aoss 321, winter 2009 earth system dynamics lecture 5 1/22/2009
DESCRIPTION
AOSS 321, Winter 2009 Earth System Dynamics Lecture 5 1/22/2009. Christiane Jablonowski Eric Hetland [email protected] [email protected] 734-763-6238 734-615-3177. Class News. Class web site: https://ctools.umich.edu/portal HW 1 due today - PowerPoint PPT PresentationTRANSCRIPT
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AOSS 321, Winter 2009 Earth System Dynamics
Lecture 51/22/2009
Christiane Jablonowski Eric Hetland
[email protected] [email protected]
734-763-6238 734-615-3177
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Class News• Class web site:
https://ctools.umich.edu/portal• HW 1 due today• Homework #2 posted today, due on Thursday
(1/29) in class• Our current grader is Kevin Reed (
[email protected])• Office Hours
– Easiest: contact us after the lectures– Prof. Jablonowski, 1541B SRB: Tuesday after
class 12:30-1:30pm, Wednesday 4:30-5:30pm– Prof. Hetland, 2534 C.C. Little, TBA
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Today’s class
• Definition of the the Total (Material) Derivative• Lagrangian and Eulerian viewpoints• Advection• Fundamental forces in the atmosphere:
Surface forces:– Pressure gradient force– …
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Consider some parameter, like temperature, T
x
y
Δx
Δy
Total variations
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If we move a parcel in time Δt
+Δ∂∂
+Δ∂∂
+Δ∂∂
+Δ∂∂
=Δ zz
Ty
y
Tx
x
Tt
t
TT
Using Taylor series expansion
HigherOrderTerms
Assume increments over Δt are small, andignore Higher Order Terms
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Total derivative
€
ΔT =∂T
∂tΔt +
∂T
∂xΔx +
∂T
∂yΔy +
∂T
∂zΔz
Total differential/derivative of the temperature T,T depends on t, x, y, z
Assume increments over Δt are small
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Total Derivative
t
z
z
T
t
y
y
T
t
x
x
T
t
T
t
T
ΔΔ
∂∂
+ΔΔ
∂∂
+ΔΔ
∂∂
+∂∂
=ΔΔ
Divide by Δt
dt
dz
z
T
dt
dy
y
T
dt
dx
x
T
t
T
dt
dT
∂∂
+∂∂
+∂∂
+∂∂
=
Take limit for small Δt
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Total Derivative
€
DT
Dt=∂T
∂t+∂T
∂x
Dx
Dt+∂T
∂y
Dy
Dt+∂T
∂z
Dz
Dt
Introduction of convention of d( )/dt ≡ D( )/Dt
This is done for clarity.
By definition:
wDt
Dzv
Dt
Dyu
Dt
Dx=== ,,
u,v,w: these are the velocities
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Definition of the Total Derivative
€
DT
Dt=∂T
∂t+ u∂T
∂x+ v∂T
∂y+ w
∂T
∂z
The total derivative is alsocalled material derivative.
€
D()
Dtdescribes a ‘Lagrangian viewpoint’
€
∂()
∂t+ u∂()
∂x+ v∂()
∂y+ w
∂()
∂zdescribes an ‘Eulerian viewpoint’
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Lagrangian view
Consider fluid parcel moving along some trajectory.
Position vector at different times
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Lagrangian Point of View
• This parcel-trajectory point of view, which follows a parcel, is known as the Lagrangian point of view.– Useful for developing theory – Requires considering a coordinate system
for each parcel.– Very powerful for visualizing fluid motion
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• Trajectories trace the motion of individual fluid
parcels over a finite time interval• Volcanic eruption in 1991 injected particles into
the tropical stratosphere (at 15.13 N, 120.35 E)
• The particles got transported by the atmospheric
flow, we can follow their trajectories• Mt. Pinatubo, NASA animation• Colors in animation reflect the atmospheric height of
the particles. Red is high, blue closer to the surface.• This is a Lagrangian view of transport processes.
Lagrangian point of view: Eruption of Mount Pinatubo
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Global wind systems• General Circulation of the Atmosphere
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• Zonal-mean annual-mean zonal wind
Zonally averaged circulationP
ress
ure
(hP
a) €
u
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Now we are going to really think about fluids.
Could sit in one place and watch parcels go by.
Eulerian view
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How would we quantify this?
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Eulerian Point of View
• This point of view, where is observer sits at a point and watches the fluid go by, is known as the Eulerian point of view.– Useful for developing theory– Looks at the fluid as a field.– Requires considering only one coordinate system
for all parcels– Easy to represent interactions of parcels through
surface forces– A value for each point in the field – no gaps or
bundles of “information.”
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An Eulerian Map
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Consider some parameter, like temperature, T
x
y
≡Dt
DTMaterial derivative, T change following the parcel
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Consider some parameter, like temperature, T
x
y
≡∂∂
t
TLocal T change at a fixed point
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Consider some parameter, like temperature, T
x
y
€
−v • ∇T ≡ Advection
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Temperature advection term
€
−v • ∇T = −u∂T
∂x− v
∂T
∂y− w
∂T
∂z
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Consider some parameter, like temperature, T
y
Tv∂∂
−x
yx
Tu∂∂
−
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Temperature advection term
€
−v • ∇T > 0 : warm air advection
−v • ∇T < 0 : cold air advection
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Advection of cold or warm air• Temperature advection: • Imagine the isotherms are oriented in the E-W direction
• Draw the horizontal temperature gradient vector! • pure west wind u > 0, v=0, w=0: Is there temperature
advection? If yes, is it cold or warm air advection?
€
− r
v • ∇T
cold
warm
u
Xy
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Advection of cold or warm air• Temperature advection: • Imagine the isotherms are oriented in the E-W direction
• Draw the gradient of the temperature (vector)! • pure south wind v > 0, u=0, w=0: Is there temperature
advection? If yes, is it cold or warm air advection?
€
− r
v • ∇T
cold
warm
v
X
y
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Advection of cold or warm air• Temperature advection: • Imagine the isotherms are oriented as
• Draw the horizontal temperature gradient! • pure west wind u > 0, v=0, w=0: Is there temperature
advection? If yes, is it cold or warm air advection?
€
− r
v • ∇T
cold
warm
u
X
y
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Summary:Local Changes & Material Derivative
€
∂T
∂t=
DT
Dt− u
∂T
∂x− v
∂T
∂y− w
∂T
∂z
∂T
∂t =
DT
Dt − v • ∇T
Local changeat a fixed location
Total change alonga trajectory
Advection term
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Summary: For 2D horizontal flows
€
∂T
∂t=
DT
Dt− u
∂T
∂x− v
∂T
∂y
∂T
∂t=
DT
Dt−
r v h • ∇ hT
with horizontal wind vector and
horizontal gradient operator
€
∇h =
∂
∂x∂
∂y
⎛
⎝
⎜ ⎜ ⎜
⎞
⎠
⎟ ⎟ ⎟
€
rv h =
u
v
⎛
⎝ ⎜
⎞
⎠ ⎟
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Conservation and Steady-State
€
if DT
Dt= 0⇒ Conservation of T
if ∂T
∂t= 0⇒ Steady − state is reached
Remember: we talked about the conservation of moneyConservation principle is important fortracers in the atmosphere that do not have sources and sinks
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Class exercise• The surface pressure decreases by 3 hPa per
180 km in the eastward direction.• A ship steaming eastward at 10 km/h measures
a pressure fall of 1 hPa per 3 hours.• What is the pressure change on an island that
the ship is passing?
W
S
N
E
NE
SW
NW
SE
Directions:
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Food for thought• Imagine a different situation.• The surface pressure decreases by 3 hPa per
180 km in the north-east direction.
• Thus:
High p
Low p
u
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What are the fundamental forces in the Earth’s system?
• Pressure gradient force• Gravitational force• Viscous force• Apparent forces: Centrifugal and Coriolis• Can you think of other classical forces and
would they be important in the Earth’s system?
• Total Force is the sum of all of these forces.
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A particle of atmosphere
Δx
Δy
Δz
≡ density = mass per unit volume (ΔV)
ΔV = ΔxΔyΔz
m = ΔxΔyΔz--------------------------------- p ≡ pressure = force per unit area acting on the particle of atmosphere
http://www.atmos.washington.edu/2005Q1/101/CD/MAIN3.swfCheck out Unit 6, frames 7-13:
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Pressure gradient force (1)
Δx
Δy
Δz
p0 = pressure at (x0, y0, z0)
.
(x0, y0, z0)
x axis
Pressure at the ‘wall’:
Remember the Taylorseries expansion!
p0
€
p = p0 +∂p
∂x
Δx
2+
higher order terms
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Pressure at the ‘walls’
Δx
Δy
Δz.
x axis
€
p = p0 −∂p
∂x
Δx
2+
higher order terms
€
p = p0 +∂p
∂x
Δx
2+
higher order terms
p0
€
remember : p =F
A
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Pressure gradient force (3)(ignore higher order terms)
Δx
ΔyΔz
.
x axis
A
BArea of side B:ΔyΔz
Area of side A:ΔyΔz
Watch out for the + and - directions!
€
FBx = p0 −∂p
∂x
Δx
2
⎛
⎝ ⎜
⎞
⎠ ⎟ΔyΔz
€
FAx = − p0 +∂p
∂x
Δx
2
⎛
⎝ ⎜
⎞
⎠ ⎟ΔyΔz
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Pressure gradient force (4):Total x force
We want force per unit mass
€
Fx = FBx + FAx
= p0 −∂p
∂x
Δx
2
⎛
⎝ ⎜
⎞
⎠ ⎟ΔyΔz − p0 +
∂p
∂x
Δx
2
⎛
⎝ ⎜
⎞
⎠ ⎟ΔyΔz
= −∂p
∂xΔxΔyΔz
€
Fx
m= −
∂p
∂xΔxΔyΔz
⎛
⎝ ⎜
⎞
⎠ ⎟ ρΔxΔyΔz( )
= −1
ρ
∂p
∂x
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Vector pressure gradient force
pm
z
p
y
p
x
pm
∇−=
∂∂
+∂∂
+∂∂
−=
1/
)(1
/
F
kjiF
xy
z
ij
k
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Class exerciseCompute the pressure gradient force at sea level in x and y direction at 60°N
1000 hPa
Isobars with contour interval Δp = 5 hPa
L
Low pressure system at 60°N
Assume constantdensity = 1.2 kg/m3
and radius a = 6371 km
Δ = 20º = /9Δx = a cos Δ
Δ = 20º = /9Δy = a Δ
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Class exercise
Compute the pressure gradient forceat the surface 1008
1008
1041
1034
1000
1000
NCAR forecasts
990
Contourinterval:4 hPa
1016
1012
Density?
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Our momentum equation so far
€
dr v
dt= −
1
ρ∇p+ other forces
Here, we use the text’s convention that the velocity is
€
rv = u,v,w( )
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Highs and Lows
Pressure gradient force tries to eliminate the pressure differences