Abstract Machine learning (ML) models, particularly decision tree (DT)-based algorithms,
are being increasingly utilized for flood susceptibility map**. To evaluate the advantages …

Sub-daily precipitation extremes could intensify with temperature at a higher rate than the
scaling for daily precipitation extremes, posing increasing risks to natural ecosystem and …

Assessing how increasing greenhouse gas concentrations may modify regional climates is
an ongoing challenge. Relatively little work has examined how climate change may …

Climate extremes are becoming more frequent with global climate change and have the
potential to cause major ecological regime shifts. Along the northern Gulf of Mexico, a …

Hourly precipitation is important in climate research because it is closely related to
convective synoptic systems and short-term weather forecasts. In this study, characteristics …

A simple, non-negotiable truth of ensuring success in the restoration of ecological engineers
(EE) and the functions they support is the need for the focal species to survive, grow and …

Summary The Mississippi River Delta (MRD) is a global natural and economic asset and
socio-economic hub with an extensive fishery, major petrochemical complexes, and the …

The demands on aquaculture for high-value products, like the eastern oyster (Crassostrea
virginica), continue to rise. To aid commercial production, hatcheries mate diploid females …

Precipitation events should be characterized using data with high temporal resolution, such
as hourly precipitation. Event-based evaluation can provide more information than the …

Annual trends in extreme hourly precipitation time series were examined at 50 first-order
weather stations across the southeastern United States from 1960 to 2017. Results indicated …