LEAD Fact Sheet

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Linked Environments for Atmospheric Discovery
Transforming the sensing and numerical prediction
of high impact local weather through dynamic
adaptation
Vision
Revolutionize the ability of scientists,
students, and operational practitioners to
observe, analyze, predict, understand, and
respond to hazardous or severe weather by
interacting with it dynamically and adaptively
Motivation

• Weather technologies are hard to use in
  sophisticated ways because theyre complicated
  and linked together using cumbersome software -
  creating a HUGE DIVIDE BETWEEN THE HAVES AND THE
  HAVE NOTS
• High impact local weather is VERY DYNAMIC while
  our tools, cyber environments and learning
  modalities are highly STATIC

GOALS
1 Lowering the barrier for using
complex end-to-end weather technologies
Democratize the availability of advanced
weather technologies for research and
education Empower application in a grid
context Facilitate rapid understanding,
experiment design and execution
2 Dynamic Adaptation to
Weather Models and hazardous weather detection
systems responding to observations and their own
output Models and hazardous weather detection
systems driving the collection of
observations IT infrastructures providing
on-demand, fault tolerant services
What can LEAD do for you?
Researchers Access to Powerful tools
for Assimilation, Prediction, Mining and
Visualization Supercomputing resources -
TeraGrid Data real-time and recent data
resources
Educators Access to LEAD Learning
Communities tools and colleagues Classroom
demonstrations hands on access to tools Data
real-time and recent data resources
Students Access to Resources to
learn about and visualize the weather With
approval create experiments access tools Data
real-time and recent data resources
Learn more at http//portal.leadproject.org
LEAD is sponsored by the National Science
Foundation
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Linked Environments for Atmospheric Discovery
http//portal.leadproject.org
Traditional NWP Methodology is Static
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LEAD Provides Dynamic Capabilities through a Web
Portal and Workflows
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Analysis/ Assimilation
STATIC OBSERVATIONS
Prediction/ Model
Graphical Domain Selection
The Process is Entirely Prescheduled and Serial
It Does NOT Respond to the Weather!

• Product
• Generation,
• Display,
• Dissemination

Drop down menu for selection of runs

• End Users
• NWS
• Private Companies
• Students

How? Built on (Web) Services But in a Grid
Framework
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Service A (Forecast Model)
Service B (Terrain Preprocessor)
Service C (Interpolator Service)
Many others
How? Workflow Generation
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Pre-configured workflows automatically generated,
which can be modified by users via a composition
tool launch manually or via trigger (dynamic)
LEAD is sponsored by the National Science
Foundation