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Functional Testing of Surface Weather Instruments and Systems

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... of measurement within a network; ... Canadian Marine Weather Network. WMO/TECO 2005. 10. Testing Program ... marine weather network: wind and pressure sensors; ... – PowerPoint PPT presentation

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Title: Functional Testing of Surface Weather Instruments and Systems


1
Functional Testing of Surface Weather
Instruments and Systems
  • -

Rodica Nitu Meteorological Service of Canada
2
Summary
  • Principles
  • Test facilities
  • Current projects

3
Quality Meteorological Data
  • performance of measurement of the instruments
    (accuracy, resolution, response time, etc)
  • variability of measurement within a network
  • changes in the data sets when using sensors with
    different operating principles to measure the
    same weather element
  • how well a sensor operates in the specific
    environmental and climatological conditions,
    across the network?

4
Functional testing
  • The testing in the outdoor, natural environment
    where instruments are expected to operate over a
    wide variety of meteorological conditions and
    climatic regimes. (WMO, Guide8)
  • Goals
  • Data quality
  • System reliability

5
Challenges
  • Canadian territory vast size
  • Canadian climate variable and diverse
  • Meteorological equipment rarely approaches a
    commodity definition.

6
Challenges
  • Monitoring programs are major capital
    expenditures and the procurement decisions
    require sound information.
  • Purchases take place within the Government of
    Canada procurement system which is highly
    structured, process-bound.

7
Canadian Weather Monitoring Networks
  • In Canada the meteorological sensors and systems
    operate in a set of observing networks organized
    according to the primary purpose of the data
    collected
  • Public weather,
  • Aviation,
  • Reference climate,
  • Marine,
  • Upper air.

8
Reference Climate Network
9
Canadian Marine Weather Network
10
Testing Program
  • Fulfills two critical functions
  • determining the best mix of instruments and
    methods of observation that will meet data
    quality needs with optimal cost/performance
    ratios.
  • developing the knowledge base needed to support
    an effective life cycle management program
    identifying and managing potential risks.

11
MSC Test Sites
  • St. Johns, Newfoundland heavy precipitation,
    high wind speeds, fog, and freezing rain.
  • Iqaluit, Nunavut arctic conditions such as
    extreme cold, ice crystals.
  • Egbert, Ontario continental climate regime.
  • Wiarton, Ontario heavy snowfall conditions.
  • Bratts Lake, Saskatchewan continental climate.
  • Stony Plain, Alberta operational testing of
    upper air systems and radiosondes.
  • Burlington, Ontario testing marine weather
    instruments

12
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13
St. Johns Newfoundland
  • Site of the 1994 WMo intercomparisons of present
    weather sensors.
  • very active weather
  • ideal conditions for testing the performance and
    the performance limits of any meteorological
    instrument
  • fog
  • freezing rainstorms.

14
  • After the freezing rainstorm
  • St. Johns, February 2005

15
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16
Iqaluit, Nunavut
  • Established in 2004
  • South-eastern arctic, on Baffin Island.
  • Strong arctic storms with harsh temperatures,
    strong winds, heavy precipitation, blowing snow,
    low visibility, freezing rain.
  • Has potential to become a base for major research
    projects.
  • 2007-2008 Storm Studies in the Arctic project.

17
Iqaluit 2004
18
Current Projects
  • reference climate and surface weather networks
    wind, pressure, temperature, and humidity
    sensors
  • marine weather network wind and pressure
    sensors
  • evaluation of automated systems for Nav Canada
    and Department of Defense.
  • development of an algorithm for deriving snowfall
    amount data from snow depth measurements.

19
Summary
  • Meteorological Service of Canada functional
    testing program
  • A quality management system
  • Data quality
  • System reliability
  • Pragmatic approach to managing users
    expectations.

20
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