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WEPS Climate Data (Cligen and Windgen)

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To stochastically simulate a measurement, one only needs to randomly select a ... WEPS does not use actual data. It uses statistically probable weather conditions. ... – PowerPoint PPT presentation

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Title: WEPS Climate Data (Cligen and Windgen)


1
WEPS Climate Data(Cligen and Windgen)
2
Climate Data
  • Climate Generation by Stochastic Process

A stochastic process is one involving a randomly
determined sequence of observations each of which
is considered as a sample of one element from a
probability distribution. By stochastically
simulating a process, such as weather, one can
recreate a series of weather data that
statistically mimic the historic record.
3
Consider a Normal Distribution where the Y-axis
represents the probability of some measurement
(height of people or wind speed) on the X-Axis.
4
If the probabilities are cumulated, the
distribution looks like the graph above. To
stochastically simulate a measurement, one only
needs to randomly select a probability and read
the corresponding measurement (i.e., wind speed)
from the X-Axis.
5
If random numbers are repeatedly selected and
measurements determined, eventually the original
historic wind speed distribution will be
recreated. Wind speeds typically follow a Weibull
Distribution.
6
Climate Data
  • Climate Generation by Stochastic Process
  • WEPS does not use actual data.
  • It uses statistically probable weather
    conditions.
  • This is more appropriate than using measured data
    (saves computer space) .
  • WEPS and WEPP use this type of data generation.
  • The model runs for 15 years to recreate the
    historical weather distribution and get a stable
    erosion estimate.
  • Two steps are used Statistics are calculated
    from historic data, then the data is
    stochastically generated.

7
Climate Data
  • WINDGEN Data
  • WINDGEN was developed specifically for WEPS.
  • The data comes from a quality-controlled hourly
    wind data sets.
  • There are 1304 stations in the 48 state data set.
  • Stations with less than 5 years of data were
    excluded to get a good representation of
    historical winds.

8
  • Wind (Windgen) Station Data
  • WindsgtThreshold - 8.0 m/s or 17.9 miles/hr, Units
    are in hours for the month.
  • Energy - kJ/m2/Month, stations over 1000 have
    fair risk of erosion.
  • Monthly Percent - Percent of the yearly wind
    energy.
  • Preponderance - Same as for WEQ
  • PWED - Prevailing Wind Erosion Direction (16
    points of the compass).

9
Climate Data
  • Climate Generation by Stochastic Process
  • Like Windgen, Cligen is a stochastic weather
    generator which produces daily estimates of
    precipitation, temperature, dewpoint, wind, and
    solar radiation for a single geographic point,
    using monthly parameters (means, SD's, skewness,
    etc.) derived from the historic measurements.

10
Climate Data
  • Temp, Rainfall, Radiation, Dew point are used.
  • Wind, speed and direction are not used)
  • CLIGEN
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