Rogers and Yau Chapter 10: Drop breakup, snow, precip rate, and bulk models

Similar documents
π (r 1 + r 2 ) 2 πr 2 1 v T1 v T2 v T1

Terminal velocity. 1. The collision cross-sectional area is. π (r 1 + r 2 ) 2 πr The relative collection velocity is.

4/25/18. Precipitation and Radar GEF4310 Cloud Physics. Schedule, Spring Global precipitation patterns

Precipitation Processes METR σ is the surface tension, ρ l is the water density, R v is the Gas constant for water vapor, T is the air

Rogers and Yau Chapter 12: Precipitation Processes (emphasizing stratiform rain convection and severe storms will be next lecture)

1. Droplet Growth by Condensation

Kessler warm rain microphysics scheme. Haifan Yan

2 D. Terminal velocity can be solved for by equating Fd and Fg Fg = 1/6πd 3 g ρ LIQ = 1/8 Cd π d 2 ρ air u

Exam 2: Cloud Physics April 16, 2008 Physical Meteorology Questions 1-10 are worth 5 points each. Questions are worth 10 points each.

Initiation of rain in nonfreezing clouds

Clouds associated with cold and warm fronts. Whiteman (2000)

The Purdue Lin Microphysics Scheme in WRF. Russ Schumacher AT 730 Final Project 26 April 2006

ESCI Cloud Physics and Precipitation Processes Lesson 9 - Precipitation Dr. DeCaria

Rain rate. If the drop size distribu0on is n(d), and fall speeds v(d), net ver0cal flux of drops (m - 2 s - 1 )

Precipitation Processes

Modeling of cloud microphysics: from simple concepts to sophisticated parameterizations. Part I: warm-rain microphysics

Warm Cloud Processes. Some definitions. Two ways to make big drops: Effects of cloud condensation nuclei

Warm Rain Precipitation Processes

CHAPTER V ALTITUDINAL AND TEMPORAL VARIATION OF RAIN DROP SIZE DISTRIBUTION DURING A RAIN SPELL

Chapter 7 Precipitation Processes

Growth of raindrops. Do raindrops looks like tear drops?

Solutions to questions from chapter 11 in GEF Cloud Physics

PRECIPITATION PROCESSES

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

Precipitations. Terminal Velocity. Chapter 7: Precipitation Processes. Growth of Cloud Droplet Forms of Precipitations Cloud Seeding

Chapter 7: Precipitation Processes. ESS5 Prof. Jin-Yi Yu

PALM - Cloud Physics. Contents. PALM group. last update: Monday 21 st September, 2015

Diagnosing the Intercept Parameter for Exponential Raindrop Size Distribution Based on Video Disdrometer Observations: Model Development

Summary of riming onset conditions for different crystal habits. Semi-dimension: width / lateral dimension (perpendicular to c-axis)

Solutions to questions from chapter 9 in GEF Cloud Physics

On the Influence of Assumed Drop Size Distribution Form on Radar-Retrieved Thunderstorm Microphysics

Effect of Turbulent Enhancemnt of Collision-coalescence on Warm Rain Formation in Maritime Shallow Convection

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

Multi-Scale Modeling of Turbulence and Microphysics in Clouds. Steven K. Krueger University of Utah

Precipitation. GEOG/ENST 2331 Lecture 12 Ahrens: Chapter 7

Parametrizing cloud and precipitation in today s NWP and climate models. Richard Forbes

In this chapter we explain the processes by which nonprecipitating cloud droplets and ice crystals grow large enough to fall as precipitation

Clouds on Mars Cloud Classification

Precipitation Processes. Precipitation Processes 2/24/11. Two Mechanisms that produce raindrops:

Disdrometric data analysis and related microphysical processes

Step 1. Step 2. g l = g v. dg = 0 We have shown that over a plane surface of water. g v g l = ρ v R v T ln e/e sat. this can be rewritten

A Novel Approach for Simulating Droplet Microphysics in Turbulent Clouds

1. describe the two methods by which cloud droplets can grow to produce precipitation (pp );

Precipitation Formation, and RADAR Equation by Dario B. Giaiotti and Fulvio Stel (1)

Parcel Model. Atmospheric Sciences September 30, 2012

Trade wind inversion. is a highly stable layer (~2 km high) that caps the moist surface layer (often cloudy) from the dry atmosphere above.

ROBUSTNESS ANALYSIS OF ATMOSPHERIC AEROSOL REMOVAL BY PRECIPITATION

Comparison of collision velocity differences of drops and graupel particles in a very turbulent cloud

Role of atmospheric aerosol concentration on deep convective precipitation: Cloud-resolving model simulations

16.4 SENSITIVITY OF TORNADOGENESIS IN VERY-HIGH RESOLUTION NUMERICAL SIMULATIONS TO VARIATIONS IN MODEL MICROPHYSICAL PARAMETERS

VII : NON-CONVECTIVE PRECIPITATION

Diagnosing the Intercept Parameter for Exponential Raindrop Size Distribution Based on Video Disdrometer Observations: Model Development

A FROZEN DROP PRECIPITATION MECHANISM OVER AN OPEN OCEAN AND ITS EFFECT ON RAIN, CLOUD PATTERN, AND HEATING

Diffusional and accretional growth of water drops in a rising adiabatic parcel: effects of the turbulent collision kernel

Introduction. Effect of aerosols on precipitation: - challenging problem - no agreement between the results (quantitative and qualitative)

Ch. 6 Cloud/precipitation Formation and Process: Reading: Text, ch , p

Introduction to Cloud Microphysics

Collision and Coalescence 3/3/2010. ATS 351 Lab 7 Precipitation. Droplet Growth by Collision and Coalescence. March 7, 2006

Chapter 8 - Precipitation. Rain Drops, Cloud Droplets, and CCN

Precipitation AOSC 200 Tim Canty. Cloud Development: Orographic Lifting

The Clausius-Clapeyron and the Kelvin Equations

Analysis of Cloud-Radiation Interactions Using ARM Observations and a Single-Column Model

Graupel and Hail Growth

The Whys of Weather Rain

Air stability. About. Precipitation. air in unstable equilibrium will move--up/down Fig. 5-1, p.112. Adiabatic = w/ no exchange of heat from outside!

A critical review of the design, execution and evaluation of cloud seeding experiments

Solutions to questions from chapter 8 in GEF Cloud Physics

A Novel Approach for Representing Ice Microphysics in Models: Description and Tests Using a Kinematic Framework

Cloud parameterization and cloud prediction scheme in Eta numerical weather model

References: Cloud Formation. ESCI Cloud Physics and Precipitation Processes Lesson 1 - Cloud Types and Properties Dr.

J12.4 SIGNIFICANT IMPACT OF AEROSOLS ON MULTI-YEAR RAIN FREQUENCY AND CLOUD THICKNESS

Future directions for parametrization of cloud and precipitation microphysics

Precipitation. AT350: Ahrens Chapter 8

The Shape of a Rain Drop as determined from the Navier-Stokes equation John Caleb Speirs Classical Mechanics PHGN 505 December 12th, 2011

Aerodynamic Studies of Falling Snowflakes

Precipitation - Chapter 8

Mystery of ice multiplication in warm based precipitating shallow cumulus clouds

Melting of ice particles:

Parameters characterizing cloud turbulence

UNRESOLVED ISSUES. 1. Spectral broadening through different growth histories 2. Entrainment and mixing 3. In-cloud activation

A hierarchy of one- and two-moment microphysical parameterizations in the COSMO model

Climate models. René D. Garreaud. Departement of Geophysics Universidad de Chile

A brief overview of the scheme is given below, taken from the whole description available in Lopez (2002).

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

Incorporation of 3D Shortwave Radiative Effects within the Weather Research and Forecasting Model

A new look at statistical evaluations of cloud seeding experiments WMA Meeting 9-12 April 2013 San Antonio, Texas

Weather, Atmosphere and Meteorology

Gerald H. Pollack, PhD University of Washington Seattle

Aerosol effects on cloud dynamics, microphysics and precipitation: numerical simulations with WRF with spectral (bin) microphysics

Atmospheric Sciences 321. Science of Climate. Lecture 14: Surface Energy Balance Chapter 4

RAINFALL ENHANCEMENT PROGRAMS AND NEED FOR TRAINING. SAHEL Conference April 2007 CILSS Ouagadougou, Burkina Faso

Precipitation Structure and Processes of Typhoon Nari (2001): A Modeling Propsective

1. GLACIER METEOROLOGY - ENERGY BALANCE

STEPHEN M. SALEEBY AND WILLIAM R. COTTON

Using Cloud-Resolving Models for Parameterization Development

Parcel Model. Meteorology September 3, 2008

Satellite measurements of CCN and cloud properties at the cloudy boundary layer: The Holy Grail is it achievable?

A new theory for moist convection in statistical equilibrium

Diffusional Growth of Liquid Phase Hydrometeros.

Model description of AGCM5 of GFD-Dennou-Club edition. SWAMP project, GFD-Dennou-Club

Transcription:

Rogers and Yau Chapter 10: Drop breakup, snow, precip rate, and bulk models One explanation for the negative exponential (M-P) distribution of raindrops is drop breakup. Drop size is limited because increased chance of disruption with size Drop breakup: Spontaneous Collisional

Rogers and Yau Chapter 10 Drop breakup Spontaneous Breakup: Arises from aerodynamically-induced circulation in the drop Komabayasi et al. (1964) show: 1. This mode of breakup is a function of drop size and spectrum of small droplets ultimately produced 2. Surface tension may not be able to maintain a 3 mm (diameter) drop 3. 6 mm drops (diameter) are unstable and exist only briefly Theoretical calculations give flatter drop spectra than those observed, implying an overestimate of breakup More recent studies show that drops may become as large as 10 mm before this mode of breakup occurs maybe spontaneous breakup is not important in atmospheric situations

Rogers and Yau Chapter 10 Drop breakup Collisional Breakup Lab study: water drops between 0.3 and 1.5 mm colliding at an angle with relative velocities between 0.3 and 3 m s -1 Ultimate coalescence is less likely for larger values of drop size, relative velocity, and impact parameter (??) Disruption when RKE of the drop > than surface energy required for separate drops Comparing these two energies gives a coalescence efficiency: ε 12σf( R r) -------------------------- 5rρU 2 where σ = surface tension, ρ = density, U = relative velocity. =,

Drop breakup ε = 12σf( R r) -------------------------- 5rρU 2 ε < 0.2 exist for 1 mm < R < 2.5 mm Curiosity: Note ε is not symmetric across R=r

Rogers and Yau Chapter 10 Drop breakup To really figure this out, would have to go back to the source articles: Brazier-Smith, P. R., Jennings, S. G., and Latham, J., 1972: The interaction of falling water drops: coalescence. Proc. Roy. Soc. Lond., A326, 393-408. Brazier-Smith, P. R., Jennings, S. G., and Latham, J., 1973: Raindrop interactions and rainfall rates within clouds. Quart. J. Roy. Meteor. Soc., 99, 260-272. (Good luck finding the first one, should you ever need it!)

Rogers and Yau Chapter 10 Drop breakup R&Y Figure 10.3 R&Y Figure 8.3 Collision efficiency in 10.3 (left) is unity where coalescence efficiency in 8.3 (right) is less than unity, and conversely Collection efficiency apprx. equals min[collision ε, coalescence ε]

Rogers and Yau Chapter 10 Drop breakup B-S et al. showed that the collisions that didn t coalesce produced from 1-10 small satellite drops from 20-200 µm radius Approximated this effect by assuming that three satellite drops would be produced, each having volume ( + ) 0.04V 1 V 2 V 1 V 2 Young (1975) put it all together growth by condensation and coalescence, and collision-induced drop breakup. Calculated DSD in a cloudy volume rising with constant w, modeling drop breakup as B-S et al.

Rogers and Yau Chapter 10 Drop breakup 30 minutes of ascent w = 3 m s -1 maritime cloud Marshall-Palmer!

Rogers and Yau Chapter 10 Drop breakup A later study (Low and List 1982) argued that the fall velocities and forces (gravity, drag) should all be in the vertical plane so the drops have the proper relative velocities between them and the air. Carried out experiments and noted three distinct breakup types

Rogers and Yau Chapter 10 Drop breakup Collision tore off one side of large drop coalescence occurs temporarily but disk spreads and breaks up breaks into sat. drops drop identities mostly preserved most like B-S

Rogers and Yau Chapter 10 Drop breakup Breakup occurrence and type depends on point of impact but also collision kinetic energy (CKE) of the colliding droplets: CKE where U is relative velocity and γ = R/r. = 2 --πρ R 3 3 L ------------- 1 + γ 3 U 2 All three modes exist at large CKE, depending upon impact point At small CKE and small γ = R/r neck/filament breakup At small CKE, E T = CKE + surface energy excess from 2drops 1. Coalescence will occur if E T is dissipated through oscillation and deformation of drop,

Rogers and Yau Chapter 10 Drop breakup Low and List (1982) obtained the empirical relation for coalescence ε, ε = γ a ----------- 1 + γ 2 bσe 2 exp ------------- T S c and 0 otherwise. for E T < 5 µj As before, E T = CKE + 4πσ( r 2 + R 2 ) rπσ( r 3 + R 3 ) 2 3 surface energy of separate drops surface energy of coalesced drop

Rogers and Yau Chapter 10 Drop breakup Results from Low and List (1982): Minimum ε goes roughly along R = 2r, near max CKE region. Unlike B-S, here large r is associated with small ε.

Rogers and Yau Chapter 10 Drop breakup Collision of drops initial diameters of 0.46 and 0.18 cm (BIG drops) Neck/Filament breakup new small drops original drops Note that most of the character of the initial drops remains.

Rogers and Yau Chapter 10 Drop breakup Sheet breakup new small drops little change in large particle mode 18 µm mode eliminated

Rogers and Yau Chapter 10 Drop breakup Disk breakup New large population of small drops Eliminates or at least reduces growth of large drops

Rogers and Yau Chapter 10 Drop breakup Studies in the mid-80s calculated DSD as it evolves from initial M-P Initial Initial M-P M-P dist. dist 1. Reaches equilibrium DSD eventually 2. Shape of DSD stabilizes 3. Large drops grow by accreting small ones 4. large drops break up, replenishing small droplet population Eq. spectra definitely NOT M-P! Trimodal Unlikely to see this trimodal dist in atmos.

Rogers and Yau Chapter 10 Snow Snow crystals are highly variable (aggregates of crystals or small dendrites; large vapor-grown dendrites) so use mass or melted diameter for distribution Typical size distribution: smaller value of R larger value of R (precip rate)

Rogers and Yau Chapter 10 Precipitation rates Precip. rate is flux of water volume through a horizontal surface: RD ( ) = ND ( ) π --D3 ud ( ) 6 [m 3 m -2 s -1 m -1 ] To get total, integrate over all drop sizes: Units are [m 3 m -2 s -1 ] (volume of water flowing through a surface) but more commonly expressed as [mm h -1 ]. Similarly, liquid water content [kg m -3 ] is calculated by Note that LWC is independent of fall speed. R L = = π -- ND ( )D 3 ud ( ) dd 6 0 π --ρ 6 L 0 ND ( )D 3 dd

Bulk microphysical models We ve discussed in this class the fundamental processes for growth of liquid and solid microphysical particles. Let s see how these ideas might be incorporated into numerical models. Why bulk schemes? The models discussed in R&Y Ch 8 predict evolution of drop spectra Splits drop spectrum into bins and solves water continuity equations ~25 bins is a typical number VERY computationally expensive: k equations (e.g. 25), ~k 2 operations to calculate coalescence Imagine doing this over a 3D NWP or cloud model grid! Ouch!

Bulk microphysical models What is a bulk scheme (model, parameterization)? Bulk models assume only a few categories of water substance Minimizes number of conservation equations Minimizes number of calculations Disadvantages: lots of assumptions involved, which may be violated. Using a bulk model may indeed be a risky scheme!

Bulk microphysical models Simple bulk model of Kessler (1969) Liquid water only (i.e. warm rain) Two categories: cloud water small droplets; monodisperse ; zero terminal velocity rain water M-P distribution Bulk models will in general have conservation equations like dq i = SOURCES dt i SINKS i

Bulk microphysical models For the Kessler scheme, the conservation equations are dl c = S A C + D dt lc dl R 1 = -- ( ρvlr ) + A + C E + D dt ρ z lr dq v dt = S + E + D R S source of cloud water due to condensation A Autoconversion stochastic coalescence process converting cloudwater rainwater C accretion of cloudwater by rainwater D turbulent diffusion of various quantities V mass-weighted terminal velocity (defined positive) E evaporation of rainwater Consider A, C, and the precip. flux terms

Bulk microphysical models A Autoconversion The random and very ill-understood process by which small cloud droplets produce a few larger, precipitating droplets is called autoconversion. Autoconversion formulations typically are quite ad hoc and may be subject to much criticism. For the Kessler scheme, A = Hl ( c l c0 )Kl ( c l c0 ) K has units of [s -1 ]. A = 0 kg kg -1 s -1 for values below the l c0 threshold l c0 = 1 kg kg -1 in original paper, corresponding to the threshold value of cloudwater where Kessler began seeing precipitation formation

Bulk microphysical models Collection C Collection of cloud droplets by falling rain drops Accretion rate equation (may be obtained from R&Y 8.15 or 9.8) RHS is a function of size. dm D dt = π ρ l --D 2 ε 4 D V D l c We assume M-P distribution N = N 0 e λd Integrate over the M-P DSD

Bulk microphysical models Integrate over the M-P DSD: dl R dt = 0 π --D 2 ε 4 D V D l c N 0 e λd dd Need V D as a function of D. Use drag on sphere for high Reynolds #s: Substituting, C V D = k g ρ l ---- 1 2 ρ D 1 2 dl R kg 1 2 ρ l ---- 1 2 π = = dt ρ --εn 4 0 l c D 5 2 0 e λd dd

Bulk microphysical models Because we used M-P, the integral has an analytic solution C = k ρ l ---- 1 2 ρ g 1 2 π --εn Γ( 7 2) 4 0 l c ------------------ λ 7 2 Want everything in terms of l c and l R, not M-P intercept parameter! Realize that total rainwater content l R is integral of the mass of each drop over the DSD: l R ρ l 0 D = ---- π ρ --N 6 0 D 3 e λd d = π -- ρ l Γ ---- N ( 4 ) 6 ρ 0 ----------- Use this relation to find λ 7/2 and plug into above expression for C to get C = k 1 g 1 2 ---- ρ 3 8 ρ l 1 8 εn 0 7 8 l c l R λ 4

Bulk microphysical models WHEW! C = k 1 g 1 2 ---- ρ 3 8 ρ l 1 8 εn 0 7 8 l c l R The point here is that the collection varies as the product of the mixing ratios, i.e. C l c l R

Bulk microphysical models An expression for precipitation flux is derived in a similar manner, taking Vl R, assuming a relation for terminal fall speed as a function of drop size, and integrating over the M-P distribution. I ll mercifully not show this one! These bulk models get MUCH more complicated as species are added

Bulk microphysical models (Lin et al. 1983)