMAP TM Software Description MUDMAP

More information

Introduction to Fluid Dynamics

Introduction to Fluid Dynamics Introduction to Fluid Dynamics Roger K. Smith Skript - auf englisch! Umsonst im Internet http://www.meteo.physik.uni-muenchen.de Wählen: Lehre Manuskripte Download User Name: meteo Password: download Aim

More information

Matthew W. Milligan. Kinematics. What do you remember?

Matthew W. Milligan. Kinematics. What do you remember? Kinematics What do you remember? Kinematics Unit Outline I. Six Definitions: Distance, Position, Displacement, Speed, Velocity, Acceleration II. Graphical Interpretations III. Constant acceleration model

More information

Horizontal buoyancy-driven flow along a differentially cooled underlying surface

Horizontal buoyancy-driven flow along a differentially cooled underlying surface Horizontal buoyancy-driven flow along a differentially cooled underlying surface By Alan Shapiro and Evgeni Fedorovich School of Meteorology, University of Oklahoma, Norman, OK, USA 6th Baltic Heat Transfer

More information

The University of Texas at Austin. Icebox Model Projections for Sea Level Fall in the Gulf Coast and Caribbean Sea Region

The University of Texas at Austin. Icebox Model Projections for Sea Level Fall in the Gulf Coast and Caribbean Sea Region The University of Texas at Austin Icebox Model Projections for Sea Level Fall in the Gulf Coast and Caribbean Sea Region Lizzadro-McPherson, Daniel J. December 3rd, 2015 Introduction Many climate scientists

More information

Fluid Mechanics II Viscosity and shear stresses

Fluid Mechanics II Viscosity and shear stresses Fluid Mechanics II Viscosity and shear stresses Shear stresses in a Newtonian fluid A fluid at rest can not resist shearing forces. Under the action of such forces it deforms continuously, however small

More information

EGR 111 Heat Transfer

EGR 111 Heat Transfer EGR 111 Heat Transfer The purpose of this lab is to use MATLAB to determine the heat transfer in a 1-dimensional system. New MATLAB commands: (none) 1. Heat Transfer 101 Heat Transfer is thermal energy

More information

Surface Circulation in the North Atlantic & off of Southern California: Two Models

Surface Circulation in the North Atlantic & off of Southern California: Two Models Surface Circulation in the North Atlantic & off of Southern California: Two Models Objective 1. To become familiar with the forces which produce the circulation patterns in lake or ocean basins. 2. To

More information

( ) = 1005 J kg 1 K 1 ;

( ) = 1005 J kg 1 K 1 ; Problem Set 3 1. A parcel of water is added to the ocean surface that is denser (heavier) than any of the waters in the ocean. Suppose the parcel sinks to the ocean bottom; estimate the change in temperature

More information

Physics-Based Animation

Physics-Based Animation CSCI 5980/8980: Special Topics in Computer Science Physics-Based Animation 13 Fluid simulation with grids October 20, 2015 Today Presentation schedule Fluid simulation with grids Course feedback survey

More information

Lecture 3: Convective Heat Transfer I

Lecture 3: Convective Heat Transfer I Lecture 3: Convective Heat Transfer I Kerry Emanuel; notes by Paige Martin and Daniel Mukiibi June 18 1 Introduction In the first lecture, we discussed radiative transfer in the climate system. Here, we

More information

Mathematical Concepts & Notation

Mathematical Concepts & Notation Mathematical Concepts & Notation Appendix A: Notation x, δx: a small change in x t : the partial derivative with respect to t holding the other variables fixed d : the time derivative of a quantity that

More information

Using PDF Equations to describe Rayleigh Bénard Convection

Using PDF Equations to describe Rayleigh Bénard Convection MÜNSTER Using PDF Equations to describe Rayleigh Bénard Convection 1 M. Wilczek 21 R. Friedrich 1 R. Stevens 23 D. Lohse 3 1 University of Münster 2 University of Baltimore 3 University of Twente Contents

More information

PAJ Oil Spill Simulation Model for the Sea of Okhotsk

PAJ Oil Spill Simulation Model for the Sea of Okhotsk PAJ Oil Spill Simulation Model for the Sea of Okhotsk 1. Introduction Fuji Research Institute Corporation Takashi Fujii In order to assist in remedial activities in the event of a major oil spill The Petroleum

More information

Figure 1: Surface waves

Figure 1: Surface waves 4 Surface Waves on Liquids 1 4 Surface Waves on Liquids 4.1 Introduction We consider waves on the surface of liquids, e.g. waves on the sea or a lake or a river. These can be generated by the wind, by

More information

Dan s Morris s Notes on Stable Fluids (Jos Stam, SIGGRAPH 1999)

Dan s Morris s Notes on Stable Fluids (Jos Stam, SIGGRAPH 1999) Dan s Morris s Notes on Stable Fluids (Jos Stam, SIGGRAPH 1999) This is intended to be a detailed by fairly-low-math explanation of Stam s Stable Fluids, one of the key papers in a recent series of advances

More information

Title of Paper: Computational grid generation modeling transport of pathogens in Lake Michigan

Title of Paper: Computational grid generation modeling transport of pathogens in Lake Michigan Title of Paper: Computational grid generation modeling transport of pathogens in Lake Michigan Authors Names: Peter N. Shedivy, Hector Bravo PhD Abstract: An estimated 1.2 million people, mostly young

More information

Diffusion / Parabolic Equations. PHY 688: Numerical Methods for (Astro)Physics

Diffusion / Parabolic Equations. PHY 688: Numerical Methods for (Astro)Physics Diffusion / Parabolic Equations Summary of PDEs (so far...) Hyperbolic Think: advection Real, finite speed(s) at which information propagates carries changes in the solution Second-order explicit methods

More information

Tracking Hurricane Sandy

Tracking Hurricane Sandy Name: Date: Tracking Hurricane Sandy Purpose: The purpose of this lab is to use data collected during Hurricane Sandy to track the movement of its low-pressure center. The student will also answer questions

More information

Near Field Behavior of Oil & Gas Plumes

Near Field Behavior of Oil & Gas Plumes Near Field Behavior of Oil & Gas Plumes Effects of bubble/ droplet sizes Eric Adams and S. Socolofsky A. Chow G. Chan 1 Phase Separation Socolofsky & Adams (2002) Bubbles & droplets can separate from plume

More information

Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition

Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition Prof. Tesler Math 283 Fall 2016 Also see the separate version of this with Matlab and R commands. Prof. Tesler Diagonalizing

More information

5. TRACKING AND SURVEILLANCE

5. TRACKING AND SURVEILLANCE 5. Knowledge of the present position of spilled oil and an ability to predict its motion are essential components of any oil spill response. This function is known as surveillance and tracking and has

More information

Strauss PDEs 2e: Section Exercise 2 Page 1 of 8. In order to do so, we ll solve for the Green s function G(x, t) in the corresponding PDE,

Strauss PDEs 2e: Section Exercise 2 Page 1 of 8. In order to do so, we ll solve for the Green s function G(x, t) in the corresponding PDE, Strauss PDEs 2e: Section 2.4 - Eercise 2 Page of 8 Eercise 2 Do the same for φ() = for > and φ() = 3 for

More information

Winds and Currents in the Oceans

Winds and Currents in the Oceans Winds and Currents in the Oceans Atmospheric Processes Density of air is controlled by temperature, pressure, and moisture content. 1. Warm air is less dense than cold air and moist air is less dense than

More information

Linear model for investigation of nonlinear NWP model accuracy. Marko Zirk, University of Tartu

Linear model for investigation of nonlinear NWP model accuracy. Marko Zirk, University of Tartu Linear model for investigation of nonlinear NWP model accuracy Marko Zirk, University of Tartu Introduction A method for finding numerical solution of non-hydrostatic linear equations of atmospheric dynamics

More information

Evapotranspiration. Rabi H. Mohtar ABE 325

Evapotranspiration. Rabi H. Mohtar ABE 325 Evapotranspiration Rabi H. Mohtar ABE 325 Introduction What is it? Factors affecting it? Why we need to estimate it? Latent heat of vaporization: Liquid gas o Energy needed o Cooling process Saturation

More information

Name. Chemical Engineering 150A Mid-term Examination 1 Spring 2013

Name. Chemical Engineering 150A Mid-term Examination 1 Spring 2013 Name Chemical Engineering 150A Mid-term Examination 1 Spring 2013 Show your work. Clearly identify any assumptions you are making, indicate your reasoning, and clearly identify any variables that are not

More information

11. SIMILARITY SCALING

11. SIMILARITY SCALING 11. SIMILARITY SCALING In Section 10 we introduced a non-dimensional parameter called the Lundquist number, denoted by S. This is just one of many non-dimensional parameters that can appear in the formulations

More information

Overview of the Numerics of the ECMWF. Atmospheric Forecast Model

Overview of the Numerics of the ECMWF. Atmospheric Forecast Model Overview of the Numerics of the Atmospheric Forecast Model M. Hortal Seminar 6 Sept 2004 Slide 1 Characteristics of the model Hydrostatic shallow-atmosphere approimation Pressure-based hybrid vertical

More information

Hurricane Season 2010 & NOAA s Deepwater Response

Hurricane Season 2010 & NOAA s Deepwater Response Hurricane Season 2010 & NOAA s Deepwater Response What s Happened? What Will 2010 Bring? Possible Shoreline Effects Darin Figurskey Meteorologist-in-Charge NOAA s NWS Raleigh, NC NOAA s National Weather

More information

Heat, Conduction, and Diffusion by John Booker and Gerard Roe

Heat, Conduction, and Diffusion by John Booker and Gerard Roe ESS314 Heat, Conduction, and Diffusion by John Booker and Gerard Roe Introduction There are many interesting questions that involve the physical transfer of heat. These include: 1. How does a bathylith

More information

Air Pollution Meteorology

Air Pollution Meteorology Air Pollution Meteorology Government Pilots Utilities Public Farmers Severe Weather Storm / Hurricane Frost / Freeze Significant Weather Fog / Haze / Cloud Precipitation High Resolution Weather & Dispersion

More information

Chapter 4 Two-Dimensional Kinematics. Copyright 2010 Pearson Education, Inc.

Chapter 4 Two-Dimensional Kinematics. Copyright 2010 Pearson Education, Inc. Chapter 4 Two-Dimensional Kinematics Units of Chapter 4 Motion in Two Dimensions Projectile Motion: Basic Equations Zero Launch Angle General Launch Angle Projectile Motion: Key Characteristics 4-1 Motion

More information

1. INTRODUCTION TO CFD SPRING 2018

1. INTRODUCTION TO CFD SPRING 2018 1. INTRODUCTION TO CFD SPRING 018 1.1 What is computational fluid dynamics? 1. Basic principles of CFD 1.3 Stages in a CFD simulation 1.4 Fluid-flow equations 1.5 The main discretisation methods Appendices

More information

Methods of Data Assimilation and Comparisons for Lagrangian Data

Methods of Data Assimilation and Comparisons for Lagrangian Data Methods of Data Assimilation and Comparisons for Lagrangian Data Chris Jones, Warwick and UNC-CH Kayo Ide, UCLA Andrew Stuart, Jochen Voss, Warwick Guillaume Vernieres, UNC-CH Amarjit Budiraja, UNC-CH

More information

Tutorial 6. Fluid Kinematics

Tutorial 6. Fluid Kinematics Tutorial 6 Fluid Kinematics 1. Water is flowing through a pipe of 2.5cm diameter with a velocity of 0.5m/s. Compute the discharge in m 3 /s and litres/s. Diameter of pipe (d) = 2.5cm = 0.025m C/S Area

More information

.u= 0 ρ( u t +(u. )u)= ρ g p+.[µ( u+ t u)]

.u= 0 ρ( u t +(u. )u)= ρ g p+.[µ( u+ t u)] THETIS is a numerical simulation tool developed by University of Bordeaux. It is a versatile code to solve different problems: fluid flows, heat transfers, scalar transports or porous mediums. The potential

More information

Fundamentals Physics

Fundamentals Physics Fundamentals Physics And Differential Equations 1 Dynamics Dynamics of a material point Ideal case, but often sufficient Dynamics of a solid Including rotation, torques 2 Position, Velocity, Acceleration

More information

Soft Bodies. Good approximation for hard ones. approximation breaks when objects break, or deform. Generalization: soft (deformable) bodies

Soft Bodies. Good approximation for hard ones. approximation breaks when objects break, or deform. Generalization: soft (deformable) bodies Soft-Body Physics Soft Bodies Realistic objects are not purely rigid. Good approximation for hard ones. approximation breaks when objects break, or deform. Generalization: soft (deformable) bodies Deformed

More information

Minghao Wu Rostami Address: Webpage: Positions Tenure-Track Assistant Professor Postdoctoral Researcher Lecturer Graduate Assistant

Minghao Wu Rostami Address:   Webpage: Positions Tenure-Track Assistant Professor Postdoctoral Researcher Lecturer Graduate Assistant Minghao Wu Rostami Address: Department of Mathematics, 215 Carnegie Building, Syracuse University, Syracuse, NY 13244 Email: mwrostam@syr.edu Webpage: http://mwrostam.mysite.syr.edu/ Positions Tenure-Track

More information

Chapter 1. Governing Equations of GFD. 1.1 Mass continuity

Chapter 1. Governing Equations of GFD. 1.1 Mass continuity Chapter 1 Governing Equations of GFD The fluid dynamical governing equations consist of an equation for mass continuity, one for the momentum budget, and one or more additional equations to account for

More information

Ocean currents: some misconceptions and some dynamics

Ocean currents: some misconceptions and some dynamics Ocean currents: some misconceptions and some dynamics Joe LaCasce Dept. Geosciences October 30, 2012 Where is the Gulf Stream? BBC Weather Center Where is the Gulf Stream? Univ. Bergen news website (2011)

More information

VIBRATING BASE PENDULUM. Math 485 Project team Thomas Bello Emily Huang Fabian Lopez Kellin Rumsey Tao Tao

VIBRATING BASE PENDULUM. Math 485 Project team Thomas Bello Emily Huang Fabian Lopez Kellin Rumsey Tao Tao VIBRATING BASE PENDULUM Math 485 Project team Thomas Bello Emily Huang Fabian Lopez Kellin Rumsey Tao Tao Agenda Midterm Recap Equation of Motion & Energy Modeling Effective Potential Stability Analysis

More information

SMS 303: Integrative Marine

SMS 303: Integrative Marine SMS 303: Integrative Marine Sciences III Instructor: E. Boss, TA: A. Palacz emmanuel.boss@maine.edu, 581-4378 5 weeks & topics: diffusion, mixing, tides, Coriolis, and waves. Pre-class quiz. Mixing: What

More information

Introduction to Heat and Mass Transfer. Week 12

Introduction to Heat and Mass Transfer. Week 12 Introduction to Heat and Mass Transfer Week 12 Next Topic Convective Heat Transfer» Heat and Mass Transfer Analogy» Evaporative Cooling» Types of Flows Heat and Mass Transfer Analogy Equations governing

More information

Goals of this Chapter

Goals of this Chapter Waves in the Atmosphere and Oceans Restoring Force Conservation of potential temperature in the presence of positive static stability internal gravity waves Conservation of potential vorticity in the presence

More information

RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS

RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS (January 2015) 1. Introduction In the context of current agreements between the National Oceanic and Atmospheric Administration

More information

ME3560 Tentative Schedule Spring 2019

ME3560 Tentative Schedule Spring 2019 ME3560 Tentative Schedule Spring 2019 Week Number Date Lecture Topics Covered Prior to Lecture Read Section Assignment Prep Problems for Prep Probs. Must be Solved by 1 Monday 1/7/2019 1 Introduction to

More information

Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition

Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition Prof. Tesler Math 283 Fall 2018 Also see the separate version of this with Matlab and R commands. Prof. Tesler Diagonalizing

More information

10. Buoyancy-driven flow

10. Buoyancy-driven flow 10. Buoyancy-driven flow For such flows to occur, need: Gravity field Variation of density (note: not the same as variable density!) Simplest case: Viscous flow, incompressible fluid, density-variation

More information

Chapter 5. Methods for Solving Elliptic Equations

Chapter 5. Methods for Solving Elliptic Equations Chapter 5. Methods for Solving Elliptic Equations References: Tannehill et al Section 4.3. Fulton et al (1986 MWR). Recommended reading: Chapter 7, Numerical Methods for Engineering Application. J. H.

More information

HYSPLIT RESULTS: HYSPLIT:-

HYSPLIT RESULTS: HYSPLIT:- HYSPLIT RESULTS: HYSPLIT:- Lagrangian particle models compute trajectories of a large number of so-called particles to describe the transport and diffusion of tracers in the atmosphere. The main advantage

More information

ME3560 Tentative Schedule Fall 2018

ME3560 Tentative Schedule Fall 2018 ME3560 Tentative Schedule Fall 2018 Week Number 1 Wednesday 8/29/2018 1 Date Lecture Topics Covered Introduction to course, syllabus and class policies. Math Review. Differentiation. Prior to Lecture Read

More information

Correlation, discrete Fourier transforms and the power spectral density

Correlation, discrete Fourier transforms and the power spectral density Correlation, discrete Fourier transforms and the power spectral density visuals to accompany lectures, notes and m-files by Tak Igusa tigusa@jhu.edu Department of Civil Engineering Johns Hopkins University

More information

Lecture 27 (Walker: ) Fluid Dynamics Nov. 9, 2009

Lecture 27 (Walker: ) Fluid Dynamics Nov. 9, 2009 Physics 111 Lecture 27 (Walker: 15.5-7) Fluid Dynamics Nov. 9, 2009 Midterm #2 - Monday Nov. 16 Chap. 7,Chap. 8 (not 8.5) Chap. 9 (not 9.6, 9.8) Chap. 10, Chap. 11 (not 11.8-9) Chap. 13 (not 13.6-8) Chap.

More information

HARMONIC CONSTANTS Product Specification

HARMONIC CONSTANTS Product Specification HARMONIC CONSTANTS Product Specification Edition 1.0 Edition 1 November 2006 1 Contents 1. Introduction 1.1 General 1.2 Definitions 2. General Information 2.1 Observation of the Tide 2.2 Harmonic Analysis

More information

ENGR 292 Fluids and Thermodynamics

ENGR 292 Fluids and Thermodynamics ENGR 292 Fluids and Thermodynamics Scott Li, Ph.D., P.Eng. Mechanical Engineering Technology Camosun College Jan.13, 2017 Review of Last Class Course Outline Class Information Contact Information, Website

More information

Unit 4: The Nature of Matter

Unit 4: The Nature of Matter 16 16 Table of Contents Unit 4: The Nature of Matter Chapter 16: Solids, Liquids, and Gases 16.1: Kinetic Theory 16.2: Properties and Fluids 16.3: Behavior of Gases 16.1 Kinetic Theory Kinetic Theory kinetic

More information

Transactions on Ecology and the Environment vol 20, 1998 WIT Press, ISSN

Transactions on Ecology and the Environment vol 20, 1998 WIT Press,  ISSN Assessment of the risk of shore contamination by offshore oil spills: model formulation A.N Findikakis*, A.W.K. Lav/ & Y. Papadimitrakis^ ^Bechtel National Inc., San Francisco Email: anfindik@bechtei com

More information

ATS 421/521. Climate Modeling. Spring 2015

ATS 421/521. Climate Modeling. Spring 2015 ATS 421/521 Climate Modeling Spring 2015 Lecture 9 Hadley Circulation (Held and Hou, 1980) General Circulation Models (tetbook chapter 3.2.3; course notes chapter 5.3) The Primitive Equations (tetbook

More information

1. INTRODUCTION TO CFD SPRING 2019

1. INTRODUCTION TO CFD SPRING 2019 1. INTRODUCTION TO CFD SPRING 2019 1.1 What is computational fluid dynamics? 1.2 Basic principles of CFD 1.3 Stages in a CFD simulation 1.4 Fluid-flow equations 1.5 The main discretisation methods Appendices

More information

d v 2 v = d v d t i n where "in" and "rot" denote the inertial (absolute) and rotating frames. Equation of motion F =

d v 2 v = d v d t i n where in and rot denote the inertial (absolute) and rotating frames. Equation of motion F = Governing equations of fluid dynamics under the influence of Earth rotation (Navier-Stokes Equations in rotating frame) Recap: From kinematic consideration, d v i n d t i n = d v rot d t r o t 2 v rot

More information

Full-field pressure from 3D PIV snapshots in convective turbulent flow

Full-field pressure from 3D PIV snapshots in convective turbulent flow Full-field pressure from 3D PIV snapshots in convective turbulent flow Angeliki Laskari *, Roeland de Kat, Bharathram Ganapathisubramani Aerodynamics and Flight Mechanics Research Group, University of

More information

The General Circulation of the Atmosphere: A Numerical Experiment

The General Circulation of the Atmosphere: A Numerical Experiment The General Circulation of the Atmosphere: A Numerical Experiment Norman A. Phillips (1956) Presentation by Lukas Strebel and Fabian Thüring Goal of the Model Numerically predict the mean state of the

More information

centrifugal acceleration, whose magnitude is r cos, is zero at the poles and maximum at the equator. This distribution of the centrifugal acceleration

centrifugal acceleration, whose magnitude is r cos, is zero at the poles and maximum at the equator. This distribution of the centrifugal acceleration Lecture 10. Equations of Motion Centripetal Acceleration, Gravitation and Gravity The centripetal acceleration of a body located on the Earth's surface at a distance from the center is the force (per unit

More information

Relativistic Hydrodynamics L3&4/SS14/ZAH

Relativistic Hydrodynamics L3&4/SS14/ZAH Conservation form: Remember: [ q] 0 conservative div Flux t f non-conservative 1. Euler equations: are the hydrodynamical equations describing the time-evolution of ideal fluids/plasmas, i.e., frictionless

More information

ME 144: Heat Transfer Introduction to Convection. J. M. Meyers

ME 144: Heat Transfer Introduction to Convection. J. M. Meyers ME 144: Heat Transfer Introduction to Convection Introductory Remarks Convection heat transfer differs from diffusion heat transfer in that a bulk fluid motion is present which augments the overall heat

More information

AA210A Fundamentals of Compressible Flow. Chapter 5 -The conservation equations

AA210A Fundamentals of Compressible Flow. Chapter 5 -The conservation equations AA210A Fundamentals of Compressible Flow Chapter 5 -The conservation equations 1 5.1 Leibniz rule for differentiation of integrals Differentiation under the integral sign. According to the fundamental

More information

BACHELOR OF TECHNOLOGY IN MECHANICAL ENGINEERING (COMPUTER INTEGRATED MANUFACTURING)

BACHELOR OF TECHNOLOGY IN MECHANICAL ENGINEERING (COMPUTER INTEGRATED MANUFACTURING) No. of Printed Pages : 6 BME-028 BACHELOR OF TECHNOLOGY IN MECHANICAL ENGINEERING (COMPUTER INTEGRATED MANUFACTURING) Term-End Examination December, 2011 00792 BME-028 : FLUID MECHANICS Time : 3 hours

More information

RISING SEA. Reading Practice. Paragraph 1. INCREASED TEMPERATURES

RISING SEA. Reading Practice. Paragraph 1. INCREASED TEMPERATURES Reading Practice RISING SEA Paragraph 1. INCREASED TEMPERATURES The average air temperature at the surface of the earth has risen this century, as has the temperature of ocean surface waters. Because water

More information

PHYS 432 Physics of Fluids: Instabilities

PHYS 432 Physics of Fluids: Instabilities PHYS 432 Physics of Fluids: Instabilities 1. Internal gravity waves Background state being perturbed: A stratified fluid in hydrostatic balance. It can be constant density like the ocean or compressible

More information

Water Bodies Subjected to Waves

Water Bodies Subjected to Waves The Transport of Oil in Water Bodies Subjected to Waves Jim Weaver, PhD National Exposure Research Lab, Athens GA Weaver.jim@epa.gov Michel C. Boufadel, PhD, PE Temple University, Philadelphia Pennsylvania

More information

Physical Oceanography OEAS 405/505 Fall 2013

Physical Oceanography OEAS 405/505 Fall 2013 Physical Oceanography OEAS 405/505 Fall 2013 Instructor: Prof. Tal Ezer http://www.ccpo.odu.edu/facstaff/faculty/tezer/ezer.html Office: CCPO, Innovation Research Park Bldg. #1 4111 Monarch Way, Room 3217

More information

Identification of flow structures by Lagrangian trajectory methods

Identification of flow structures by Lagrangian trajectory methods Identification of flow structures by Lagrangian trajectory methods Tomas Torsvik Wave Engineering Laboratory Institute of Cybernetics at Tallinn University of Technology Non-homogeneous fluids and flows

More information