Estimating Watershed-Scale Precipitation
One of the most important input datasets required to run a watershed model is precipitation. Therefore, I worked on improving precipitation input estimates for watershed models by combining gauge and radar estimates on a watershed level. Gauge estimates are considered to be ground truth while radar estimates are derived from remote sensing devices being more susceptible to error. However, gauge estimates only represent a point, which may be far from the study area, while radar estimates cover the entire study area. I used GIS for distribution methods like Kriging to eliminate spatial compatibility problems between gauge and radar estimates. Then, we introduced a method based on streamflow observations to combine gauge and radar estimates on a daily time step.
Figure: Precipitation Radar Grids and Gauges for the Eno Watershed*
*Ercan, M. B. and J. L. Goodall (2013),
Estimating watershed-scale precipitation by combining gauge and radar derived observations.,
Journal of Hydrologic Engineering (ASCE), 18(8), 983-994.