Contents
When to use spatial interpolation of rainfall data?
For a large watershed scale, the spatial variability of rainfall needs to be taken into account instead of using areal average rainfall as the input for the model. In this context, it is necessary to gain insight into the day-to-day spatial variability of watershed discharge, groundwater level and soil moisture content (Schuurmans et al., 2007a).
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.
How to interpolate dissolved oxygen levels in water?
Exploring your data is an important first step of nearly every analytical workflow. Then, using these charts, you’ll determine whether the data is viable for an interpolation workflow. By using a line chart to see how dissolved oxygen levels change over time, you can choose appropriate time windows for the analysis.
When to use line and histogram charts in interpolation?
First, you’ll use line and histogram charts to explore the properties and characteristics of your data. Exploring your data is an important first step of nearly every analytical workflow. Then, using these charts, you’ll determine whether the data is viable for an interpolation workflow.
How is the accuracy of rainfall data determined?
One approach is to measure associated ancillary data, which have been available since the late 1960s via ground-based meteorological radars and by remote sensing devices located on satellite platforms. The accuracy and consistency of these indirect processes for hydrological purposes still remain to be determined.
How are range-corrected radar products used in hydrological applications?
From 2000s onwards, standard range-corrected radar products proved to be sufficiently informative to capture the spatial variability of rainfall to be used in hydrological applications (Schuurmans et al., 2007a).
How are rain gauges used for climatic data?
Among these climatic data, the amount of precipitation, traditionally collected using rain gauges or weather stations, is a very important parameter, which has a direct impact on runoff or watershed discharge (Obled et al., 1994).