apl muri kickoff
DESCRIPTION
APL MURI Kickoff. APL MURI TEAM. Bob Miyamoto David Jones Jim Pitton Keith Kerr Mark Krueger. Key Strengths of the Team. Navy/domain experience Related research projects MHSII EVIS DRI Visualization, Intelligent Agents, Engineering Statistics. APL Role in MURI Team. - PowerPoint PPT PresentationTRANSCRIPT
04/22/23 Applied Physics Laboratory 1
APL MURI Kickoff
04/22/23 Applied Physics Laboratory 2
APL MURI TEAM Bob Miyamoto David Jones Jim Pitton Keith Kerr Mark Krueger
04/22/23 Applied Physics Laboratory 3
Key Strengths of the Team Navy/domain experience Related research projects
MHSII EVIS DRI
Visualization, Intelligent Agents, Engineering Statistics
04/22/23 Applied Physics Laboratory 4
APL Role in MURI Team Provide relevance to Navy needs Coordinate interaction w/ Navy Orgs. Develop task-based visualizations Integrate component research
efforts Facilitate interaction among MURI
participants
04/22/23 Applied Physics Laboratory 5
Navy METOC & Uncertainty “Model of the Day?” Tropical Cyclone forecasts EFS at FNMOC
Ship Routing Long Range Temp Forecast
04/22/23 Applied Physics Laboratory 6
Navy METOC & Uncertainty Based on my experience as the
Operations Officer at FNMOC Forecasters have limited
understanding Confusing products Not designed for forecaster Great potential still not fully realized
04/22/23 Applied Physics Laboratory 7
Examples of Navy Uncertainty Products
04/22/23 Applied Physics Laboratory 8
FNMOC Ensemble Temp Mean
04/22/23 Applied Physics Laboratory 9
FNMOC 2m Temp Plume
04/22/23 Applied Physics Laboratory 10
FNMOC Gale Probability
04/22/23 Applied Physics Laboratory 11
Areas to investigate How forecasters deal with uncertainty Uses of uncertainty information by
METOC customers Easier ways to create uncertainty
products Better visualization techniques Verification
04/22/23 Applied Physics Laboratory 12
FNMOC COAMPS
04/22/23 Applied Physics Laboratory 13
UW Ensemble Mean
04/22/23 Applied Physics Laboratory 14
Next Steps Cognitive Task Analysis at
Whidbey Island Norfolk
Collaborative work with NPMOC, NLMOC, NPMOF, & FNMOC
Visualization research >>>
04/22/23 Applied Physics Laboratory 15
Exploratory Software Prototype Requirements Design Prototype Development Iterative Refinement Implementation Analysis
04/22/23 Applied Physics Laboratory 16
Tentative Requirements User-based framework Analytic & Geospatial visualization
tools Collaborative, interactive exploration Cross-platform availability Easy extensibility Suitable for broad range of expertise
04/22/23 Applied Physics Laboratory 17
Implementation Tools (1)
Java Language Cross-platform Sophisticated network (web) model Can “wrap” models in other languages
Inference Engine Easy to tailor level of expertise Can both bound and sequence
operations
04/22/23 Applied Physics Laboratory 18
Implementation Tools (2)
VisAD for Visualization Model-View-Controller architecture Remote display and collaboration Sophisticated data model High-level scripting language (Jython) Supports specialized “toolkit”
development Currently used within meteorological
community
04/22/23 Applied Physics Laboratory 19
VisAD Creations (courtesy VMET)Terrain and Wind Vectors
04/22/23 Applied Physics Laboratory 20
VisAD Creations (Courtesy VMET)
Time Series Wind Fields
04/22/23 Applied Physics Laboratory 21
VisAD Creations (courtesy VMET)
MM5 output – wind and temp fields