simulating adiabatic parcel rise

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Simulating Adiabatic Parcel Rise Presentation by Anna Merrifield, Sarah Shackleton and Jeff Sussman

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Simulating Adiabatic Parcel Rise. Presentation by Anna Merrifield, Sarah Shackleton and Jeff Sussman. Buoyancy Force. Relationship of parcel density to atmospheric density At a given pressure, density is determined by Temperature. Buoyancy Force. - PowerPoint PPT Presentation

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Page 1: Simulating Adiabatic Parcel Rise

Simulating Adiabatic Parcel Rise

Presentation by Anna Merrifield, Sarah Shackleton and Jeff Sussman

Page 2: Simulating Adiabatic Parcel Rise

Buoyancy ForceRelationship of parcel density to atmospheric

densityAt a given pressure, density is determined by

Temperature

Page 3: Simulating Adiabatic Parcel Rise

Buoyancy ForceIf the parcel is less dense (warmer) than the

atmosphere it will rise adiabatically and coolT’ > Tenv

If parcel is more dense (cooler) than the environment it will sink adiabatically and warmT’ < Tenv

Page 4: Simulating Adiabatic Parcel Rise

Real World Examples of Parcel RiseCloud formation

If the environment is stable, clouds that form will be shallow (stratus clouds)

In an unstable environment, vertical motion occurs, cumulus and cumulonimbus form

Thunderstorms/TornadoesWith enough parcel rise, thunderstorms can form

Page 5: Simulating Adiabatic Parcel Rise
Page 6: Simulating Adiabatic Parcel Rise

CAPEConvective available potential energy

Amount of potential energy available for parcel rise Important for thunderstorm growth/formation

Page 7: Simulating Adiabatic Parcel Rise

Parcel Method1. The parcel does not mix with the surrounding

environment2. The parcel does not disturb its environment3. The pressure of the parcel adjusts

instantaneously to its environment4. The parcel moves isentropically

Page 8: Simulating Adiabatic Parcel Rise

The Model1. Obtain the data from Figure 7.2 using DataThief2. Determine Z(P,T) 3. Model Parcel Temperature assuming:

1. Dry adiabatic rise to LCL2. Saturated adiabatic rise to LNB3. “Moist” adiabatic rise above the LNB

4. Model Parcel Temperature assuming:1. Dry adiabatic rise to LCL2. Saturated adiabatic rise while entraining dry air to LNB3. “Moist” adiabatic rise above the LNB

5. Sensitivity analysis: find lapse rates that reproduce the model

Page 9: Simulating Adiabatic Parcel Rise

1. Obtaining the DataThe plot lines were redrawn in

color to allow for effective tracing. Markers indicate the

axes and the beginning, color, and end of the line we want to

trace.

After the line is traced, the program picks points on the line and the data can be output and

read into Matlab.

Page 10: Simulating Adiabatic Parcel Rise

1. Problems with DataThiefSolution: Rather than throwing out points (they aren’t “bad”, we

determined Z using a linear least-squares fit to 3 regions of constant lapse rate

Page 11: Simulating Adiabatic Parcel Rise

2. Determining Z(P,T)

Regions of ~Constant Lapse

Rate

Γ = 6.5 K/Km

Γ = .64 K/Km

Γ = 3.6 K/Km

Page 12: Simulating Adiabatic Parcel Rise

2. Determining Z(P,T)

Page 13: Simulating Adiabatic Parcel Rise

Dry & Saturated Adiabatic Lapse RatesDry lapse rate: assumptions – ideal gas,

atmosphere is in hydrostatic equilibrium, no water vapor

Saturated lapse rate: assumptions – no loss of

water through precipitation, only liquid and vapor phases, system at chemical equilibrium, and heat capacities of liquid and water vapor are negligible, parcel has reached 100% relative humidity

Page 14: Simulating Adiabatic Parcel Rise

Modeling Saturated Adiabatic Rise

1. Initialize esat(1), Tparcel (1)

Page 15: Simulating Adiabatic Parcel Rise

3. Model Parcel Temperature (No Entrainment)

Γ to LCL

9.8 K/Km

Γ at LCL 5 K/Km

Γ at LNB 7.5 K/Km

Γ above LNB

3 K/Km

LCL

LNB

Page 16: Simulating Adiabatic Parcel Rise

The Second ModelEntrainment: The mixing of the rising air parcel

with the surrounding environmentEntrainment rate: 1/m dm/dzAssumptions: entrainment of dry air, constant

entrainment rate, isotropic entrainment

Page 17: Simulating Adiabatic Parcel Rise

4. Model Parcel Temperature (Entrainment)

λ(1/m)

Γm at LCL

(K/Km)

Γm at LNB

(K/Km

)

5*10-10

5.0 7.5

5*10-5 5.4 7.4

1*10-4 5.7 7.2

5*10-4 8.6 4.8

Page 18: Simulating Adiabatic Parcel Rise

DiscussionLack of CAPE in all modelsLimitations of the simplified model

Parcel movement adiabatic and reversible (no precipitation)

Entrainment of dry airSounding given as lnP versus T, not given with

altitude which then needed to be derived using assumption of constant lapse rate atmosphere in three regions

DataThief does not give monotonically increasing data points

Page 19: Simulating Adiabatic Parcel Rise

5. Reproduction of Figure 7.2

Γ to LCL

9.8 K/Km

Γ at LCL 2 K/Km

Γ at LNB 6.5 K/Km

Γ above LNB

3 K/Km

LCL

LNB

Page 20: Simulating Adiabatic Parcel Rise

Summary of Lapse RatesEnvironment

NoEntrainment

λ = 5*10^-10 1/m

λ = 5*10^-5 1/m

λ = 1*10^-4 1/m

λ = 5*10^-4 1/m

Best

Reproduction

Approximate Parc

elΓ to LCL

6.5 9.8 9.8 9.8 9.8 9.8 9.8 10.9

Γ at LCL 6.5 5.0 5.0 5.4 5.7 8.6 2.0 3.1

Γ at LNB 0.64 7.5 7.5 7.4 7.2 4.8 6.5 6.1

Γ above LNB

0.64 3.0 3.0 3.0 3.0 3.0 3.0 3.1

Page 21: Simulating Adiabatic Parcel Rise

Example sounding

Page 22: Simulating Adiabatic Parcel Rise

CAPE example with entrainment

Image from NWS from Amarillo, TX, July 22,2013

Page 23: Simulating Adiabatic Parcel Rise

Conclusions and Further WorkFailure to reproduce plot using simplified

governing assumptions of adiabatic parcel riseFurther work using soundings from a database

http://weather.uwyo.edu/upperair/sounding.html