The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology
The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology
Abstract When fitting statistical models to variables in geoscientific disciplines such as hydrology, it is a customary practice to stratify a large domain into multiple regions (or regimes) and study each region separately. Traditional wisdom suggests that models built for each region separately will have higher performance because of homogeneity …