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Section SS index451-459 of 1376 terms

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  • site characterization—1. A general term applied to the investigation activities at a specific location that examine natural phenomena and human-induced conditions important to the resolution of environmental, safety, and water-resource issues. 2. The program of exploration and research, both in the laboratory and in the field, undertaken to establish the geologic conditions and the ranges of the geologic parameters of a particular site relevant to the program. It includes borings, surface excavations, excavation of exploratory shafts, limited subsurface lateral excavations and borings, and in situ testing at depths needed to determine the suitability of the site for a geologic repository, but does not include preliminary borings and geophysical testing needed to decide whether site characterization should be undertaken.
  • site of station—The location of a meteorological station from the point of view of geography, orientation, and position of shelter and various instruments to include latitude, longitude, and elevation.
  • site—See site of station.
  • Six's thermometer—A combination maximum thermometer and minimum thermometer.
    The tube is shaped in the form of a “U” having a bulb at either end. One bulb is filled with a clear liquid that expands or contracts with temperature variation, forcing before it a short column of mercury having iron indices at either end. The indices remain at the extreme positions reached by the mercury column, thus indicating the maximum and minimum temperatures. The indices can be reset with the aid of a magnet.
  • size parameter—The ratio of the size of a spherical scattering particle to the wavelength of the radiation being scattered, that is, αあるふぁ = πぱいd/λらむだ, where d is the diameter of the particle, and λらむだ is the wavelength of the incident radiation.
    Mie theory describes the general process of extinction, scattering, and absorption of spherical particles as a function of the size parameter and refractive index. For αあるふぁ < ≈0.1, the Rayleigh scattering approximation becomes valid, whereas for αあるふぁ > ≈100, geometrical optics becomes valid.
  • skavler—A Norwegian word generally equivalent to sastrugi.
  • skew T–logp diagram—An emagram (temperature and logarithm of pressure as coordinates) with the isotherms rotated 45° clockwise to produce greater separation of isotherms and dry adiabats. See thermodynamic diagram
  • skewness—Departure from symmetry.
    In statistics, the coefficient of skewness γがんま1 of a random variable or of a probability distribution is defined as γがんま1 = μみゅー3/σしぐま3, where μみゅー3 is the third moment about the mean and σしぐま is the standard deviation. Where γがんま1 > 0 the typical curve trails off toward the right and hence is said to be skewed to the right; when γがんま1 < 0 the longer tail is on the left, and the curve is said to be skewed to the left.
  • skill score—See skill.
  • skill—A statistical evaluation of the accuracy of forecasts or the effectiveness of detection techniques.
    Several simple formulations are commonly used in meteorology. The skill score (SS) is useful for evaluating predictions of temperatures, pressures, or the numerical values of other parameters. It compares a forecaster's root-mean-squared or mean-absolute prediction errors, Ef, over a period of time, with those of a reference technique, Erefr, such as forecasts based entirely on climatology or persistence, which involve no analysis of synoptic weather conditions:

    If SS > 0, the forecaster or technique is deemed to possess some skill compared to the reference technique. For binary, yes/no kinds of forecasts or detection techniques, the probability of detection (POD), false alarm rate (FAR), and critical success index (CSI) may be useful evaluators. For example, if A is the number of forecasts that rain would occur when it subsequently did occur (forecast = yes, observation = yes), B is the number of forecasts of no rain when rain occurred (no, yes), and C is the number of forecasts of rain when rain did not occur (yes, no), then

    For perfect forecasting or detection, POD = CSI =1.0 and FAR = 0.0. POD and FAR scores should be presented as a pair.

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