Here we review methods used for probabilistic analysis of extreme events in
Hydroclimatology. We focus on streamflow, precipitation, and temperature extremes at …

Understanding the spatial and temporal occurrences of extreme rainfall events and their
changes is crucial for reducing the risk associated with extreme events, especially under …

Intensity–duration–frequency (IDF) curves are widely used in the hydrological design of
hydraulic structures. This paper presents a wide review of methodologies for constructing …

Climate models are crucial for assessing climate variability and change. A reliable model for
future climate should reasonably simulate the historical climate. Here, we assess the …

What elements should a parsimonious model reproduce at a single scale to precisely
simulate rainfall at many scales? We posit these elements are:(a) the probability of dry and …

Global gridded precipitation datasets have been developed using rain gauges, satellite
observations, and data assimilation techniques to fulfill the need in regions with a limited …

The development of accurate precipitation products of high spatio-temporal coverage is
crucial for a wide range of applications. In this context, precipitation data merging (PDM) …

Accurate snowfall measurements are necessary for meteorology, hydrology, and climate
research. Typical uses include creating and calibrating gridded precipitation products, the …

The research community devotes a lot of time and resources toward monitoring historic
climate changes, tracking current impacts, and modeling future risks in the United States. But …

Abstract The Maritime Continent (MC) is a region subject to high impact weather (HIW)
events, which are still poorly predicted by numerical weather prediction (NWP) models. To …