July 2025

Uncertainty assessment of rainfall-runoff simulation of the Reno Italy river basin under climate change scenarios

Papers

Uncertainty assessment is crucial for rainfall-runoff simulations in a typical watershed. Generally, three major sources of uncertainty are input forcing, model structure, and model parameterization. The uncertainty of hydrological modelling […]

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Assessment of tree-based boosting machine learning techniques for forecasting high-impact drought events across dry and hot future climate scenarios: A case study from Italy

Papers

In the realm of climate predictions and extremes, machine learning (ML) techniques serve as versatile tools not only for capturing climate patterns but also for climate change impact assessments. Generally,

Assessment of tree-based boosting machine learning techniques for forecasting high-impact drought events across dry and hot future climate scenarios: A case study from Italy Read More »

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