The Potential for Orographic Biases in Jan Mayen Gauge Measurements Validation of High-Latitude Ocean Precipitation Grant W. Petty Sarah Davis Longtao Wu University of Wisconsin-Madison - PowerPoint PPT Presentation

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The Potential for Orographic Biases in Jan Mayen Gauge Measurements Validation of High-Latitude Ocean Precipitation Grant W. Petty Sarah Davis Longtao Wu University of Wisconsin-Madison

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Title: The Potential for Orographic Biases in Jan Mayen Gauge Measurements Validation of High-Latitude Ocean Precipitation Grant W. Petty Sarah Davis Longtao Wu University of Wisconsin-Madison


1
The Potential for Orographic Biases in Jan Mayen
Gauge MeasurementsValidation of High-Latitude
Ocean PrecipitationGrant W. PettySarah
DavisLongtao WuUniversity of Wisconsin-Madison
2
Mid- and high-latitude islands with existing WMO
stations neglected resource?
Thorshavn
Jan Mayen
Nikolskaya
3
WMO stations on mid- and high-latitude islands
  • Unlike Morrissey's tropical atoll stations, these
    islands are neither very small nor very flat.
  • Issues with respect to use as validation for
    ocean precipitation
  • Accuracy of measurements of local precipitation
  • Undercatch of snowfall, especially when windy
  • Representativeness with respect to surrounding
    open ocean
  • Orographic enhancement or rain shadows
  • Frictionally induced convergence
  • Differential heating

4
Climatology of snow occurrence Northern Hemis.
Winter
5
Jan Mayen
6
Jan Mayen - corrected gauge values
  • Corrections by Daqing Yang accounts for
  • Gauge type and height above ground
  • Precipitation phase
  • Wind speed at time of precipitation
  • Temperature

7
Overview
  • At 71N, Jan Mayen is ideally situated to validate
    high latitude ocean precipitation.
  • For greater confidence in the detailed validation
    results, we are undertaking
  • Careful assessment of station biases relative to
    surrounding ocean (e.g., importance of local
    orographic suppression or enhancement of precip)
    using numerical model simulations.
  • Correction of gauge biases due to windsnow,
    etc., using methodology of Yang et al.

8
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9
WRF Model Simulations
  • Digitize topography to 50 m resolution
  • Configure WRF model with 3 nested grids 12.5,
    2.5, and 0.5 km
  • Utilize WSM6 explicit microphysics option
    (assessed as best of five bulk microphysics
    schemes for polar ocean precip by Wu and Petty,
    2009)
  • Run for several episodes of winter precip --
    initially Dec. 14, 2003.

10
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11
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12
Potential for Influence by Beerenberg (northeast
of station)
13
Conclusions
  • At 71N, Jan Mayen is ideally situated to validate
    high latitude ocean precipitation.
  • Initial results of numerical simulations suggest
    that local perturbations of the precipitation
    field are important only in the direct wake of
    Beerenberg, which lies to the northeast.
  • Climatological wind patterns associated with
    precipitation suggest that the gauge measurements
    are only rarely influenced by Beerenberg.
  • Correction of gauge biases due to windsnow,
    etc., using methodology of Yang et al., increase
    station totals by a few percent.

14
Recap of Ongoing Work
  • Acquire high resolution topography for Jan Mayen
    - done
  • Run mesoscale model simulations of precipitation
    events to assess orographic influences - nearly
    done.
  • Undertake similar assessment of additional
    islands having high potential - next step.
  • Funding permitting Site visits to assess gauge
    siting, maintenance, etc. Also, may place
    additional recording gauges to assess variability.

15
Additional High-Latitude Islands(2003 only)
Petty GPROF Wentz
Petty GPROF Wentz
Corr. Ratio
Corr. Ratio
Petty GPROF Wentz
Petty GPROF Wentz
Corr. Ratio
Corr. Ratio
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