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Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003 Unidata Summer Workshop 2003
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Page 1: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Using theWeather Event Simulator

Using theWeather Event Simulator

John FerreeWarning Decision Training Branch

National Weather ServiceNorman, OK

John FerreeWarning Decision Training Branch

National Weather ServiceNorman, OK

6/24/2003Unidata Summer Workshop 2003

Page 2: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Quote Quote

“Experience is the best teacher, but the most expensive.”

– Fortune cookie (lucky numbers 20, 47, 32, 15, 12, 7)

“Experience is the best teacher, but the most expensive.”

– Fortune cookie (lucky numbers 20, 47, 32, 15, 12, 7)

Page 3: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Another QuoteAnother Quote

“Excellence is an art won by trainingand habituation. We do not actrightly because we have virtueor excellence, but we rather havethose because we have actedrightly. We are what we repeatedlydo. Excellence, then, is not an actbut a habit.”

- Aristotle (384 BC - 322 BC)

“Excellence is an art won by trainingand habituation. We do not actrightly because we have virtueor excellence, but we rather havethose because we have actedrightly. We are what we repeatedlydo. Excellence, then, is not an actbut a habit.”

- Aristotle (384 BC - 322 BC)

Page 4: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Simulations Deliver BetterUnderstanding and Retention

Simulations Deliver BetterUnderstanding and Retention

5%10%

20%

30%

50%

75%

90%

Lect

ure

Readi

ng

Audio

/Visua

l/CBT

Dem

onst

ration

Discu

ssio

n Gro

up

Lear

n-By-

Doi

ng

Teac

hing

Oth

ers

Source: NTL Institute for Applied

Behavioral Science

Page 5: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Learn By DoingLearn By Doing

Page 6: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Simulations ImproveJob Performance

Simulations ImproveJob Performance

• Flight Simulators

– Department of Defense

– NASA

– All Major Airlines

– Flight Schools

Page 7: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Simulations ImproveJob Performance

Simulations ImproveJob Performance

• DOD and DOT simulations have led to performance improvement.

• Private sector has tied simulation use to “bottom line” improvements.

• DOD and DOT simulations have led to performance improvement.

• Private sector has tied simulation use to “bottom line” improvements.

Page 8: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

What is the Weather Event Simulator (WES)?

What is the Weather Event Simulator (WES)?

• WES is a data pump

– Hides & reveals data using time/data stamp

– Radar base data revealed using simulated VCP

• WES is a data pump

– Hides & reveals data using time/data stamp

– Radar base data revealed using simulated VCP

++ ++ ++OfflineLinux

Workstation

OfflineLinux

Workstation

Build 5.2.2Linux

AWIPS

Build 5.2.2Linux

AWIPS

WES 1.1SoftwareWES 1.1Software

ArchivedCase and

Guide

ArchivedCase and

Guide

Page 9: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Archiving SystemArchiving System

• Archive LINUX PC attached to AWIPS

– Data saved on-site

– Includes national and local data sets

– Saved to CD-ROM or DVD

– Transferred via non-routable network connection to WES

– Overwritten every 4-7 days

AWIPS IPAWIPS IP

Nonroutable IPNonroutable IP

WES

LinuxArchive

Page 10: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

WES GoalsWES Goals

• Improve NWS Products and Services

– Provide an Operationally Representative Environment

• Apply Science

• Develop Decision Making Skills

– “Train as You Fight”

Page 11: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

“…feedback offered by the simulator is not enough…the evaluator must provide feedback to help students understand the results caused by their actions.”

» Dr. Roger Schank, Director Institute of Learning Service, Northwestern University

“…feedback offered by the simulator is not enough…the evaluator must provide feedback to help students understand the results caused by their actions.”

» Dr. Roger Schank, Director Institute of Learning Service, Northwestern University

Simulator – Not Enough Simulator – Not Enough

http://www.engines4ed.org/

Page 12: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

What Is a Simulation?What Is a Simulation?

• Specific Context

– Focused Learning Objectives

• Meaningful Task

– How long?

• Natural or Exaggerated Consequences

• Supporting Resources

• Specific Context

– Focused Learning Objectives

• Meaningful Task

– How long?

• Natural or Exaggerated Consequences

• Supporting Resources

Context

Task

Feedback

Support

Page 13: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Types of WES SimulationsTypes of WES Simulations

• Real-time simulation

– Time critical skills

• Interval-based simulation

– Integrate analysis and decision-making

• Situation awareness simulation

– Practice situational awareness skills

• Virtual reality simulation

– Build problem solving, team work and communication skills

• Real-time simulation

– Time critical skills

• Interval-based simulation

– Integrate analysis and decision-making

• Situation awareness simulation

– Practice situational awareness skills

• Virtual reality simulation

– Build problem solving, team work and communication skills

Same case can be used for all four simulation

types!

Page 14: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

WES Simulation GuidesWES Simulation Guides

• Learning Resource

– How To Use This Document

– Simulation Types

– Event Overview

– Five or More Prepared Simulations

• Learning Resource

– How To Use This Document

– Simulation Types

– Event Overview

– Five or More Prepared Simulations

Page 15: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Best PracticesBest Practices

• Assessing training needs

• Presenting techniques and research findings

• Sharing the experience

• Developing strategies and teamwork

• Gaining experience on new software

• Post event assessments

– Media Interviews

• Assessing training needs

• Presenting techniques and research findings

• Sharing the experience

• Developing strategies and teamwork

• Gaining experience on new software

• Post event assessments

– Media Interviews

Page 16: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Assessing Training NeedsAssessing Training Needs

• Warning decision based on an individual’s:

– Knowledge of the science

– Ability to use the technology

– Human factors

• Handle stress

• Maintain situation awareness

• Form expectations

• Work in a team

• Warning decision based on an individual’s:

– Knowledge of the science

– Ability to use the technology

– Human factors

• Handle stress

• Maintain situation awareness

• Form expectations

• Work in a team

Page 17: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Assessing Training NeedsAssessing Training Needs

• Are there any individual training needs that are common in a majority of the office staff?

– Science

– Technology

– Human factors

• Group training sessions

– Less time

– Common message

• Are there any individual training needs that are common in a majority of the office staff?

– Science

– Technology

– Human factors

• Group training sessions

– Less time

– Common message

Page 18: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Presenting Techniques or Research Findings

Presenting Techniques or Research Findings

• Concept of Situated Cognition

– “Knowledge can’t be known and fully understood independent of context.”

• Analysis and forecast techniques may be difficult to understand out of context.

• Techniques can be demonstrated in either displaced real-time or case study mode.

• Concept of Situated Cognition

– “Knowledge can’t be known and fully understood independent of context.”

• Analysis and forecast techniques may be difficult to understand out of context.

• Techniques can be demonstrated in either displaced real-time or case study mode.

Page 19: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Presenting Techniques or Research Findings

Presenting Techniques or Research Findings

• Large group

– Connect the WES to a data projector capable of projecting 1280x1024 resolution.

• Small group

– Gather around monitor.

• Large group

– Connect the WES to a data projector capable of projecting 1280x1024 resolution.

• Small group

– Gather around monitor.

Page 20: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Presenting Techniques or Research Findings

Presenting Techniques or Research Findings

• Presentation of an archived example (especially a local example) demonstrating research results improves:

– Confidence in the research

– Applicability of the research

– Use in operations

• Presentation of an archived example (especially a local example) demonstrating research results improves:

– Confidence in the research

– Applicability of the research

– Use in operations

Page 21: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Sharing the ExperienceSharing the Experience

• Pair experienced with less experienced

– Convey knowledge not well documented, and difficult to impart under time pressure

– Discover situations where intervention in an actual event may be necessary

• Pair experienced with less experienced

– Convey knowledge not well documented, and difficult to impart under time pressure

– Discover situations where intervention in an actual event may be necessary

Page 22: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Developing Strategiesand Teamwork

Developing Strategiesand Teamwork

• Individual warning strategy

– Product and overlay choice

– Use of screen real estate

– Color selection

– Procedures

• Develop or modify team warning strategies

• Individual warning strategy

– Product and overlay choice

– Use of screen real estate

– Color selection

– Procedures

• Develop or modify team warning strategies

Page 23: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Gaining Experience on New Software

Gaining Experience on New Software

• Acceptance of new warning applications is often slow due to potential negative impacts.

• WES provides experimentation without risk

• Acceptance of new warning applications is often slow due to potential negative impacts.

• WES provides experimentation without risk

Page 24: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Post Event AssessmentsPost Event Assessments

 

Accident Investigations

Root Cause Analysis

Proximal Cause

Post-Mortems

WB-Graph (Why-Because)

Page 25: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Post Event AssessmentsPost Event Assessments

• Use WES to playback recent events

• Re-create actions to review real-time issues and overall system performance

• Uncover critical aspectsof an event that should be:

– Duplicated

– Avoided

• Use WES to playback recent events

• Re-create actions to review real-time issues and overall system performance

• Uncover critical aspectsof an event that should be:

– Duplicated

– Avoided

Page 26: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Post Event Media InterviewsPost Event Media Interviews

• Use WES to playback recent events.

• Requires WES location in area cameras can be set up.

• Interviewer can operatewithout impact to operational system.

• Use WES to playback recent events.

• Requires WES location in area cameras can be set up.

• Interviewer can operatewithout impact to operational system.

Page 27: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Research Using the WESResearch Using the WES

• Case study review mode to study applied science and technology issues

• Displaced real-time mode to research warning decision making processes

– Event is controlled and predictable

– Actions and outcomes can be compared and contrasted

• Case study review mode to study applied science and technology issues

• Displaced real-time mode to research warning decision making processes

– Event is controlled and predictable

– Actions and outcomes can be compared and contrasted

Page 28: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

DiscussionDiscussion

• Best Practices

– Assessing Training Needs

– Presenting Techniques and Research Findings

– Sharing the Experience

– Developing Strategies and Teamwork

– Gaining Experience on New Software

– Post Event Assessments

• Research

• OTHERS?

• Best Practices

– Assessing Training Needs

– Presenting Techniques and Research Findings

– Sharing the Experience

– Developing Strategies and Teamwork

– Gaining Experience on New Software

– Post Event Assessments

• Research

• OTHERS?

Page 29: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Future WES PlansFuture WES Plans

• Incorporate simulations into curriculum

– Advanced Warning Operations Course - 2004

• Additional Functionality

– Scripting Language

– Warning Applications

• FFMP & SCAN

• Open WES - 2003

– Informix Free

• Incorporate simulations into curriculum

– Advanced Warning Operations Course - 2004

• Additional Functionality

– Scripting Language

– Warning Applications

• FFMP & SCAN

• Open WES - 2003

– Informix Free

Page 30: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Summary Summary

• Primary design goal of the WES was to give forecasters practice issuing warnings while experiencing a sense of urgency

• Others have found additional valuable uses of the WES

• In the near future, we hope to complete development of an “Open WES”

• Primary design goal of the WES was to give forecasters practice issuing warnings while experiencing a sense of urgency

• Others have found additional valuable uses of the WES

• In the near future, we hope to complete development of an “Open WES”

Page 31: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Additional Resources FAQ’s, Procedures, Volume Browser, Warngen Templates, etc.

Additional Resources FAQ’s, Procedures, Volume Browser, Warngen Templates, etc.

• http://www.wdtb.noaa.gov/DLCourses/wes

• http://www.comet.ucar.edu/strc/wes

• WES Help

• http://www.wdtb.noaa.gov/DLCourses/wes

• http://www.comet.ucar.edu/strc/wes

• WES Help

Page 32: Using the Weather Event Simulator John Ferree Warning Decision Training Branch National Weather Service Norman, OK 6/24/2003Unidata Summer Workshop 2003.

Questions or Comments? Questions or Comments?

• Contact Information

[email protected] ext. 4266

– www.wdtb.noaa.gov

• Contact Information

[email protected] ext. 4266

– www.wdtb.noaa.gov


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