This contribution provides a review of the most recent wavelet applications in the field of
earth sciences and is devoted to introducing and illustrating new wavelet analysis methods …

Extreme hydrological events are often triggered by exceptional co-variations of the relevant
hydrometeorological processes and in particular by exceptional co-oscillations at various …

Glaciers and Glaciation is the classic textbook for all students of glaciation. Stimulating and
accessible, it has established a reputation as a comprehensive and essential resource. In …

Ongoing global climatic change initiated by the anthropogenic release of carbon dioxide is a
matter of intense debate. We focus both on the impact of these climatic changes on the …

Artificial neural network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) have
an extensive range of applications in water resources management. Wavelet transformation …

The standardized precipitation evapotranspiration index (SPEI) at three different time scales
(ie, SPEI-3, SPEI-6, and SPEI-12) from six meteorology stations located in Turkey are …

The current study demonstrates the potential use of wavelet neural network (WNN) for river
flow modeling by developing a rainfall-runoff model for Malaprabha basin in India. Daily …

Identifying the impact of climate change and human activities on rainfall-runoff relationship
in the Three-River Headwaters (TRH) region is essential for water source conservation …

The determination of the temporal variability of water resources is of high importance with
respect to long-term water policy. This contribution provides a wavelet-based global analysis …

Studying temporal patterns of hydrology and water quality can assist in understanding
hydrological processes, improving hydrological modeling, and water quality monitoring …