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Surface Transportation Weather Research at The University of North Dakota

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Saltation Layer (where snow creeps/rolls in short trajectories) ... saltation layer. suspension layer. precipitation. vertical. transport. Fetch. wind. direction ... – PowerPoint PPT presentation

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Title: Surface Transportation Weather Research at The University of North Dakota


1
Surface Transportation Weather ResearchatThe
University of North Dakota
2
The Goals of theUniversity of North
DakotaSurface Transportation Weather Research
Center
  • To demonstrate evaluate the effectiveness of
    advanced meteorological analysis and forecasting
    in a surface transportation environment
  • To promote improved highway safety and
    efficiencies through improved technologies for
    spatial and temporal weather information
  • To expand the knowledge of surface boundary layer
    processes through surface transportation weather
    research
  • To successfully transfer university technologies
    through operational deployment in the private
    sector

3
Research Steering Committee
  • North Dakota Department of Transportation
  • South Dakota Department of Transportation
  • US Department of Transportation, Federal Highway
    Administration, ND SD
  • University of North Dakota
  • Surface Transportation Weather Research Center

4
Beginnings . . .
  • Development of the Advanced Transportation
    Weather Information System, 1995 to 2003
  • Public / Private Partnership
  • ND/DOT, SD/DOT, Mn/DOT, FHWA, UND
  • Cellular Communications Companies across ND, SD,
    MN
  • Private sector weather service providers
  • Initial Activities Addressed En-Route Travelers
  • Became national prototype for statewide 511 in
    2000
  • Later Activities Expanded to include Winter
    Maintenance Efforts

5
Present Research Topics Areas
  • Data assimilation and mesoscale modeling
  • Statistical and heuristic modeling
  • Pavement Frost
  • Pavement precipitation accumulation estimation
  • Blowing/drifting snow analysis and prediction
  • Roadway visibility
  • Improved spring load restriction condition
    prediction
  • Environmental sensor station (ESS) quality
    control methods
  • Improved prediction of solar loading of pavement
    surfaces
  • Advanced pavement condition prediction models
  • ITS Integration and Evaluation

6
Blowing/Drifting Snow Problem Statement
  • Blowing snow in the roadway presents a serious
    challenge to winter maintenance activities and
    driver safety
  • Current project
  • Develop a road environment blowing snow modeling
    system
  • Incorporation of mesoscale weather models
  • Integration with blowing snow model tailored to
    the roadway environment
  • Incorporation of a roadway Blowing Snow
    Susceptibility Index
  • Validation across broad terrain settings
  • Operational testing deployment

7
Snow Mass Flux Prediction
  • Two critical layers monitored
  • Saltation Layer (where snow creeps/rolls in short
    trajectories)
  • Suspension Layer (where lofted snow attains a
    height that impairs driver visibility)

wind direction
ROAD
8
Blowing/Drifting Snow Prediction
9
UND Winter 2005-06 Operational Testing
  • Validation of blowing snow research is part of
    the Pooled Fund Study Maintenance Decision
    Support System (PFS MDSS) Field Tests
  • 1 November 2005 to 15 April 2006
  • Resulting technology to be incorporated as part
    of the PFS MDSS package

For information on the PFS MDSS http//mdss.meridi
an-enviro.com
PFS MDSS States
10
Focus Research Areas
Ten 1-kilometer Blowing Snow Domains
One 10-kilometer Primary MDSS Domain
Each 1-kilometer Domain Focuses
on Specific Winter Maintenance Routes
11
Operational MDSS Display
Blowing Snow Alert
12
Validation and Verification
13
Blowing / Drifting Snow Field Measurements
Measurements to identify the nature and
constraints within a roadway environment and
provide REBS validation and verification
  • Roadway vegetation factors
  • Define characteristics of roadway snow holding
    capacity
  • Geo-referenced features
  • Monitoring of features during winter season
  • Video disdrometer measurements
  • 0.4-m lowest level possible
  • 1.2-m typical driver height
  • 2.1-m close to commercial vehicle height

Mature vegetative obstructions Yellow no, red
yes
video disdrometer provided by Dr. Larry Blevin,
NASA
14
RWIS-ESS Validation Efforts
  • Environmental Sensor Stations (ESS)
  • Serve as a foundation data set for road weather
  • Concept of ESS developed over 30 years ago
  • To provide information on road (and runway)
    conditions
  • To represent a reality of the state of the
    pavement and roadway weather
  • Effectiveness of the observations questioned
  • Do they provide valid pavement conditions?
  • Do the adequately represent the broader roadway
    weather conditions for which they are used to
    project?

15
UND Surface Transportation Weather Research
CenterRoad Weather Field Research Facility
16
University of North DakotaRoad Weather Field
Research Facility
  • Joint effort between academia, government and
    private sector
  • Located adjacent to Interstate 29 south of Grand
    Forks, ND

17
Motivation of Current Effort
  • Need for validation of current UND research
  • ESS quality control testing
  • Pavement frost
  • Pavement precipitation accumulation
  • Blowing/drifting snow
  • Roadway visibility
  • Seasonal load restriction prediction
  • Support for Multi-State MDSS validation efforts
  • Need for better understanding of
  • Spatial representativeness of roadway weather
  • Physical relationship between pavement and
    atmosphere

18
University of North DakotaRoad Weather Field
Research Facility
Video Cameras
15-m Tower
Visible Infrared Pavement Cameras
Net Radiometers
Air temperature, Humidity, and Winds at 2, 5, 10,
15 meters
Road Surface
Video Disdrometers
6-m Towers
Barometric Pressure
Surface Boundary Layer Turbulence Spectra Probes
Ultra-sonic Snow Depth Array
Pavement Temperature Precipitation
Precision Precipitation Gauge
Total Precipitation Sensor
Sub-surface Temperatures
Freeze Point Chemical Concentration
available July 2006
http//stwrc.rwic.und.edu/fieldsite/live
19
Acknowledgements
  • Research support is provided by the North Dakota
    Department of Transportation and Federal Highway
    Administration under Contract ITS-9999 (174)
  • Special recognition of the support provided by
    the North Dakota Department of Transportation
    Office of Maintenance Engineering

20
3980 Campus RoadUniversity of North
DakotaGrand Forks, North Dakota
58202http//stwrc.rwic.und.edu701-777-2479
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