collaborating on the development of warn-on-forecast

18
Collaborating on the Development of Warn-On- Forecast Mike Foster / David Andra WFO Norman OK Feb. 18, 2010

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Collaborating on the Development of Warn-On-Forecast. Mike Foster / David Andra WFO Norman OK Feb. 18, 2010. Norman Forecast Office. Storm Prediction Center. National Severe Storms Laboratory. Collaboration. Radar Operations Center. OU. ESRL/GSD. Warning Decision Training Branch. - PowerPoint PPT Presentation

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Page 1: Collaborating on the Development  of Warn-On-Forecast

Collaborating on the Development of Warn-On-Forecast

Collaborating on the Development of Warn-On-Forecast

Mike Foster / David Andra

WFO Norman OK

Feb. 18, 2010

Mike Foster / David Andra

WFO Norman OK

Feb. 18, 2010

Page 2: Collaborating on the Development  of Warn-On-Forecast

CollaborationCollaboration

Science/Technology OperationsScience/Technology Operations

JDOP

Pre-STORM

NEXRAD IOT&E IIMAPSCOPSQED

VORTEX

1980 1985 1990 1995 2000 2005 | | | | | | 20xx >

Early algorithms

DOPLIGHT

Pre-AWIPS

MARD Risk Reduction

WDSS OK Mesonet

AWIPSMAR NSSL/SPC

WDSS IIJPOLIHOP

JointHWT

PARCASAVFloREFRACTVORTEX2ProbWarnWarn-On-Forecast

Storm Prediction Center

National Severe Storms LaboratoryRadar Operations Center

Norman Forecast Office

ESRL/GSDOUWarning Decision Training Branch

Page 3: Collaborating on the Development  of Warn-On-Forecast

2008 EWP Participants2008 EWP Participants

• Visiting Forecasters/Evaluators (26)

– NWS Regions: Alaska, Central, Western, Southern, Western

– Environment Canada

– Hydrometeorological Service of Serbia

• Cognizant Scientists (30)

– NSSL, OU, CIMMS, WDTB, WFO-OUN, U. Mass, U. VA

– WAS*IS: Dr. Eve Gruntfest

• Weekly Coordinators

• IT Coordinator

– Plus other IT help from NWC

• Operations Coordinator

• EWP Team Leaders

• Visiting Forecasters/Evaluators (26)

– NWS Regions: Alaska, Central, Western, Southern, Western

– Environment Canada

– Hydrometeorological Service of Serbia

• Cognizant Scientists (30)

– NSSL, OU, CIMMS, WDTB, WFO-OUN, U. Mass, U. VA

– WAS*IS: Dr. Eve Gruntfest

• Weekly Coordinators

• IT Coordinator

– Plus other IT help from NWC

• Operations Coordinator

• EWP Team Leaders

Page 4: Collaborating on the Development  of Warn-On-Forecast

OUN WRFOUN WRF

• Convective initiation and mode

• 4 km grid – ARW core

• Initialize every hour – eight hour forecast

• LAPS initialization – hot start radar

• OUN WRF 20 km - boundary conditions

• Convective initiation and mode

• 4 km grid – ARW core

• Initialize every hour – eight hour forecast

• LAPS initialization – hot start radar

• OUN WRF 20 km - boundary conditions

Page 5: Collaborating on the Development  of Warn-On-Forecast
Page 6: Collaborating on the Development  of Warn-On-Forecast

LOCAL WRF MODEL18Z April 7 2008Forecast for 23Z

Page 7: Collaborating on the Development  of Warn-On-Forecast

450 PM

Page 8: Collaborating on the Development  of Warn-On-Forecast

Warn on Forecast in 2020:

What might it look like?

Warn on Forecast in 2020:

What might it look like?

Forecast looks on track, storm circulation (hook echo) is tracking along centerline of highest tornadic

probabilities

Radar and Initial Forecast at 2100 CST Radar at 2130 CST: Accurate Forecast

MostLikelyTornadoPath

T=2120 CST

T=2150

T=2130T=2140

70%

50%

30%

T=2200 CST

Developing thunderstorm

2 of 5

NSSL Warn on Forecast Briefing March 5, 2007

MostLikelyTornadoPath

T=2120 CST

T=2150

T=2130T=2140

T=2200 CST

An ensemble of storm-scale NWP models predict the path of a potentially tornadic supercell during the next 1 hour. The ensemble is used to create a probabilistic tornado hazard forecast grid.

70%

50%

30%

Courtesy Lou Wicker, NSSL

Page 9: Collaborating on the Development  of Warn-On-Forecast

Alternative Warning and Forecast Formats

Alternative Warning and Forecast Formats

• High temporal- and spatial-resolution probabilistic hazard grids

• High temporal- and spatial-resolution probabilistic hazard grids

Page 10: Collaborating on the Development  of Warn-On-Forecast

WoF ChallengesWoF Challenges

• best approaches to radar data qc and assimilation into models

• determining how WoF information will be used in NWS operations and communicated to the public

• storm-scale process understanding, predictability, and parameterization improvements

• WoF project priorities, timing, evaluation and implementation strategies

• best approaches to radar data qc and assimilation into models

• determining how WoF information will be used in NWS operations and communicated to the public

• storm-scale process understanding, predictability, and parameterization improvements

• WoF project priorities, timing, evaluation and implementation strategies

Page 11: Collaborating on the Development  of Warn-On-Forecast

Some assumptions…Some assumptions…

• WoF will evolve into operations

– Not a turn key system

– May be regional or local differences in implementation

• There will remain a detection component

– An alert notification will inform of high impact phenomena

• Science and technology will continue to expand the number of observations, analyses and forecasts

• WoF will evolve into operations

– Not a turn key system

– May be regional or local differences in implementation

• There will remain a detection component

– An alert notification will inform of high impact phenomena

• Science and technology will continue to expand the number of observations, analyses and forecasts

Page 12: Collaborating on the Development  of Warn-On-Forecast

…and some more……and some more…• Data volume and complexity will grow

– Dual pol, Phased array , CASA

– Ensemble regional, local and storm scale models

• New forecast and warning formats and dissemination– Hazard probability envelopes

• Graphical

• Text

– More frequent updates possible

– Techniques will require calibration

– Techniques will require bias removal

• Data volume and complexity will grow– Dual pol, Phased array , CASA

– Ensemble regional, local and storm scale models

• New forecast and warning formats and dissemination– Hazard probability envelopes

• Graphical

• Text

– More frequent updates possible

– Techniques will require calibration

– Techniques will require bias removal

Page 13: Collaborating on the Development  of Warn-On-Forecast

…and more…and more

• Role of the human expert will change

– Today’s warning forecaster processes inputs and makes warning decision

– The same process tomorrow will mean many inputs not considered

• Manage the process

– Review

– Assess

– Correct

• Many others…

• Role of the human expert will change

– Today’s warning forecaster processes inputs and makes warning decision

– The same process tomorrow will mean many inputs not considered

• Manage the process

– Review

– Assess

– Correct

• Many others…

Page 14: Collaborating on the Development  of Warn-On-Forecast

Things the WFO can do now…Things the WFO can do now…

Page 15: Collaborating on the Development  of Warn-On-Forecast

Radar data quality control Radar data quality control • Review and assess radar data in real time

• Review and assess storm scale analysis in real time

• Review and assess radar data in real time

• Review and assess storm scale analysis in real time

Page 16: Collaborating on the Development  of Warn-On-Forecast

Information use in operations and communication to users

Information use in operations and communication to users

• A proving ground for operations

– Dedicated WFO position(s) during event operations

– Post-event reviews of information and actions

– HWT

• A proving ground for operations

– Dedicated WFO position(s) during event operations

– Post-event reviews of information and actions

– HWT

Page 17: Collaborating on the Development  of Warn-On-Forecast

Information use in operations and communication to users

Information use in operations and communication to users

• A proving ground for information

– Graphicasts

– Significant weather advisories

– Warning decision updates

• Interact with users groups; EMs, Schools, medical groups, local decision makers, SSWIM

• A proving ground for information

– Graphicasts

– Significant weather advisories

– Warning decision updates

• Interact with users groups; EMs, Schools, medical groups, local decision makers, SSWIM

Page 18: Collaborating on the Development  of Warn-On-Forecast

Evaluation and implementation strategies

Evaluation and implementation strategies

• Evaluate suitability of storm scale forecasts

• Risk reduction of phased implementation

• Evaluate suitability of storm scale forecasts

• Risk reduction of phased implementation