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

defaultInterpolationParams()

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).

  • debug [= FALSE]: Boolean flag to show extra console output.

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, 214–251. 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.

Author

Miquel De Cáceres Ainsa, CREAF