severe weather forecasting tools in the ninjo workstation
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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
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
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
NinJo Layers = Client Interface to Server Applications
Severe Weather Warnings for DWD
DWD announced that it will to take the responsibility to provide a severe thunderstorm/tornado warning service!
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)
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
Implementation – SCIT and Cells
Composite radar;
Imagery hidden
Cell detections shown
Storm ClassificationIdentification and Tracking- “ranked storms”
Cell View
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
NinJo and Radar
Composites on the fly or pre-computed, Data viewer
A NinJo View:
Transparent radar and satellite overaid
on surface data
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
Assessing Models with Data
Watch / Assessment Phase of the Severe weather forecast process
Cross-sections
MxRadar XSection
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
Assessing ModelsWatch Phase
Real vs Synthetic (NWP)
Assessing Models by Comparing with Data
Editting, Production and Monitoring(Warning Layer)
Objectively Optimized Guidance(Blending)
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
Lightning / Lightning Cluster Analysis
Modified Model Output(Point and Area editting)
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