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Pavement Precipitation Accumulation

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Title: Pavement Precipitation Accumulation


1
Pavement Precipitation Accumulation
Presenter Mark Askelson University of North
Dakota Department of Atmospheric
Sciences/RWIC/STWRC
  • Precipitation Data Sources

2
Precipitation Data Sources
  • Primary sources
  • Surface observations
  • Radar
  • Satellite
  • Analyses/models

3
Precipitation Data Sources
  • Surface Gauges
  • Strengths
  • Accuracy (but wind contamination)
  • Weaknesslimited capacity for indicating snowfall
    in real time
  • ASOS Automated Surface Observing System
  • Tipping bucket gaugesnot presently useful for
    measuring snowfall.
  • Visibility ? snowfall rate (significant
    variability)
  • Manual intervention stations
  • ? Useful information, but not enough of them.

4
Precipitation Data Sources
  • ? North Dakota ASOS/AWOS stations.
  • ? Manual intervention stations circled.
  • ? Not shown (KRDRGF AFB, a manual intervention
    station).
  • ? Only some of these provide real time snowfall
    amounts.

ND ASOS/AWOS stations (from http//www.faa.gov/aso
s/map/nd.cfm).
5
Precipitation Data Sources
  • ? South Dakota ASOS/AWOS stations.
  • ? Manual intervention stations circled.
  • ? Not shown (KRCAEllsworth AFB, a manual
    intervention station).
  • ? Only some of these provide real time
    snowfall amounts.

SD ASOS/AWOS stations (from http//www.faa.gov/aso
s/map/nd.cfm).
6
Precipitation Data Sources
  • AWOS Automated Weather Observing System
  • AWOSIII-P has a precipitation identification
    sensor, but does not record amounts.
  • RWIS Road Weather Information System
  • DOT
  • 14 in North Dakota 35 in South Dakota
  • Indicate precipitation occurrence

7
Precipitation Data Sources
  • RAWS Remote Automated Weather Stations
  • United States Forest Service
  • 9 in North Dakota 5 in South Dakota
  • Uncertain regarding utility for snowfall
    estimation
  • Citizen Weather Observer Program (CWOP)
  • Forecast Systems Laboratory
  • Private weather stations
  • PRIMENet
  • EPA and NPS
  • 1 station in North Dakota
  • Uncertain snowfall measurement potential

8
Precipitation Data Sources
  • High Plains Regional Climate Center Automated
    Weather Data Network (HPRCC-AWDN)
  • NDAWN North Dakota Agricultural Weather Network
  • ? NDSU
  • ? 55 in North Dakota
  • ? Tipping bucket rain gauge
  • South Dakota
  • ? 11 in South Dakota
  • ? Tipping bucket rain gauges

9
Precipitation Data Sources
  • South Dakota Television Stations
  • KOTA-TV WeatherNet
  • KELO WeatherNet
  • KMEG Weather Net
  • Uncertain snowfall measurement utility

10
Precipitation Data Sources
  • Non real-time networks
  • NWS Cooperative Observer Program
  • NOAA/NWS 15 Minute Cooperative Observer Program
  • ? 55 in North Dakota 40 in South Dakota
  • ? Weighing rain gauges.
  • North Dakota Atmospheric Resource Board
    Cooperative Observer Network
  • ? Principally concerned with rainfall.
  • ? Operates from April to September.

11
Precipitation Data Sources
  • Cost of setting up surface gauges for South
    Dakota
  • 75,885 square miles
  • Yankee Sensor
  • Estimated 10,000 each (for sensor alone)
  • Minimizes wind contamination of amounts
  • Estimates
  • 1 gauge/900 mi2 850,000
  • 1 gauge/400 mi2 1.9 million
  • 1 gauge/100 mi2 7.6 million
  • Infrastructure and maintenance?

12
Precipitation Data Sources
  • Radar
  • Strengths
  • Good spatial and temporal coverage
  • Park River Basin example courtesy of Scott Kroeber

13
Precipitation Data Sources
  • Weaknesses
  • Accuracy
  • 40-50 error common for storm total accumulation
  • Can reach 100 for lt 1 snowfalls.
  • Overshooting
  • 0.5 beam reaches 5.0 km at 225 km range.

14
Precipitation Data Sources
  • Ground Clutter and Anomalous Propagation
  • Ground Clutter Commonly observed return owing to
    radar beam bouncing off buildings, towers, etc.
  • Anomalous Propagation Radar beam bends downward
    towards the Earth more than normalproduces
    anomalous returns to the radar.

15
Precipitation Data Sources
  • Satellite
  • StrengthsExpands coverage area.
  • Weaknesses
  • Been applied more to rain than snow.
  • Probably more effective for heavy snow (identify
    cloud patterns)
  • May not resolve light snow (clouds cannot be
    discriminated from snow on the ground).
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