Improving Streamflow Prediction for Hydrological Drought Forecasting Through a Machine Learning Approach: A Case Study of the Rhine River, the Netherlands Preprint

Shibeshi, Tefera Brhanu, van Andel Schalk, Jan, Melesse, Assefa M et al. Improving Streamflow Prediction for Hydrological Drought Forecasting Through a Machine Learning Approach: A Case Study of the Rhine River, the Netherlands . 10.2139/ssrn.4752992

cited authors

  • Shibeshi, Tefera Brhanu; van Andel Schalk, Jan; Melesse, Assefa M; Bertini, Claudia

authors

keywords

  • 37 Earth Sciences
  • 3701 Atmospheric Sciences
  • 3707 Hydrology
  • Bioengineering
  • Machine Learning and Artificial Intelligence
  • Networking and Information Technology R&D (NITRD)

Digital Object Identifier (DOI)