forecaster awareness and expressing uncertainty in banded snowfall

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Maintaining Situational Awareness and Communicating Uncertainty Associated with Banded Snowfall Matthew A. Dux* Philip N. Schumacher* Ray Wolf+ * National Weather Service – Sioux Falls, SD + National Weather Service – Quad Cities, IA/IL October 21, 2015, National Weather Association

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Page 1: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

Maintaining Situational Awareness and Communicating Uncertainty Associated with Banded Snowfall

Matthew A. Dux*Philip N. Schumacher*

Ray Wolf+

* National Weather Service – Sioux Falls, SD+ National Weather Service – Quad Cities, IA/IL

October 21, 2015, National Weather Association

Page 2: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Mesoscale Heavy Snow Bands

Meteorological Challenges:

- High Snowfall Gradients- Significant Snowfall Rates- Rapid and Unpredictable Development- Model Ingredient Variance

NAM – 24 Hour Forecast

Actual Snowfall

Page 3: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Mesoscale Heavy Snow Bands

Impact/Messaging Challenges

- Short “Lead Time” to Warning- Less Planning Time by Partners

- Can Produce Significant Impacts

- Difficult to Message Uncertainty- Changing Forecast Public Confusion

Many of these events are considered “surprises” by the public.

Page 4: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Changing Concept of Awareness/Messaging

Prediction and Forecast of Heavy Mesoscale Banded Snow Can Be Similar to That of Summer-Time Convection

Similarities:

- Conceptually Modeled Days in Advance- Highly Depend on Mesoscale Details- Rapidly Evolve as Event Approaches- Share a Localized High-Impact Potential

Why Not Model the Forecast and Messaging Process in Similar Fashions?

Page 5: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Outlook Stage

Alert Stage

Watch Stage

Warning Stage

Communication/Forecast Model12 to 24+ Hours Ahead

- Focus on Potential- Highlight Broad Area- May Already Have Ongoing

Watch

12 to 24+ Hours AheadFocus on Potential

6 to 12 Hours AheadEvolve the

Forecast

0 to 6 Hours AheadKey on the

Details

Event OngoingPush the

Message

Increased Accuracy

& Certainty

Page 6: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Example Case

Typical Mid-Winter Snow Event for Northern Plains

Expectations of Widespread Light Snow 3” or Less

Arrival of Snow Late Afternoon/Evening

Models Showing Signs of Banded Precipitation

Huron

Alexandria

Marshall

Chamberlain

Aberdeen

Yankton

Sioux City

Sioux Falls

Brookings

Valentine

Pierre

Watertown

Storm Lake

36 Hour Snow Forecast

Timeline: 36 Hours in Advance

1”- 3”

1”- 3”

Page 7: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Outlook Stage Timeline: 12 to 24 Hours Prior

Forecast Awareness

- Be Aware of Model Trends

- Address Concerns in the AFD

- WWA in Effect?

Event Messaging

- Focus on Potential

- Highlight Broad Area

- Address Uncertainty

Page 8: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Alert Stage Timeline: 6 to 12 Hours Prior

Forecast Awareness- In Depth Examination

of Environment

- Use Probabilities to Inspect Heavy Snow Potential

- Change in Headlines Needed?

- Adjust Staffing?

Event Messaging- Narrow Down Risk of

Heavy Snow Area

- Begin to Stress Potential Impacts

- Address Uncertainty

Page 9: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Watch Stage Timeline: 0 to 6 Hours Prior

Forecast Awareness- Heavy Focus on

Observations

- Begin Mesoscale Interrogation

- Write a Mesoscale Discussion in AFD

- Headline/Staffing Changes?

Event Messaging- Narrow Risk of Heavy

Snow Area

- Begin to Stress Potential Impacts

- Change Tone of Message

Page 10: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Warning Stage Timeline: Event Ongoing

Forecast Awareness

- Focusing on Incoming Information

- Gather Reports

- Continual Weather Watch and Forecast Adjustments

- Warning Already Issued

- Staffing Adjusted

Strong Emphasis on Social Media and Communications

Page 11: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Warning Stage Timeline: Event Ongoing

What Types of Messages:

- Live Traffic Cameras

- 30 Second Human Video Updates

- Animated Radar GIFS to Show Motion

- Public Service Announcements

Event Messaging

- Heavy Focus on Impacts

- Continual Flow of Information

- Express Certainty in the Message

- Provide Outlooks into the Night

Page 12: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Future WorkNWS Sioux Falls Will be Participating:Experimental Probabilistic Snowfall Forecast Products

With Goals:

1.) Better defining categorical term usage for “Low, Moderate, High” based on forecast probabilities.

2.) Targeting Communication Based on NWS Partners

Example from WFO - Sterling

Minimum Most Likely Maximum

Page 13: Forecaster Awareness and Expressing Uncertainty in Banded Snowfall

October 21, 2015, National Weather Association Comments: @matthewdux #nwas15

Important Questions for the Future

How Do We Advertise the Worst Case Snow Scenario? Can We?

How Do You Message Extreme Events Without Leading to “Forecast Hype”?

Does “One-Size-Fits-All” Messaging Work? Does Message Need to Vary by User (Public/Schools/Emergency Management/DOT)?

Let’s Keep the Conversation Going!

Contact: [email protected]@MatthewDux