Learn R Programming

meteoland (version 0.9.7)

defaultInterpolationParams: Default interpolation parameters

Description

Returns a list with the default parameterization for interpolation. Most parameter values are set according to Thornton et al. (1997).

Usage

defaultInterpolationParams()

Arguments

Value

A list with the following items (default values in brackets):

  • initial_Rp [= 140000]: Initial truncation radius.

  • iterations [= 3]: Number of station density iterations.

  • alpha_MinTemperature [= 3.0]: Gaussian shape parameter for minimum temperature.

  • alpha_MaxTemperature [= 3.0]: Gaussian shape parameter for maximum temperature.

  • alpha_DewTemperature [= 3.0]: Gaussian shape parameter for dew-point temperature.

  • alpha_PrecipitationEvent [= 5.0]: Gaussian shape parameter for precipitation events.

  • alpha_PrecipitationAmount [= 5.0]: Gaussian shape parameter for the regression of precipitation amounts.

  • alpha_Wind [= 3.0]: Gaussian shape parameter for wind.

  • N_MinTemperature [= 30]: Average number of stations with non-zero weights for minimum temperature.

  • N_MaxTemperature [= 30]: Average number of stations with non-zero weights for maximum temperature.

  • N_DewTemperature [= 30]: Average number of stations with non-zero weights for dew-point temperature.

  • N_PrecipitationEvent [= 5]: Average number of stations with non-zero weights for precipitation events.

  • N_PrecipitationAmount [= 20]: Average number of stations with non-zero weights for the regression of precipitation amounts.

  • N_Wind [= 2]: Average number of stations with non-zero weights for wind.

  • St_Precipitation [= 5]: Number of days for the temporal smoothing of precipitation.

  • St_TemperatureRange [= 15]: Number of days for the temporal smoothing of temperature range.

  • pop_crit [= 0.50]: Critical precipitation occurrence parameter.

  • f_max [= 0.6]: Maximum value for precipitation regression extrapolations (0.6 equals to a maximum of 4 times extrapolation).

  • wind_height [= 10]: Wind measurement height (in m).

References

Thornton, P.E., Running, S.W., White, M. A., 1997. Generating surfaces of daily meteorological variables over large regions of complex terrain. J. Hydrol. 190, 214<U+2013>251. doi:10.1016/S0022-1694(96)03128-9.

De Caceres M, Martin-StPaul N, Turco M, Cabon A, Granda V (2018) Estimating daily meteorological data and downscaling climate models over landscapes. Environmental Modelling and Software 108: 186-196.

See Also

MeteorologyInterpolationData