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LaRC. /. This Presentation. What is CMMAP? Science & Motivation History Organization Future plans The Grad Student Colloquium The CMMAP Team Meeting Expectations. CMMAP.

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This presentation
This Presentation

  • What is CMMAP?

    • Science & Motivation

    • History

    • Organization

    • Future plans

  • The Grad Student Colloquium

  • The CMMAP Team Meeting

  • Expectations


  • Is a “Science and Technology Center” (an “STC”) supported by the National Science Foundation (NSF)

  • Involves more than 120 people from 30 institutions around the world!

  • Is just starting its second year of a (likely) 10-year lifetime

  • Is inventing a radically new way to predict weather and climate!

The airplane speech
The Airplane Speech

  • Numerical models of weather & climate

  • Clouds are really important

  • Connecticut is bigger than CSU

  • Computers are way too slow

  • Public opinion polling

  • Shower curtains


Cloud processes
Cloud Processes






These processes interact strongly on the cloud scale, and also with larger scales.


“...The modeling of clouds is one of the weakest links in the general circulation modeling efforts.”

--Charney et al., National Academy Report, 1979

Deficiencies in the representation of cloud processes in climate models drive much of the uncertainty surrounding predictions of climate change.

This was true 30 years ago, it’s true now, and unless we adopt a new approach it will still be true 30 years from now.

The problem is multiple scales

Cloud-scale processses the general circulation modeling efforts.”

Relatively well understood

The problem is multiple scales.

Global scale

Bad news: Requires a very powerful computer.

Multiple scales
Multiple Scales the general circulation modeling efforts.”

Cloud-scale processes

Relatively well understood

Meso-scale statistics

Poorly understood

Global scale

Cloud parameterizations
Cloud Parameterizations the general circulation modeling efforts.”

Current global models include the effects of cloud processes on unresolved scales through “parameterizations,” which are statistical theories, analogous to thermodynamics.


At very high resolution, a realistic model should grow individual clouds.

A model that uses cloud parameterizations can’t do this.

Therefore, global models have to be reformulated when run at high resolution.


Super-Parameterization: individual clouds.

A Multiscale Modeling Framework

This idea was proposed and first tested by Wojciech Grabowski.

Brief history of cmmap

Brief History of CMMAP individual clouds.

This took a long time to gestate
This Took A Long Time to Gestate individual clouds.

  • November 2000: Dave asks Marat to embed his cloud model into the Community Atmospheric Model

  • Summer 2001: Results look good … Dave considers proposing an STC

  • October 2002: 60 leading cloud modelers from around the world come to CSU in a snowstorm and agree to propose an STC

Cmmap prehistory continued
CMMAP Prehistory Continued individual clouds.

  • March 2003: STC proposals are invited by NSF

  • May 2003: Pre-proposal planning in Hawaii. Dave promises to return to Kauai if we get funded

  • June 2003: About 250 preproposals submitted to NSF

  • October 2003: NSF invites a full proposal from 37 proto-Centers

Cmmap prehistory
CMMAP Prehistory individual clouds.

  • Feb 2004: Full proposal submitted by CSU 30 seconds before the deadline!

  • June 2004: NSF announces it will “Site Visit” 12 applicants

  • October 2004: Site visit at CSU

  • January 2005: NSF rejects 6 of the 12 site-visited Centers (not us!)

  • May 2005: “Limbo” Team Meeting

Cmmap timeline
CMMAP Timeline individual clouds.

  • July 2006: CMMAP Award approved!

  • August 2006: Kickoff team meeting at CSU

  • Feb 2007: Second Team Meeting in Kauai

  • Aug 2007: This meeting

  • Feb 2008: Team meets at UCLA?

Cmmap organization

CMMAP Organization individual clouds.

Cmmap components
CMMAP Components individual clouds.

  • We learn.

  • We teach.

  • We “transfer” what we have learned to the larger culture.

Required by NSF, but also a very good idea!

Component shares of budget
Component Shares of Budget individual clouds.

Total is $4M/year, likely for 10 years

Cmmap participants
CMMAP Participants individual clouds.

Objectives working groups and themes
Objectives, individual clouds. Working Groups, and Themes

  • Organizing all this and reporting progress to NSF is a lot of work

  • There are a lot of defined “objectives” required for reporting

  • Too many for the Team Meetings

  • “Working Groups” for objectives have been replaced by larger “Themes”

Research themes
“Research Themes” individual clouds.

  • Future tools (the new models)

  • Low cloud feedback processes

  • Shallow -> Deep Convection & Turbulence

  • The Madden-Julian Oscillation

Future tools
Future Tools individual clouds.

  • Multiscale Modeling Framework (MMF)

  • Quasi three-dimensional multiscale model (Q3D MMF)

  • Global cloud resolving model (GCRM)

Families of models
Families of Models individual clouds.

Quasi 3d mmf
Quasi-3D MMF individual clouds.

  • Full-blown CRM with big “holes”

  • Real 3D physics at intersections

Quasi 3d mmf1
Quasi-3D MMF individual clouds.

Low cloud feedbacks theme
Low-Cloud Feedbacks Theme individual clouds.

Unresolved processes in mmf
Unresolved Processes in MMF individual clouds.

The madden julian oscillation mjo
The Madden-Julian Oscillation (MJO) individual clouds.

  • Dominant pattern of variability of weather in the deep tropics

  • “Wave” of clouds and rain passing about every 40-50 days

  • Possibly related to El Nino onset

  • Most global models don’t have MJO

  • It wasn’t in the CAM, but when the cloud-resolving shower curtain was embedded, voila! MJO appeared!

  • Why? How does the MJO work?

Simulated mjo is realistic
Simulated MJO is Realistic! individual clouds.

Cmmap grad student colloquium
CMMAP Grad Student Colloquium individual clouds.

  • Annual event for all CMMAP grad students (5 universities?)

  • Opportunity to broaden grad education beyond research with your advisor & department

  • Opportunity to collaborate across CMMAP institutions

  • Ideal outcome: collaborations among future scientists that wouldn’t have happened otherwise!

Schedule individual clouds.

Cmmap team meeting
CMMAP Team Meeting individual clouds.

Aspirations individual clouds.

  • CMMAP graduates will emerge having played a central role in the invention of a new way to predict weather & climate …

  • will have strong collaborative relationships with young scientists at other leading universities …

  • will be prepared professionally beyond their research areas

    • Teaching, Ethics, Writing, Funding, Policy, Diversity