26 citations · 48 across the 2 of their papers we have counts for
2 papers
physics.ao-ph2023★ 22 cited
Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data
Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis +1
Gridded satellite precipitation datasets are useful in hydrological applications as they cover large regions with high density. However, they are not accurate in the sense that the…
cs.LG2023★ 26 cited
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale
Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis +1
Merging satellite products and ground-based measurements is often required for obtaining precipitation datasets that simultaneously cover large regions with high density and are mo…