education and outreach within the modeling environment for atmospheric discovery (mead) project
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Education and Outreach Within theModeling Environment for Atmospheric
Discovery (MEAD) ProjectDaniel J. BramerUniversity Of Illinois at Urbana-Champaign
Scott LathropRobert WilhelmsonNational Center for Supercomputing Applications
Steve GordonOhio Supercomputing Center
Susan RaganMaryland Virtual High School
Bob PanoffGarrett LoveShodor Education Foundation
What is MEAD??
The goal of the MEAD expedition is the development and adaptation of Grid and TeraGrid-enabled cyberinfrastructure for mesoscale storm and hurricane research and education. Portal Grid and Web infrastructure will enable launching of hundreds of individual Weather Research and Forecasting (WRF), Regional Ocean Modeling System (ROMS), or coupled WRF/ROMS simulations in either ensemble or parameter mode. Discovery and use metadata coupled to the resulting terabytes of data will then be made available to enable further exploration. Thus, a user of the MEAD workflow will be able to configure and integrate model simulations, manage resulting model and derived data, and analyze, mine, and visualize large model data suites in a research (not predictive) context. Finally, very large domain research fault-tolerant simulations will be enabled through decomposition techniques that can be utilized efficiently on the new TeraGrid architecture. The resulting environment serves both as an example for other research efforts and a cyberinfrastructure proving ground.
MEAD Lite
Develop / adapt Grid and TeraGrid-enabled cyberinfrastructure (CI) for mesoscale storm and hurricane research and education.
You can:Configure, integrate, and launch 100’s of model
simulationsmanage resulting model and derived dataanalyze, mine, and visualize large model data
And more…
Why Education??
Many do not know understand the benefits of ensemble model generation.
MEAD can do this efficiently, but no one will use it unless they understand how it can help them.
MEAD Education Topics
MEAD Education Group Goal: Create models and examples to teach the value of the following topicsParameter Space (different kinds of storms form in
different atmospheric environments)Uncertainty (small changes in model initial
conditions and physical process representations lead to different results)
Prediction (determining probabilities bases on a collection of simulation results)
The Education Group
Scott Lathrop, NCSA-EOTSusan Ragan, MVHS
Hurricane Model in STELLASteve Gordon, OSC
Hurricane Floyd ModelsBob Panoff and Garrett Love, Shodor
Connection ModelsDaniel Bramer, UIUC
Balloon ModelRobert Wilhelmson, NCSA
Hurricane Model in STELLA
What?Help students learn
about hurricane path and strength by giving them a simplified model to play with.
Why?Many factors play a role
in how a hurricane develops as well as where it goes.
Hurricane Model in STELLA
Hurricane ModelInvestigate the role
of sea surface temperature and location of landfall
Note the uncertainty of hurricane paths
Same run may produce different results the second time.
Operate a real model
Hurricane Inland Flood Model
What?Help students use real data
(Floyd, ‘99) to forecast flooding conditions and estimate flood damage.
Why? Inland floding is often a larger
problem than wind damage and is also more difficult to predict (storm path, time exposure, response of complex watersheds).
Hurricane Inland Flood Model
Inland Flood ModelForecast streamflow with
respect to weather and relate to gage height
Use real dataExperience with statistical
techniquesShow forecasting difficulty
for complex environmental events
Connection Models
What?Connection Models can
help introduce students to computational science topics by starting with simple hands-on experiments.
Why?It can be difficult to
introduce students to the world of computational science.
Connection Models
Foam-disc ShooterRelatable to hurricanesSee how predictability and
uncertainty vary with distance
Fun!Hook to get to more
computational topics
Balloon Model
What?Help students see the
usefulness of running multiple simulations by allowing them to release balloons into the atmosphere and view the results.
Why?The variance in flight paths of
balloons is a good allegory to the variance weather system movement.
Balloon Model
Balloon ModelPath variance is similar to
hurricane path forecastsCompare balloon paths to
‘errors’ in the model. Relate uncertainty in balloon
travel to uncertainty in forecasting weather systems.
Predict next balloon’s location.
How does this help??
Many different ways to teach students about importance of uncertainty, predictability, and parameter space.
Leads to discussion of needing to run a model more than once to help get a feel for the potential possibilities.
Take Note
MEAD websitehttp://www.ncsa.uiuc.edu/expeditions/MEAD
See AlsoWilhelmson, et. al MEAD (A Modeling
Environment for Atmospheric Discovery)IIPS Paper 6.2
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