Rainfall, or more generally the precipitation process (flux), is a clear example of chaotic
variables resulting from a highly nonlinear dynamical system, the atmosphere, which is …

Many multi-site stochastic models have been proposed for the generation of daily
precipitation, but they generally focus on the reproduction of low to high precipitation …

Forecasting the timing of breakup ice jams in rivers is crucial for early flood warning and
effective management in cold regions where rising river flows can lead to significant …

Stochastic weather generators can generate very long time series of weather patterns, which
are indispensable in earth sciences, ecology and climate research. Yet, both their potential …

Climate change effects on subdaily rainfall (from 5 min to a few hours) can hardly be
measured in mid‐latitude climates due to the high natural variability of the precipitation …

The study proposes a statistical downscaling procedure for regional rainfall. In the
multistage procedure, the spatial downscaling stage using Relevance Vector Machine …

Precipitation is influential in determining runoff at different scales of analysis, whether in
minutes, hours, or days. This paper proposes the use of a multisite multivariate model of …

(1) Background: river ice has a significant impact on nearly 66% of rivers in the Northern
Hemisphere. Ice builds up during winter when the flow gradually reduces to its lowest level …

The hidden Markov framework is adapted to construct a compelling model for simulation of
sub-daily rainfall, capable of capturing important characteristics of sub-daily rainfall well …

The Upper Citarum River Basin is the main catchment area of the Saguling Dam, the most
upstream of three cascade dams in the Citarum River Basin. During the last 30 years, rapid …