brian mapes , university of miami trying to be cam-useful with much help from

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Using more than one plume to make GCM convective tendencies participate in large scale phenomena better Brian Mapes, University of Miami trying to be CAM-useful with much help from Rich Neale, Sungsu Park, Chris Bretherton, Julio Bacmeister

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Using more than one plume to make GCM convective tendencies participate in large scale phenomena better. Brian Mapes , University of Miami trying to be CAM-useful with much help from Rich Neale, Sungsu Park, Chris Bretherton , Julio Bacmeister. Basis : well mixed steady plumes. - PowerPoint PPT Presentation

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Page 1: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Using more than one plume to make GCM convective tendencies participate in large scale phenomena

better

Brian Mapes, University of Miami

trying to be CAM-usefulwith much help from

Rich Neale, Sungsu Park, Chris Bretherton, Julio Bacmeister

Page 2: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Basis: well mixed steady plumes• Updraft mass flux is drawn from

the mean PBL » + perturbations ?

• Lateral mixing occurs instantly with the mean environment

» + perturbations ?

• Buoyancy determines how much mass starts & mixes, & where mixtures end up

• Tendencies built from vertical mass flux, microphysical processes, & any contingent downdrafts.

Page 3: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Key claim to physical validity• Updraft mass flux is drawn from

the mean PBL » + perturbations ?

• Lateral mixing occurs instantly with the mean environment

» + perturbations ?

• Buoyancy determines how much mass starts & mixes, & where mixtures end up

• Tendencies built from vertical mass flux, microphysical processes, & any contingent downdrafts.

Page 4: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Key uncertainty• Updraft mass flux is drawn from

the mean PBL » + perturbations ?

• Lateral mixing occurs instantly with the mean environment

» + perturbations ?

• Buoyancy determines how much mass starts & mixes, & where mixtures end up

• Tendencies built from vertical mass flux, microphysical processes, & any contingent downdrafts.

“The authors identify the entrainment rate coefficient of the

convection scheme as the most important single parameter...

[out of 31]...[for]...HadSM3 climate sensitivity”

Rougier et al. 2009, J.Clim.doi:10.1175/2008JCLI2533.1. (see Sanderson et al. 2010 too)

Page 5: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Another big uncertainty: closure• Updraft mass flux is drawn from

the mean PBL » + perturbations ?

• Lateral mixing occurs instantly with the mean environment

» + perturbations ?

• Buoyancy determines how much mass starts & mixes, & where mixtures end up

• Tendencies built from vertical mass flux, microphysical processes, & any contingent downdrafts.

Page 6: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

1 plume type not enough?

Brooks Salzwedel Plume #1 2009 12" x 8” Mixed Media Plume #2 2009 12" x 8”

Page 7: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Choice is self-fulfilling

Brooks Salzwedel Plume #1 2009 12" x 8” Mixed Media Plume #2 2009 12" x 8”

Smallentrainment

Deep, wideconvection

Largeentrainment

Shallow, narrow

Page 8: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Can’t we have both?

Page 9: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

competing? favors the large

Tropical west Pacific mean sounding

requiring elaborate handicapping schemes

Page 10: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

more like a succession?

Page 11: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

precip organizes & enlarges plume bases

Khairoutdinov and Randall 2006

Page 12: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

?Time? well mixed steady plumes• Updraft mass flux is drawn from

the mean PBL » + perturbations ?

• Lateral mixing occurs instantly with the mean environment

» + perturbations ?

• Buoyancy determines how much mass starts & mixes, & where mixtures end up

• Tendencies built from vertical mass flux, microphysical processes, & any contingent downdrafts.

Page 13: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Performance problem targets1. Entrainment dilemma (CCM2-CCM3, rehashed)– more mixing gives too-dilute convection

» unstable (e.g. cold aloft) climate biases

– less mixing gives too-undilute convection• weak q sensitivity

» too little variability, bland rainrate PDF, ...

– there is no “just right” in terms of constant ent. rate2. Closure issues (if separated from above)– variability, land/sea, SST/thermo/dyn sensitivities,...

3. Too instant response to instability• systematic: diurnal cycle over land• other variability surely affected

Page 14: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

What’s lacking?

lack = (nature) – (model)=

(convection’s subgrid variations in all fields and all systematic relationships among them)

-(independent mixing plumes rising from PBL in

uniform env.)

Page 15: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Holistic parameterization

• Take the biggest possible bite of what’s missing, for minimum cost & arbitrariness

• Relationships, not just another subgrid thing

• Involves tails & ‘unlikely’ overlaps, cultivated by natural selection (penetrative buoyant ascent), not just slabs of gross macrophysics PDFs.

Page 16: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Problems in knob space

1. plume base conditions and mixing effects are too situation-independent

2. Lack of finite-timescale development process

Page 17: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Solutions in knob space

1. plume base conditions and mixing effects are too situation-independent

2. Lack of finite-timescale development process

suggests need for some prognostic measure of

subgrid convection “situation” to key off of

Page 18: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

‘Organization’

very much

very little

Page 19: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

‘Organization’

very much

very little

1. triggering

2. Non-average

updraft base air, in non-

average env.

Page 20: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

tests in 2 knob spaces (CAM, toy)

forced, t-damped

org(t)

A single prognostic variable: org(t)Connected to convection apparatus by adjustable

coefficients, so absolute value is meaningless.

t is a cloud system or cloud field timescale.t

A sum of N bubble-ascent time(s) S(Hi/wi) ? Maybe someday – for now just 3h.

Page 21: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Full org treatment

forced, t-damped

org(t)Mb closure,

R .

local env

deeper,more rain

shear, rolls, deformation(directional?)

subgrid geog. Tb >

>Tmean + T’turb

Page 22: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

First CAM 3.5 expts (2007)

forced, 3-hour

damped

org(t)

local env

Mb trig, big R

Tb >

>Tmean + T’turb

ZM closure CAPE+

Page 23: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

org effects 1

• When it rains, it pours– rest of atm (mean) more stable

Page 24: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

org effects 2

• Delayed diurnal cycle

Page 25: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

(Offline) multi-Park/Breth plumes

forced, 3-hour

damped

org(t)

local env

Mb trig, big R

deeper,more rain

Page 26: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Evading entrainment dilemma?

• deeper plumes will have moisture sensitivity indirectly, through their succession contingency on shallower ones

• without being too diluted

Page 27: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Example: in COARE mean sounding, I get 8 plumes of increasing depth

Page 28: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

...but decreasing mass flux

Each contingent on the last for its gains

Page 29: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Depends on org(a slider of plume overlap probability

between random (0) and maximum (1)

org = 0.5 org = 0.2

Page 30: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Org effects

• Again: when it rains, it pours

• Mean state more stable, as convection occurs preferentially in org-enhanced microclimates

• stronger effect than latent heat of freezing on/off

• Delay time

Page 31: Brian  Mapes , University of Miami trying to be CAM-useful with much help from

Plans for CAM

• Real Park-Bretherton plumes in real CAM

• Flexible implementation allowing various effects to be switched on/off

• learn our way around knob space» Biggy – plume radius/ ent. rate – appears still unavoidable

• Better diagnostics• falsifiable with CRM/LES data

» (not same as DERIVABLE FROM them!)