Royal Irish Academymathsci.ucd.ie/~plynch/Talks/STOKES-AHOY.pdf · Stokes’ Law was important for...
Transcript of Royal Irish Academymathsci.ucd.ie/~plynch/Talks/STOKES-AHOY.pdf · Stokes’ Law was important for...
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Royal Irish Academy
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Stokes Centenary
The Navier-StokesEquations:
The Key to Modern WeatherForecasting.
Peter LynchMet Eireann
Dublin19 June, 2003
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Outline of Talk
Stokes’ Contributions (c. 1850)
The Pre-history of Numerical WeatherPrediction (c. 1900)
The ENIAC Integrations (c. 1950)
Modern Computer Forecasting (c. 2000)
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C. L. M. H. Navier, 1785–1836
Claude Louis Marie Henri NavierSee Notices of the American Mathematical Society, Vol 50, 7– 13 (Jan. 2003).
Article on Navier’s collapsing bridge.
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George G Stokes, 1819–1903
George Gabriel Stokes, founder of modern hydrodynamics.
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A crude but indicative metric
In his book Hydrodynamics,(6th edition), Horace Lamb
has more than 50 pagereferences to Stokes.
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Some Contributions of Stokes
to Meteorological Science.
Stokes’ Theorem
Stokes Drag and Stokes’ Law
Stokes Drift
Stokes Waves
Campbell-Stokes Sunshine Recorder
Navier-Stokes Equations
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Stokes’ Theorem
∮ΓV·dl =
∫ ∫Σ∇×V · n da .
Stokes’ Theorem was actually discovered by Kelvin in 1854.It is of central importance in fluid dynamics. It played a
role in the development of Bjerknes’ Circulation Theorem:
dC
dt= −
∫ ∫Σ∇1
ρ×∇p·da = −
∮Γ
dp
ρ,
which generalized Kelvin’s Circulation Theorem to baro-clinic fluids (ρ varying independently of p), and ushered inthe study of Geophysical Fluid Dynamics.
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Innocent Questions — and —
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Innocent Questions — and —
The Victorian Father’s Responses
Son: Pater, why is the sky blue?Father: Son, you must study the works ofJohn Tyndall.
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Innocent Questions — and —
The Victorian Father’s Responses
Son: Pater, why is the sky blue?Father: Son, you must study the works ofJohn Tyndall.
Son: Pater, why don’t clouds fall down?Father: Son, you must study the works ofGeorge Stokes.
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Stokes Drag and Stokes’ LawA more helpful answer:
Son: Daddy, why don’t clouds fall down?Dad: Clouds do fall, but very slowly!
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Stokes Drag and Stokes’ LawA more helpful answer:
Son: Daddy, why don’t clouds fall down?Dad: Clouds do fall, but very slowly!
Stokes formulated the drag law for small particles in a fluid.
F = 6πµrv
This leads an expression for the terminal velocity:
vs =2r2ρg
9µ
A particle of radius 5 microns falls with a terminal speedof about 3 mm/s. Thus, it takes about four days to fallthrough one kilometre.
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Stokes Flow
Stokes Flow is steady flow in which there is a balance be-tween the viscous and pressure gradient forces:
ν∇2V =1
ρ∇p .
This balance may be valid for small Reynolds Number.
This balance leads to Stokes’ Paradox: Such flow is notpossible everywhere. The effect of an obstacle is felt atlarge distances. Inertial terms are important somewhere.
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Hydrodynamics: A study in Logic, Fact and Similitude
by Garrett Birkhoff
Chapter 1 of the book is entitled
Hydrodynamical Paradoxes.
By a Paradox, we mean A plausible argument that yieldsconclusions at variance with observations.
In fluid systems paradoxes often arise because:
• Arbitrarily small causes can produce finite effects
• An apparent symmetry of causes is not necessarily pre-served in the effects
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Some Paradoxes in Hydrodynamics
• D’Alembert’s Paradox
• The Reversibility Paradox
• Paradoxes of Airfoil Theory
• The Rayleigh Paradox
• Von Neumann’s Paradox
• Kopal’s Paradox
• The Eiffel Paradox
• The Rising Bubble Paradox
• The Magnus Effect Paradox
• Stokes’ Paradox
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Euler’s Equations
Leonhard Euler, born on 15April, 1707 in Basel. Died on18 September, 1783 in St Pe-tersburg.Euler formulated the equa-tions for incompressible, in-viscid fluid flow:
∂V
∂t+ V · ∇V +
1
ρ∇p = g .
∇ ·V = 0
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Jean Le Rond d’Alembert
A body moving at constant speed through a gas or a fluiddoes not experience any resistance (D’Alembert 1752).
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Hypothetical Fluid Flow
Purely Inviscid Flow. Upstream-downstream symmetry.
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Actual Fluid Flow
Viscous Flow. Strong upstream-downstream assymmetry.
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Resolution of d’Alembert’s Paradox
The minutest amount of viscosity has a profoundqualitative impact on the character of the solution.
The Navier-Stokes equations incorporate the effect ofviscosity.
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The Campbell-StokesSunshine Recorder
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An Early Sunshine Recorder
Athanasius Kircher was Pro-fessor of Mathematics andHebrew at the Collegio Ro-mano. Around 1646 hedevised a recording sundialcalled the Horologium Helio-causticum.
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The Horologium Helio-causticum
A Sundial is drawn in the shell, “together with things forburning and making sounds.”
With Light and sound the glassy sphere shows thee thehours; Truly, it is the work of the heavenly fire.
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Campbell’s Sunshine Recorder.
The “self-registering sundial” of J. F. Campbell (c. 1853).
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Robert Henry Scott (1833–1916)
Robert Scott, born in Dublin,was founder of Valentia Ob-servatory and first Director ofthe British Meteorological Of-fice.
Scott proposed some im-provements to Campbell’ssunshine recorder.
The detailed design of the instrument was due to Stokes.
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Stokes’ Quarterly Journal Paper
Description of the Card Supporter for Sunshine Recordersadopted at the Meteorological Office
George Gabriel StokesQuarterly Journal of the Royal Meteorological Society, Vol. 6 (1880) 83–94.
“The method of recording sunshine by the burning of an object placed
in the focus of a glass sphere freely exposed to the rays of the sun,
which was devised by Mr. Campbell, commends itself by its simplicity,
and seems likely to come into pretty general use.”
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Stokes’ Quarterly Journal Paper
Description of the Card Supporter for Sunshine Recordersadopted at the Meteorological Office
George Gabriel StokesQuarterly Journal of the Royal Meteorological Society, Vol. 6 (1880) 83–94.
“The method of recording sunshine by the burning of an object placed
in the focus of a glass sphere freely exposed to the rays of the sun,
which was devised by Mr. Campbell, commends itself by its simplicity,
and seems likely to come into pretty general use.”
In the discussion following the reading of the paper, aMr. Mawley remarked:
“The fact of this sunshine-recorder being in all respects an English
invention, adds much to its interest.”
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Campbell-Stokes Sunshine Recorder.
One moving part!(In Biblical Coordinates)
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The Navier-Stokes EquationsNavier, C. L. M. H., 1822: Memoire sur les lois du mouvement des fluides.
Mem. Acad. Sci. Inst. France, Vol. 6, 389–440.
Stokes, G. G., 1845: On the theories of the internal friction of fluids in motion.
Trans. Cambridge Philos. Soc., Vol. 8.
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Navier-Stokes Equations
∂V
∂t+ V · ∇V +
1
ρ∇p = ν∇2V + g? .
The Navier-Stokes Equations describe how the change of
velocity, the acceleration of the fluid, is determined by thepressure gradient force, the gravitational force and the fric-tional force.
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Navier-Stokes Equations
∂V
∂t+ V · ∇V +
1
ρ∇p = ν∇2V + g? .
The Navier-Stokes Equations describe how the change of
velocity, the acceleration of the fluid, is determined by thepressure gradient force, the gravitational force and the fric-tional force.
For motion relative to the rotating earth, we must includethe Coriolis force:
∂V
∂t+ V · ∇V + 2Ω×V +
1
ρ∇p = ν∇2V + g .
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Equations of the AtmosphereGAS LAW (Boyle’s Law and Charles’ Law.)Relates the pressure, temperature and densityCONTINUITY EQUATIONConservation of mass; air neither created nor distroyedWATER CONTINUITY EQUATIONConservation of water (liquid, solid and gas)HYDROSTATIC LAWBalance between gravity and vertical pressure gradientEQUATIONS OF MOTION: Navier-Stokes EquationsDescribe how the change of velocity is determined by thepressure gradient, Coriolis force and friction
Six equations; Seven variables (u, v, w, ρ, p, T, q).
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Equations of the AtmosphereGAS LAW (Boyle’s Law and Charles’ Law.)Relates the pressure, temperature and densityCONTINUITY EQUATIONConservation of mass; air neither created nor distroyedWATER CONTINUITY EQUATIONConservation of water (liquid, solid and gas)HYDROSTATIC LAWBalance between gravity and vertical pressure gradientEQUATIONS OF MOTION: Navier-Stokes EquationsDescribe how the change of velocity is determined by thepressure gradient, Coriolis force and friction
Six equations; Seven variables (u, v, w, ρ, p, T, q).
THERMODYNAMIC EQUATIONDetermines changes of temperature due to heating or cool-ing, compression or rarifaction, etc.
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The Hairy Men of Thermo-D
It would appear from this sample that a fulsome beard may serve as a thermometer of proficiency in thermodynamics.
However, more exhaustive research is required before a definitive conclusion can be reached.
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Scientific Weather Forecasting in a Nut-Shell
• The atmosphere is a physical system
• Its behaviour is governed by the laws of physics
• These laws are expressed quantitatively in the form ofmathematical equations
• Using observations, we can specify the atmospheric stateat a given initial time: “Today’s Weather”
• Using the equations, we can calculate how this state willchange over time: “Tomorrow’s Weather”
• The equations are very complicated (non-linear) and apowerful computer is required to do the calculations
• The accuracy decreases as the range increases; there isan inherent limit of predictibility.
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Vilhelm Bjerknes (1862–1951)
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Vilhelm Bjerknes (1862–1951)
• Born March, 1862.• Matriculated in 1880.• Fritjøf Nansen was a fellow-student.• Paris, 1989–90. Studied under Poincare.• Bonn, 1890–92. Worked with Heinrich Hertz.• Stockholm, 1983–1907.
Vilhelm Bjerknes– 1898: Circulation theorems
– 1904: Meteorological Manifesto• Christiania (Oslo), 1907–1912.• Leipzig, 1913–1917.• Bergen, 1917–1926.
– 1919: Frontal Cyclone Model.• Oslo, 1926 — (retired 1937).
• Died, April 9,1951.
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Bjerknes’ 1904 ManifestoTo establish a science of meteorology, with the central aim ofpredicting future states of the atmosphere from the presentstate.“If it is true, as every scientist believes, that subsequent atmospheric
states develop from the preceeding ones according to physical law, then
it is apparent that the necessary and sufficient conditions for the rational
solution of forecasting problems are the following:
1. A sufficiently accurate knowledge of the state of the at-mosphere at the initial time
2. A sufficiently accurate knowledge of the laws accordingto which one state of the atmosphere develops from an-other.”
Step (1) is Diagnostic. Step (2) is Prognostic.
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x
Bjerknes ruled out analytical solution of the mathematicalequations, due to their nonlinearity and complexity:
“For the solution of the problem in this form, graphicalor mixed graphical and numerical methods are appropri-ate, which methods must be derived either from the partialdifferential equations or from the dynamical-physical prin-ciples which are the basis of these equations.”
However, there was a scientist more bold — or foolhardy— than Bjerknes, who actually tried to calculate futureweather. This was Lewis Fry Richardson
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Lewis Fry Richardson, 1881–1953.
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• Born, 11 October, 1881, Newcastle-upon-Tyne
• Family background: well-known quaker family
• 1900–1904: Kings College, Cambridge
• 1913–1916: Met. Office. Superintendent,Eskdalemuir Observatory
• Resigned from Met Office in May, 1916.Joined Friends’ Ambulance Unit.
• 1919: Re-employed by Met. Office
• 1920: M.O. linked to the Air Ministry.LFR Resigned, on grounds of concience
• 1922: Weather Prediction by Numerical Process
• 1926: Break with Meteorology.Worked on Psychometric Studies.Later on Mathematical causes of Warfare
• 1940: Resigned to pursue “peace studies”
• Died, September, 1953.
Richardson contributed to Meteorology, Numerical Analysis, Fractals,
Psychology and Conflict Resolution.36
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The Finite Difference SchemeThe globe is divided into cells, like the check-ers of a chess-board.Spatial derivatives are replaced by finite dif-ferences:
df
dx→ f (x + ∆x)− f (x−∆x)
2∆x.
Similarly for time derivatives:
dQ
dt→ Qn+1 −Qn−1
2∆t= Fn
This is immediately solved for Qn+1:
Qn+1 = Qn−1 + 2∆tFn .By repeating the calculations for many time steps, we canget a forecast of any length. Richardson calculated only theinitial rates of change.
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The Leipzig Charts for 0700 UTC, May 20, 1910
Bjerknes’ sea level pressureanalysis.
Bjerknes’ 500 hPa heightanalysis.
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Richardson’s Spread-sheet
Richardson’s Computing Form PXIIIThe figure in the bottom right corner is the forecast
change in surface pressure: 145 mb in six hours!
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Smooth Evolution of Pressurex
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Noisy Evolution of Pressurex
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Tendency of a Smooth Signalx
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Tendency of a Noisy Signalx
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Richardson’s Forecast Factory (A. Lannerback).Dagens Nyheter, Stockholm. Reproduced from L. Bengtsson, ECMWF, 1984
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Richardson’s Forecast Factory (A. Lannerback).Dagens Nyheter, Stockholm. Reproduced from L. Bengtsson, ECMWF, 1984
64,000 Computers: The first Massively Parallel Processor44
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Advances 1920–1950
Dynamic Meteorology
Rossby Waves
Quasi-geostrophic Theory
Baroclinic Instability
Numerical Analysis
CFL Criterion
Atmopsheric Observations
Radiosonde
Electronic Computing
ENIAC45
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x
The ENIAC
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Electronic Computer Project, 1946(under direction of John von Neumann)Von Neumann’s idea:Weather forecasting was, par excellence, a scientific problemsuitable for solution using a large computer.
The objective of the project was to study the problem ofpredicting the weather by simulating the dynamics of theatmosphere using a digital electronic computer.
A Proposal for funding listed three “possibilities”:
1. Entirely new methods of weather prediction by calcula-tion will have been made possible;
2. A new rational basis will have been secured for the plan-ning of physical measurements and field observations;
3. The first step towards influencing the weather by rationalhuman intervention will have been made.
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“Conference on Meteorology”A “Conference on Meteorology” was arranged in the Insti-tute for Advanced Studies (IAS), Princeton on 29–30 Au-gust, 1946.
Participants included:
• Carl Gustav Rossby
• Jule Charney
• George Platzman
• Norman Phillips
• Ragnar Fjørtoft
• Arnt Eliassen
• Joe Smagoinsky
• Phil Thompson
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Evolution of the Project:
• Plan A: Integrate the Primitive Navier-Stokes Equations
Problems similar to Richardson’s would arise
• Plan B: Integrate baroclinic Q-G System
Too computationally demanding
• Plan C: Solve barotropic vorticity equation
Very satisfactory initial results
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The ENIAC
The ENIAC (Electronic Nu-merical Integrator and Com-puter) was the first multi-purpose programmable elec-tronic digital computer.It had:
• 18,000 vacuum tubes
• 70,000 resistors
• 10,000 capacitors
• 6,000 switches
Power Consumption: 140 kWatts
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The ENIAC: Technical Details.ENIAC was a decimal machine. No high-level language.Assembly language. Fixed-point arithmetic: −1 < x < +1.10 registers, that is,Ten words of high-speed memory.Function Tables:624 6-digit words of “ROM”, set onten-pole rotary switches.“Peripheral Memory”:Punch-cards.Speed: FP multiply: 2ms(say, 500 Flops).Access to Function Tables: 1ms.Access to Punch-card equipment:You can imagine!
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Charney Fjørtoft von Neumann
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Charney, et al., Tellus, 1950.[Absolute
Vorticity
]=
[Relative
Vorticity
]+
[Planetary
Vorticity
]η = ζ + f .
The atmosphere is treated as a single layer, and the flow isassumed to be nondivergent. Absolute vorticity is conservedfollowing the flow.
d(ζ + f )
dt= 0.
This equation looks deceptively simple. But it is nonlinear:
∂ζ
∂t+ V · ∇(ζ + f ) = 0 .
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ENIAC Integrations, March, 1950Five meteorologists started work in Aberdeen, MA, andcontinued day and night for 33 days.
• Jule Charney
• Ragnar Fjørtoft
• John Freeman
• Joe Smagoinsky
• George Platzman
One operation, calculation of the Jacobian, involved thereading of three punch-cards followed by a pause. As thissequence was repeated and repeated, Platzman wrote thatthe meteorologists could “dance a jig” to the rhythm.
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Solution method for BPVE∂ζ
∂t= J(ψ, ζ + f )
1. Compute Jacobian
2. Step forward (Leapfrog scheme)
3. Solve Poisson equation for ψ (Fourier expansion)
4. Go to (1).
• Timestep : ∆t = 1 hour (2 and 3 hours also tried)
• Gridstep : ∆x = 750 km (approximately)
• Gridsize : 18 x 15 = 270 points
• Elapsed time for 24 hour forecast: About 24 hours.
Forecast involved punching about 25,000 cards. Most of theelapsed time was spent handling these.
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ENIAC Algorithm
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ENIAC: First Computer Forecast
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Richardson’s reaction
“Allow me to congratulate you and your collaborators onthe remarkable progress which has been made in Princeton.
“This, although not a great success of a popular sort, isanyway an enormous scientific advance on the single, andquite wrong, result in which Richardson (1922) ended.”
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NWP OperationsThe Joint Numerical Weather Prediction (JNWP) Unit wasestablished on July 1, 1954:
• Air Weather Service of US Air Force
• The US Weather Bureau
• The Naval Weather Service.
Operational numerical forecasting began on 15 May, 1955,using a three-level quasi-geostrophic model.
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x
Computer Forecasting Today
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Objective Analysis of Pressure
Analysis of 1000hPa height and 24hr precipitation.
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Prediction of Surface Conditions
Forecast of 1000hPa height and 24hr precipitation.
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Prediction of Surface Conditions
Forecast of 1000hPa height and 24hr precipitation.
This is an 812-day forecast!
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Objective Measure of Skill
Skill of 500 mb geopotential height. Forecast day whenAnomaly Correlation falls to 0.6
This is a measure of the useful forecast range.
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Objective Measure of Skill
Comparative skill of 500 mb forecasts.
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Objective Measure of Skill
Comparative skill of 500 mb forecasts.The six-day forecasts now are as good as the two-day
forecasts were in 1972.
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Conclusions
• Computer forecasts have improved dramatically since theENIAC integrations of 1950.
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Conclusions
• Computer forecasts have improved dramatically since theENIAC integrations of 1950.
• NWP is an indispensible source of guidance for forecast-ers in preparing subjective forecasts
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Conclusions
• Computer forecasts have improved dramatically since theENIAC integrations of 1950.
• NWP is an indispensible source of guidance for forecast-ers in preparing subjective forecasts
• Prospects are excellent for further increases in accuracyand scope of NWP
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Conclusions
• Computer forecasts have improved dramatically since theENIAC integrations of 1950.
• NWP is an indispensible source of guidance for forecast-ers in preparing subjective forecasts
• Prospects are excellent for further increases in accuracyand scope of NWP
• The mathematical equations developed byG G Stokes
of Skreen are crucial in modelling and predicting atmo-spheric flow, and are thus
the key to modern weather forecasting.
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The End
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