Tag: hydrology

A new study in Water Resources Management shows that Random Forest and other machine learning models can forecast daily suspended ...

Researchers have developed a hybrid CNN-XGBoost machine learning framework that sharply improves satellite rainfall estimates over the data-sparse interior of ...

A new global model tracking macroplastic across 285 river basins finds that roughly 73 percent of plastic emitted on land ...

A Utrecht University study using a one kilometer resolution global groundwater model classifies the world's aquifers by their ability to ...

A global analysis of nearly 19,000 catchments shows that atmospheric drying trends are not transmitted uniformly into river-flow drought, with ...

A Nature Water perspective argues that global groundwater models can diagnose depletion but must become integrated, process-based frameworks to guide ...

A new deep learning framework for river flow forecasting puts flood peaks, uncertainty, and interpretability at the center of model ...

The first national-scale systematic review of Kenyan soil moisture research finds that remote sensing dominates the field while the drought-prone ...

A new lightweight deep learning model called BOA-LSTM combines Bayesian optimization and attention mechanisms to deliver faster and more accurate ...

New research shows that depletion of moisture in deep soil layers, rather than surface drought alone, drives severe and lasting ...