ATMO 551a Fall 08. Equivalent Potential Temperature

Similar documents
1. Water Vapor in Air

Thermodynamics Review [?] Entropy & thermodynamic potentials Hydrostatic equilibrium & buoyancy Stability [dry & moist adiabatic]

ATMO 551a Moist Adiabat Fall Change in internal energy: ΔU

Temperature and Thermodynamics, Part II. Topics to be Covered

Radiative equilibrium Some thermodynamics review Radiative-convective equilibrium. Goal: Develop a 1D description of the [tropical] atmosphere

39th International Physics Olympiad - Hanoi - Vietnam Theoretical Problem No. 3 / Solution. Solution

GEF2200 Atmosfærefysikk 2012

Project 3 Convection and Atmospheric Thermodynamics

GEF2200 atmospheric physics 2018

Exam 1 (Chaps. 1-6 of the notes)

Lecture Ch. 6. Condensed (Liquid) Water. Cloud in a Jar Demonstration. How does saturation occur? Saturation of Moist Air. Saturation of Moist Air

ATMO/OPTI 656b Spring 09. Physical properties of the atmosphere

Today s Lecture: Atmosphere finish primitive equations, mostly thermodynamics

Parcel Model. Meteorology September 3, 2008

Thermodynamics We Can See! Adapted from ATS 541 notes (Dr. Susan van den Heever)

Outline. Aim. Gas law. Pressure. Scale height Mixing Column density. Temperature Lapse rate Stability. Condensation Humidity.

First Law of Thermodynamics

Clouds and turbulent moist convection

Chapter 5. Atmospheric Moisture

Chapter 5 - Atmospheric Moisture

P sat = A exp [B( 1/ /T)] B= 5308K. A=6.11 mbar=vapor press. 0C.

Thermodynamic Energy Equation

Synoptic Meteorology I: Skew-T Diagrams and Thermodynamic Properties

Global Energy Balance: Greenhouse Effect

Atsc final Equations: page 1/6

Lecture 3: Convective Heat Transfer I

1. Static Stability. (ρ V ) d2 z (1) d 2 z. = g (2) = g (3) T T = g T (4)

Simplified Microphysics. condensation evaporation. evaporation

Chapter 4 Water Vapor

Introduction. Lecture 6: Water in Atmosphere. How Much Heat Is Brought Upward By Water Vapor?

(Assignment continues on next page) 1

Parcel Model. Atmospheric Sciences September 30, 2012

Q. Deng a, NYU Abu Dhabi G. Hernandez-Duenas b, UNAM A. Majda, Courant S. Stechmann, UW-Madison L.M. Smith, UW-Madison

Orographic Precipitation II: Effects of Phase Change on Orographic Flow. Richard Rotunno. National Center for Atmospheric Research, USA

ATMO 551a Fall The Carnot Cycle

Introduction to Skew-T Diagrams

References: Parcel Theory. Vertical Force Balance. ESCI Cloud Physics and Precipitation Processes Lesson 3 - Stability and Buoyancy Dr.

Monday 7 October 2013, Class #15

Meteorology 6150 Cloud System Modeling

1. The vertical structure of the atmosphere. Temperature profile.

The Tropical Atmosphere: Hurricane Incubator

Radiative Transfer Chapter 3, Hartmann

General Concepts of Atmospheric Thermodynamic Atmospheric Thermodynamic Theory

Boundary layer equilibrium [2005] over tropical oceans

Diabatic Processes. Diabatic processes are non-adiabatic processes such as. entrainment and mixing. radiative heating or cooling

Thermodynamics of Cloud Formation

Clouds and atmospheric convection

df dz = dp dt Essentially, this is just a statement of the first law in one of the forms we derived earlier (expressed here in W m 3 ) dq p dt dp

p = ρrt p = ρr d = T( q v ) dp dz = ρg

Lecture 07 February 10, 2010 Water in the Atmosphere: Part 1

ATMO/OPTI 656b Spring 08. Physical Properties of the Atmosphere

Isentropic Analysis. Much of this presentation is due to Jim Moore, SLU

Temperature profile of the Troposphere

Quasi-equilibrium transitions

Liquid water static energy page 1/8

Hurricanes are intense vortical (rotational) storms that develop over the tropical oceans in regions of very warm surface water.

A B C D PROBLEMS Dilution of power plant plumes. z z z z

1. Read the section on stability in Wallace and Hobbs. W&H 3.53

4. Atmospheric transport. Daniel J. Jacob, Atmospheric Chemistry, Harvard University, Spring 2017

5 Atmospheric Stability

Radiative-Convective Models. The Hydrological Cycle Hadley Circulation. Manabe and Strickler (1964) Course Notes chapter 5.1

2σ e s (r,t) = e s (T)exp( rr v ρ l T ) = exp( ) 2σ R v ρ l Tln(e/e s (T)) e s (f H2 O,r,T) = f H2 O

Atmospheric Sciences 321. Science of Climate. Lecture 13: Surface Energy Balance Chapter 4

Moist Convection. Chapter 6

ATMOSPHERIC THERMODYNAMICS

Lecture 7. Science A-30 February 21, 2008 Air may be forced to move up or down in the atmosphere by mechanical forces (wind blowing over an obstacle,

I. Convective Available Potential Energy (CAPE)

Atmospheric Thermodynamics

Lecture 10: Climate Sensitivity and Feedback

Atmospheric Dynamics: lecture 3

Atmospheric Basics Atmospheric Composition

Buoyancy and Coriolis forces

I. Convective Available Potential Energy (CAPE)

Atmospheric Dynamics: lecture 2

EAS270, The Atmosphere Mid-term Exam 28 Oct. 2011

2.1 Effects of a cumulus ensemble upon the large scale temperature and moisture fields by induced subsidence and detrainment

Numerical Example An air parcel with mass of 1 kg rises adiabatically from sea level to an altitude of 3 km. What is its temperature change?

Dynamic Meteorology: lecture 2

LAB 3: Atmospheric Pressure & Moisture

Temperature. Vertical Thermal Structure. Earth s Climate System. Lecture 1: Introduction to the Climate System

The Atmosphere EVPP 110 Lecture Fall 2003 Dr. Largen

INTRODUCTION TO METEOROLOGY PART ONE SC 213 MAY 21, 2014 JOHN BUSH

Lecture 3: Convection

1 Thermodynamics: some Preliminaries

Final Examination. Part A Answer ONLY TWELVE QUESTIONS in Part A. (Each question is 3 points)

ATMO551a Fall Vertical Structure of Earth s Atmosphere

Atmospheric Physics. August 10, 2017

Monteverdi Metr 201 Quiz #4 100 pts.

The Water Cycle. Water in the Atmosphere AOSC 200 Tim Canty. Class Web Site:

Chapter 7. Water and Atmospheric Moisture. Water on Earth Unique Properties of Water Humidity Atmospheric Stability Clouds and Fog

ATS 421/521. Climate Modeling. Spring 2015

Water in the Atmosphere Understanding Weather and Climate

Chapter 6. Cloud Development and Forms

ρ x + fv f 'w + F x ρ y fu + F y Fundamental Equation in z coordinate p = ρrt or pα = RT Du uv tanφ Dv Dt + u2 tanφ + vw a a = 1 p Dw Dt u2 + v 2

A new theory for moist convection in statistical equilibrium

Answers to Clicker Questions

Moisture, Clouds, and Precipitation Earth Science, 13e Chapter 17

2. Meridional atmospheric structure; heat and water transport. Recall that the most primitive equilibrium climate model can be written

where p oo is a reference level constant pressure (often 10 5 Pa). Since θ is conserved for adiabatic motions, a prognostic temperature equation is:

AT351 Lab Seven Skew-T Stability Analysis

Transcription:

Equivalent Potential emperature he equivalent potential temperature, θ e, is the potential temperature that would result if all of the water in the air parcel were condensed and rained out by raising the air upwards and then lowering the air parcel to the surface dry adiabatically. he θ e, of an air parcel would be conserved if the condensed water did not rain out but instead stayed with the air parcel. he equivalent potential temperature is the temperature a parcel at a specific pressure level and temperature would have if it were raised to 0 mb, condensing all moisture from the parcel, and then lowered to 1000 mb. (from www.srh.noaa.gov/ffc/html/gloss1.shtml ) I disagree with the 0 mb part of this definition. he air needs to be lifted up high enough and cold enough that virtually all of the water in the air condenses out which means a temperature of 200 K or so. Using a skew- plot we can illustrate the concept graphically. Notice that θ e is conserved for reversible moist adiabatic processes, that is processes where the condensed water does not fall out of the air parcel. 1 Kursinski 10/28/08

Energy transfer from latent heat to sensible heat Heating up the air by condensing out the water vapor yields a temperature increase defined by the following energy balance equation L v " = C H 2 O ( p#dry" dry + C H 2 O#liq" H 2 O)$ = " dry ( #dry + C r H 2 O#liq )$ (1) Note that this equation assumes all of the water vapor in the air parcel has condensed out. he temperature increase due to latent heat conversion to sensible heat when the water condenses is therefore " = # H 2 O L v # dry $dry + C r H 2 O$liq = L v r ( $dry + C r H 2 O$liq ) Notice that the heat capacity used here is a combination of the heat capacity of dry air and condensed water. his is because in equilibrium following the release of latent heat, the air and the condensed water will be at the same temperature. Because r is small, the following approximation is often made: (2) " # L v $dry r (3) Note that this approximation systematically overestimates Δ fractionally by " # # = #'$# = # L v r ( $dry ) $ L v r $dry + C r H 2 O$liq L v r ( $dry + C H 2 O$liqr) " # ( $dry ) # = $dry + C H 2O$liqr ( $dry ) = $dry + C H 2 O$liq r If r =1%, the fractional error in the latent heat temperature is 4%. $ C + C r p$dry H 2 O$liq $dry + C r H 2 O$liq $1= C H 2 O$liq $dry r % 4r (4) Simple Equation for θ e. he simplest (and least accurate) equation for θ e is derived as follows. We simply plug the temperature increase associated with condensation into the potential temperature equation to yield an equation for the equivalent potential temperature R # " = P & C 0 p % ( (5) $ P ' # p " e = 0 & e % ( $ p ' R d R d # ) + L &# v % r $ C ( p & 0 % ( (6) p ' $ p ' 2 Kursinski 10/28/08

P 0 is a reference pressure usually taken to be 1000 mb. he problem with this approximate equation is that it assumes all of the water vapor is condensed out and converted to sensible heat at the present pressure of the air parcel. his is incorrect because the water condenses out as the air parcel is lifted into the uppermost troposphere where the pressure is lower such that the adiabatic compression when the air is brought to the surface will be larger. So we can anticipate this equation will systematically underestimate θ e. Better Equation for θ e. Wallace and Hobbs give the following derivation. he ideal gas law is P = ρr so Pα = R where α is specific volume = 1/ρ. One of the many forms that we can write the 1 st law of thermodynamics is From the ideal gas law, d(pα) = R d, so dq = C v d + d P" #"dp (7) dq = C v d + Rd "#dp = d "#dp (8) herefore dq = C d p " # dp = C d p " R dp P he potential temperature is defined as in (5) such that (9) he derivative is Plugging (9) into (11) yields ln" = ln + R " = C d p # R dp P " = dq ( ln P 0 # lnp) (10) he next step is to convert the latent heat associated with condensation into raising the air parcel temperature. (11) (12) dq s = "L v dw s = "L v dr s (13) where w s = r s = ρ vs /ρ d is the saturation (mass) mixing ratio and ρ vs and ρ d are the densities of the water vapor at saturation and dry air. (I am not sure why W&H use w s rather than r s ). Notice that this heat input is the latent heat input per mass of dry air. Combining this with the previous equation yields " = # L vdw s 3 Kursinski 10/28/08

" = # L dw v s (14) he next trick is the following approximation So given this approximation, L v dw s " d # L w & v s % $ ( (15) ' " = dln" = # L dw v s $ #d % L w ( v s ' & * (16) ) 2 " L vw s 1 # ( 2 ) = ln# # 1 (17) " L v( 2 )w s 2 2 + L v( 1 )w s ( 1 ) = ln# ( 2 2 ) " ln# ( 1 ) (18) 1 1 he question now is what to choose as the constant. We know that at the extremely low w s which occurs in very cold air in the high altitudes where there is virtually no water left to condense out, θ e = θ. We use this limit to do the following L v ( 1 )w s 1 1 = ln" e ( 2 ) # ln" ( 1 ) (19) 1 where 2 represents the temperature of the air parcel after it has been lifted into the upper troposphere which is sufficiently cold to set the w s ( 2 ) ~0. # " e = " exp L & vw s % $ ( (20) ' his expression is actually quite accurate despite the approximation made in getting (15). 4 Kursinski 10/28/08

We can evaluate the accuracy of the two equations for potential temperature using the moist adiabat spreadsheet we generated earlier. he blue line in the figure is the potential temperature along a moist adiabat from the spreadsheet he green line with the x s is the simpler θ e equation, (6). he red dashed line is the estimate of θ e from equation (20). he light green line with the + is the Moist Static Energy (MSE) (defined below) divided by the heat capacity of the air to create a temperature-like variable to plot here. In the example in the figure, (6) yields an estimate at the surface that is 6.5 K lower than the actual θ e at the top of the moist adiabat in the upper troposphere. (20) yields an estimate of θ e near the surface that is ~2 K too low. So the θ e estimate from (20) is a pretty good and is better at higher altitudes. MSE is very close to constant along the moist adiabat and therefore conserved varying by only 0.26K over the 0 to 14 km interval. 5 Kursinski 10/28/08

Using the skew- plot above we can illustrate the concept graphically. For a more detailed definition of θ e see http://amsglossary.allenpress.com/glossary/search?id=equivalent-potential-temperatur1 I think there is a typo in this equation (the H doesn t make sense) but the Kerry Emanuel text referenced that has the correct definition. his definition carefully considers the heat capacity with is more complicated than just the dry air heat capacity. Stability One key area of relevance of θ e is in terms of stability. Stability is defined analogous to potential temperature "# e "z > 0 stable "# e "z < 0 unstable 6 Kursinski 10/28/08

assuming that water condenses out. his dependence on whether or not the water condenses out is known as conditional stability, that is the stability is conditional on whether or not the water in the air condenses out. Note that to be applicable, the air must reach saturation. So θ e is really relevant at cloud base and above. Lifting Condensation Level (LCL) = cloud base. As discussed, the easiest way to estimate for a well mixed boundary layer is simply z LCL = " # % $ ( " d ) d dz dry"adia " d d dz mixed ) " & ( ' " d "9.8 " "1.7 ) " d 8 (in km) 7 Kursinski 10/28/08

We see from the figure from Peixoto and Oort that "# e "z troposphere. < 0 through much of the lower θ e at low altitudes determines how high into the troposphere a parcel of air lifted from the lower troposphere can rise moist adiabatically assuming no mixing on the way up. As the figure below from Pexioto and Oort shows, the dθ e /dz in the upper troposphere is typically 2 to 3 K/km. herefore the 6.5 K error in the simple θ e equation example given above would translate to underestimating the height to which an air parcel could rise to by ~3 km. So the systematic inaccuracy of equation (6) really makes it unusable in this context. Vertical coordinates: P, z and θ. When using height as the vertical coordinate instead of pressure, there are variables that are analogous to θ and θ e. Dry Static energy DSE = + Φ DSE is the equivalent of potential temperature when altitude rather than pressure is used as the vertical coordinate. DSE is conserved for dry adiabatic processes. Proof: ake the vertical derivative of DSE and set it to 0. he result will be the dry adiabatic lapse rate showing DSE does not change vertically under dry adiabatic processes. Moist static energy: MSE = + Φ + L v q MSE is the equivalent of equivalent potential temperature when altitude rather than pressure is used as the vertical coordinate. MSE is conserved for reversible moist adiabatic processes. θ as a vertical coordinate θ is very effective as a vertical coordinate in stable regions. his is because in the absence of diabatic heating and cooling, θ is conserved. So air parcels moving around relatively quickly move on surfaces of constant θ. his allows one to better see how air moves around. Models do use θ as a vertical coordinate in the stratosphere where the air is quite stable. In the troposphere it is tricky because of the boundary layer where dθ /dz can often be 0 such that θ no longer increases monotonically with altitude. 8 Kursinski 10/28/08