The machine-learning “black box” models, which lack interpretability, have limited
application in landslide susceptibility mapping. To interpret the black-box models, some …

The acquisition of accurate precipitation data is essential for analyzing various hydrological
phenomena and climate change. Recently, the Global Precipitation Measurement (GPM) …

The increased use of observations of rainfall microphysics from disdrometers to produce
more accurate rainfall kinetic energy estimates requires closer analysis of measurement …

The unavailability of sufficient data at higher elevations causes many uncertainties in
research on cold regions. This study considers a cryosphere-hydrology observation system …

We use a suite of quantitative precipitation estimates (QPEs) derived from satellite, radar,
and surface observations to derive precipitation characteristics over the contiguous United …

Accurate and real‐time precipitation estimation is a challenging task for current and future
spaceborne measurements, which is essential to understand the global hydrological cycle …

A physically-based framework to address the underestimation and missed detection errors
in Quantitative Precipitation Estimates (QPE) from Global Precipitation Measurement (GPM) …

An Investigation of Warm Rainfall Microphysics in the Southern Appalachians: Orographic
Enhancement via Low-Level Seeder–Feeder Interactions in: Journal of the Atmospheric …

Information of vertical rain structure is important for accurate quantitative precipitation
estimation from weather radars and space-borne radars. In this paper, some characteristics …

Investigation of the altitude of maximum precipitation (AMP) and the factors that determine
this height supports the understanding of vertical precipitation distribution in mountains …