This paper's top-level goal is to provide an overview of research conducted in the many
academic domains concerned with forecasting. By providing a summary encompassing …

Many applications in decision making under uncertainty and probabilistic risk assessment
require the assessment of multiple, dependent uncertain quantities, so that in addition to …

Probabilistic modelling of drought events is a significant aspect of water resources
management and planning. In this study, popularly applied and several relatively new …

This paper highlights the usefulness of the minimum information and parametric pair-copula
construction (PCC) to model the joint distribution of flood event properties. Both of these …

Updating the appropriate risk measures is vital for management practice in reservoir
operation and offers new insights for decision-making. Water diversion may cause water …

Frost, particularly during the spring, is one of the most damaging weather phenomena for
vineyards, causing significant economic losses to vineyards around the world each year …

Multidimensional risk analysis in pipelines has been addressed in the literature in recent
years which has led to a greater understanding of risk in the decision context. A risk …

This paper proposes a global sensitivity analysis method applied to wind farm power output
estimation models. The relevance of a global sensibility analysis is that it allows …

Autonomous underwater gliders (AUGs) are effective platforms for oceanic research and
environmental monitoring. However, complex underwater environments with uncertainties …

The multivariate approach of flood characteristics such as flood peak flow (P), volume (V),
and duration (D) is much beneficial in recognizing the critical behaviour of flood episodes at …