severe weather forecasting tools in the ninjo workstation
DESCRIPTION
Severe Weather Forecasting Tools in the Ninjo Workstation Paul Joe 1 , Hans-Joachim Koppert 2 , Dirk Heizenreder 2 Bernd Erbshaeusser 2 , Wolfgang. Raatz 2 , Bernhard Reichert 2 and Michael Rohn 2 1 Meteorological Service of Canada 2 Deutscher Wetterdienst. Outline. Brief NinJo overview - PowerPoint PPT PresentationTRANSCRIPT
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Severe Weather Forecasting Tools in the Ninjo Workstation
Paul Joe1, Hans-Joachim Koppert2, Dirk Heizenreder2 Bernd Erbshaeusser2, Wolfgang. Raatz2, Bernhard Reichert2 and Michael Rohn2
1Meteorological Service of Canada2Deutscher Wetterdienst
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Outline Brief NinJo overview Various Tools Specfic to Weather Warnings
Radar – Doppler, 3D Algorithms (Konrad, CARDS) Storm Classification Identification and Tracking Interactive Cross-sections Interactive Cell Views Automon EPM – Editing, Production, Monitoring of Warnings OOG – Objectively Optimized Guidance MMO – Modified Model Output
Current status
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What is NinJo?
Consortium of five partners•Data Visualization Workstation•1.0 release date 27.03.2005•1.0 deployed by DWD, DMI, MCH, BGS•MSC responsible for radar, lightning•DWD responsible for SCIT
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NinJo Layers = Client Interface to Server Applications
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Severe Weather Warnings for DWD
DWD announced that it will to take the responsibility to provide a severe thunderstorm/tornado warning service!
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Radar in NinJoInitially based on the Canadian radar system in Canada due to requirements for severe weather.
Integrates data/products DWD legacy systems [KONRAD Hohenpeissenberg / RDT Offenbach AP2003 group], from MCH (TRT)
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Some Philosophy Assume expert severe wx user Must maintain situational awareness
Work from composite and drill down to details
Support Analysis/Mental ModelsDetail view match “text book” material
Create Leverage Points/not answersUse algorithms as guidance and not to
promote dumbnessDo not rely on algorithms, use them wisely
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Implementation – SCIT and Cells
Composite radar;
Imagery hidden
Cell detections shown
Storm ClassificationIdentification and Tracking- “ranked storms”
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Cell View
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Radar Data/Products and NinJo Can manipulate, view, interact with radar in
the same way as any other data – separation by usage rather than by sensor
Radar/data functionality separated VAD = aerological data Cell Objects = point data Radar Fields = 2D or 3D data Cross-section capability = path layer
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NinJo and Radar
Composites on the fly or pre-computed, Data viewer
A NinJo View:
Transparent radar and satellite overaid
on surface data
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Interactive “Cell” Views(first prototype step)
• User sets the area for viewing.
• Not necessarily based on algorithm detection of thunderstorms (and their problems)!
• Any data type can be included in the cell view window.
• eg boundary identification, fog monitoring
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Assessing Models with Data
Watch / Assessment Phase of the Severe weather forecast process
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Cross-sections
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MxRadar XSection
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AutoMon (Automatic Monitoring)(i) point threshold for alerting, (ii) model vs data, (iii) forecast vs data
Objects: Will handle objects generated by lightning cluster algorithms, satellite, manually using the same
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Assessing ModelsWatch Phase
Real vs Synthetic (NWP)
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Assessing Models by Comparing with Data
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Editting, Production and Monitoring(Warning Layer)
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Objectively Optimized Guidance(Blending)
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Summary
Very brief description of the NinJo and the Severe Weather package
Several tools to support the forecaster to make better decisions Radar, algorithms, ranking, cell views, cross-sections,
Automon, MMO (EPM (warning production), lightning, swath products
System in development, v1 released, v1.2 March 2006
Need to spend time on training to develop expertise Science, technology, usage Practice/Simulation needed to optimize use
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Lightning / Lightning Cluster Analysis
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Modified Model Output(Point and Area editting)