River water levels prediction using gridded rainfall

Abstract

The purpose of this research is to predict water levels of rivers without building detailed geo logical models. Sparse prediction was applied to rainfall sensors, water level sensors and gridded rainfall data. Gridded rainfall brings better accuracy on water level prediction. Moreover, 2D Fused Lasso shows better results to normal Lasso.