Knowledge-Guided Machine Learning for Interpretable Operational Flood Forecasting

20240 citationsPreprintgold Open Access

Authors

Zachary P. McEachran · University of Minnesota System

Rahul Ghosh · University of Minnesota System

Arvind Renganathan · University of Minnesota System

Somya Sharma · University of Minnesota

Lindsay Kelly · University of Minnesota

Michael Steinbach · University of Minnesota System

John L. Nieber

Abstract

We present a knowledge-guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main components: inverse and forward models. The inverse mod

Topics & Keywords

Hydrology and Watershed Management Studies Hydrological Forecasting Using AI Flood Risk Assessment and Management

UN Sustainable Development Goals

Climate action

Publication Details

DOI: 10.22541/essoar.172900696.63551165/v1

Field-Weighted Citation Impact: 0.00