Which is the best interpolation method for rainfall?
11Regarding the first group of spatial interpolation methods for measuring rainfall, the most frequently used deterministic methods are the Thiessen polygon (THI) and Inverse Distance Weighting (IDW), which are based on the location of the measured stations and on measured values.
How is spatial interpolation used in hydrological models?
Hydrological models often require a preliminary spatial interpolation as part of the modeling process. The success of spatial interpolation varies according to the type of model chosen, its mode of geographical management and the resolution used.
Which is the best method for spatial rainfall estimation?
In particular, the use of radar products in combination with multivariate geostatistical methods proved to be beneficial for spatial rainfall estimation (Velasco-Forero et al., 2009; Schiemann et al., 2011; Verworn et al., 2011).
How is the success of spatial interpolation determined?
The success of spatial interpolation varies according to the type of model chosen, its mode of geographical management and the resolution used. The quality of a result is determined by the quality of the continuous spatial rainfall, which ensues from the interpolation method used.
Which is the best method for spatial interpolation?
KRIGING • Developed by George Matheron as the “theory of regionalized variables” and D.G. Krige as an optimal method of interpolation for use in the mining industry • The basis of this technique is the rate at which the variance between points changes over space
How is spatial interpolation used in watershed management?
Watershed management and hydrological modeling require data related to the very important matter of precipitation, often measured using rain gauges or weather stations. Hydrological models often require a preliminary spatial interpolation as part of the modeling process.
Which is an example of point interpolation in msdis?
– Given a number of points whose locations and values are known, determine the value of other points at predetermined locations – Point interpolation is used for data which can be collected at point locations (e.g. weather station readings, spot heights, oil well readings, porosity measurements)