Clustering has primarily been used as an analytical technique to group unlabeled data for
extracting meaningful information. The fact that no clustering algorithm can solve all …

Soil moisture as a key variable of land processes greatly influences the weather and climate.
This study investigates the observed linkage between Tibetan Plateau (TP) spring soil …

The machine learning algorithms application in atmospheric sciences along the Earth
System Models has the potential of improving prediction, forecast, and reconstruction of …

Abstract The South Pacific region is an area affected by characteristic precipitation patterns
undergoing extreme events such as tropical cyclones and droughts. First, a daily weather …

To better understand cloud–precipitation relationships, we extend the concept of cloud
regimes developed from two-dimensional joint histograms of cloud optical thickness and …

Identification and understanding of persistent regional heat wave are essential for adaption
and alleviation of its severe effects on human health and ecological environment …

Persistent extreme precipitation covering a large area usually causes severe flooding
disasters in China, but how to depict it and what are the possible causes are still open …

Precipitation extremes driven by the El Niño–Southern Oscillation (ENSO) are one of the
critical ways in which the ENSO impacts the global climate, specifically in the tropical Pacific …

This dissertation explores the multiscale climate variability of the Indo-Pacificregion through
application of a variety of techniques including k-means clusteranalysis, empirical …

Se caracterizan los patrones de precipitación asociados a extremos de caudal medio
mensual en los principales ríos de la Provincia de Corrientes, Argentina (1980-2022). Se …