Weather Intelligence Observations and Forecasts 2016 PNS Snow - - PowerPoint PPT Presentation

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Weather Intelligence Observations and Forecasts 2016 PNS Snow - - PowerPoint PPT Presentation

Weather Intelligence Observations and Forecasts 2016 PNS Snow Conference Portland, OR June 7-8, 2016 Leigh Sturges Ken Rosenow Ralph Patterson Todays Talk Strategic goal: LOS Logistics: Operations Intelligence:


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2016 PNS Snow Conference

Portland, OR June 7-8, 2016

Weather “Intelligence”

Observations and Forecasts

Leigh Sturges Ken Rosenow Ralph Patterson

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Today’s Talk

  • Strategic goal: LOS

– Logistics: Operations – Intelligence: Weather information

  • Intro: Weather information
  • Key environmental measurements

– Air temperature – Humidity – Wind – Pressure – Visibility – Precipitation – Solar radiation – Soil temperature – Road temperature – Road condition

  • Concluding thoughts
  • What it is
  • Why it matters
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Strategic Goals (LOS) Logistics Intelligence

The LOS goals set at your agency balance…

– Maintaining safety and mobility – Political and/or public expectations – Budgetary constraints – Physical abilities of equipment and crew – Environmental concerns

Road Surface State

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humans machinery chemicals technology communications

Strategic Goals (LOS) Logistics Intelligence

When? Where? How much? What? Resources

Road Surface State

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air temperature humidity wind solar radiation cloud cover barometric pressure visibility soil temperature road temperature precipitation

Strategic Goals (LOS) Logistics Intelligence

Field Observation Prediction What? When? Where? Atmospheric State Road Surface State Sub-surface State Contribution of Each Environmental Element

Road Surface State

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air temperature humidity wind solar radiation cloud cover barometric pressure visibility soil temperature road temperature precipitation

Strategic Goals (LOS) Logistics Intelligence

Field Observation Prediction What? When? Where? Atmospheric State Road Surface State Sub-surface State Contribution of Each Environmental Element

Road Surface State

humans machinery chemicals technology communications

When? Where? How much? What? Resources

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Intro: Weather Information

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Weather Information

  • Weather information is:

– Field observations

  • Current and historical

– Forecasts

  • Future state of those observations
  • All environmental elements that affect road surface state must be

considered

historical data

  • bservation

forecast

PAST PRESENT FUTURE

(hours ago) (1-36+ hours ahead)

atmospheric conditions surface conditions subsurface conditions

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Field Observations: RWIS

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Forecasts

  • Forecasters…

1. Figure out the future state of each element, 2. How it will affect road surface state, and 3. Communicate the part that matters to you

  • They do this by combining different inputs:

– Past environmental conditions – Current environmental conditions – Model data – Mitigation efforts – Physical understanding of the system (knowledge and experience)

historical data

  • bservation

forecast

PAST PRESENT FUTURE

(hours ago) (1-36+ hours ahead) model data mitigation efforts experience & knowledge

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Environmental Measurements

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Air Temperature

  • What it is:

– Air temperature is the average kinetic energy

  • f molecules in the atmosphere

p: GSU

  • Why it matters:

– Affects road surface temp – Affects precipitation type

  • Rain-snow level
  • Rate of change through a storm

– Warm air is less dense – Cold air is more dense

p: Wiki

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Humidity

RH < 100% RH = 100% (saturation)

  • Why it matters:

– When used with air temperature:

  • Fog or freezing fog
  • Deposition onto roads

– When used with road temperature:

  • Wet or frosty roads
  • What it is:

– The amount of water vapor in the air – Relative humidity – Amount of water vapor in the air compared to the amount of water vapor the air can hold – how close the air is to saturation (100%) – Dewpoint temperature – The temperature at which the air would reach saturation

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Wind: Reading Wind Barbs

Direction and Speed

15 mph 50 mph 30 mph SE wind WSW wind SSE wind

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Wind

  • What it is:

– Physical motion of air – Caused by differences in pressure/temperature – Varies greatly between the surface and the upper levels Wind @ 20,000 ft Large-scale atmospheric waves Wind @ surface Driven by terrain, temperature differences, and large-scale weather

Wind profile (Spokane)

2 June 2016, 5 am

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Wind

  • Why it matters:

– Blowing snow after precipitation stops – Reducing visibility – Moderates temperature at night

  • Reduces frost development
  • A few specific phenomena:

– Daily mountain/drainage – Gap winds – Downslope wind events

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Visibility

  • What it is:

– Distance visible light is able to pass through a medium

  • Why it matters:

– Can give you a sense of how intensely it’s precipitating – Operational considerations:

  • How visible are your plows?
  • How visible are other obstacles?

Shutterstock Deposit Photos

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Precipitation

  • What it is:

– Hydrometeors – Type, intensity, duration

  • How we forecast it:

– Observe moisture upstream (satellite & radar) – Model forecasts – Knowledge of precipitation forcing mechanisms

  • How we measure it:

– Radar* – RWIS sensors

“Pineapple Express”

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Radar Basics

NOAA

  • Radars…

1. Emit a radio beam that is reflected off of particles in the atmosphere. 2. Use an antenna to capture the reflected signal back at the radar site.

  • The amount of reflectivity

measured back at the radar represents the amount of precipitation (number and size of hydrometeors).

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Radar Coverage in the West

Beam Overshooting

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Radar Coverage in the West

Beam Blockage

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Solar Radiation

  • What it is:

– Radiation that comes from the sun – Solar radiation is absorbed by a surface; surface is heated. – Heated surface emits infrared radiation.

  • Why it matters:

– Road surface absorbs radiation very efficiently – Solar radiation is very susceptible to:

  • Angle—time of year, time of day,

latitude

  • Obstacles—cloud cover, terrain,

trees, buildings

– Clouds block radiation during the day, but hold it in at night

  • Like a blanket

Shading Infrared radiation Warming the pavement

100 200 300 400 500 10 15 20 25 30 35 40 45 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00

Solar Radiation W/m2 Temperature °F

UT28 I-15 Tremonton - 27 Jan 2016

Air Temperature Road Temperature Solar Radiation

32

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  • What it is:

– Temperature of the pavement’s underlying structure – Usually measured at 18” depth

  • Why it matters:

– Heat retention and transfer to pavement surface

  • Think about how not having a substrate—i.e., bridge deck—affects

pavement temperature.

Soil Temperature

WARM COLD WARM COLD AUTUMN/ EARLY SPRING/ LATE SPRING/ SUNNY DAY NIGHT

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Road Temperature

  • What it is:

– The amount of infrared radiation emitting from the pavement – Dependent upon solar radiation, subsurface temperature, and air temperature

Solar radiation Subsurface heat

  • Why it matters:

– Dictates road surface state:

  • How precipitation will behave when it contacts surface
  • Development of frost (when used with dewpoint)

– Dictates which chemicals to use

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Road Condition

  • Why it matters

– Being able to measure this through a storm helps to determine further mitigation efforts – Verify mitigation results throughout a storm – Informs how chemicals will/will not adhere

20 22 24 26 28 30 32 5:00 5:30 6:00 6:30 7:00 7:30 8:00

Temperature (°F)

Mayflower Summit, UT - 1/24/16

Road Freezing Temp Road Temp

  • What it is:

– The physical state of water on the pavement surface: none/dry, damp, wet, ice, snow, slush – Or the grip/friction of the surface – Or the eutectic (freezing) point of the water- salt solution – Or dry salt residual

MDT

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Camera Image

  • When the camera image is helpful:

– Helping you learn meaning of RWIS data – Verification of snow on roads – Visibility – Wet vs dry roads – Traffic congestion

  • When the camera image is not helpful:

– Falsely identifying icy vs wet – No way to determine friction – Lack of light at night – Snow-packed camera lens

So you know the road is salty, but can you tell the freezing point? Surface friction?

P: Post Register, Jenny Gonyer

Icy or wet?

Campbell Sci

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Concluding Thoughts

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What (More) Can RWIS Do For You?

Before the RWIS is installed:

  • Site RWIS in strategic locations

– Use the right sensors for the right spot – Think outside the box – Work with partners – Have a 5-year plan

Good practice for operations:

  • Perform twice-annual calibration and preventative

maintenance(!)

  • Make room for response maintenance
  • Quality control the data
  • Metadata…metadata…metadata
  • Archive the data and make it readily accessible

– Post-storm analyses (what went well, what didn’t, and why?) – Use for training or performance measurement – Severity indices

UDOT

ITD’s performance scale

UDOT

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What (More) Can A Forecast Do For You?

  • Ask yourself: Where is the human in the loop?
  • Humans are important, because…

– Forecasting the weather is still an art – Humans can recognize patterns and make comparisons to prior storms – Humans can communicate uncertainty in human terms, not just statistical

  • r probabilistic terms
  • Humans can be descriptive and nuanced in their communication

– If something changes, the human can relay that at that time and can describe the change to the crew – Can more easily adjust their biases and errors than a model – Mountain weather is important in the west, and models don’t handle it well

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Leigh Sturges The Narwhal Group 406-580-9626 leigh.sturges@narwhalgroup.com Ken Rosenow Weathernet 425-644-8468 ext 1103 kenr@nw-weathernet.com

Questions?

www.narwhalgroup.com

Ralph Patterson

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Supplementary Slides

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Barometric Pressure

  • What it is:

– The weight of a column of air over a given area at ground or sea level

  • Why it matters:

– Important for meteorologists denoting a change in the weather – Pressure, temperature and wind are all related – Used to forecast…

  • Wind storm development
  • Daily coastal weather
  • Strength of cyclones

top of atmosphere

1 in2 ground

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The Physics of the Forecast

  • A weather model:

1. Collects observations 2. Builds an estimate of the current atmosphere 3. Estimates the future of the atmosphere

  • Using physical and

thermodynamical equations

  • Forecasters understand

the science and know how to communicate what matters to you

  • How do we estimate the future state?

p: NCAR

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Key Trouble Spots

  • Low areas (cold pooling)
  • Areas by water (humidity)
  • Bridges
  • Shady spots (solar radiation; terrain, buildings, trees)
  • Gaps in terrain (wind)
  • Summits and lee slopes (orographic enhancement)
  • But that doesn’t necessarily mean you put your RWIS there
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Seasonal Forecasts

  • What you’d want to know and what they might include
  • Why they should not be used to make operational plans
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Summary

  • Bring it back to the operational goal: good intel builds your

logistical plan, helping you reach your goal efficiently