Numerical models that combine weather forecasting and atmospheric chemistry are here
referred to as chemical weather forecasting models. Eighteen operational chemical weather …

Empirical rainfall thresholds are tools to forecast the possible occurrence of rainfall-induced
shallow landslides. Accurate prediction of landslide occurrence requires reliable thresholds …

We developed a solar flare prediction model using a deep neural network (DNN) named
Deep Flare Net (DeFN). This model can calculate the probability of flares occurring in the …

Atmospheric rivers (ARs) are global phenomena that transport water vapor horizontally and
are associated with hydrological extremes. In this study, the Atmospheric River Skill …

This article describes a software suite that can be used for objective evaluation of tropical
cyclones (TCs) in gridded climate data. Using cyclone trajectories derived from 6-hourly …

We developed an operational solar flare prediction model using deep neural networks,
named Deep Flare Net (DeFN). DeFN can issue probabilistic forecasts of solar flares in two …

A six‐year climatology of radiation fog has been compiled at two sites: the Research Centre
for the Lower Atmosphere (CIBA, Spain) and the Cabauw Experimental Site for Atmospheric …

This study systematically evaluates the accuracy, trends, and error sources for western North
Pacific tropical cyclone intensity forecasts between 2005 and 2018. The study uses …

In recent years, it has been found that the Precipitable Water Vapor (PWV) time series
derived from ground-based GPS measurements can be used in to forecast precipitation in …

Abstract In the Carrara Marble Basin (CMB; Apuan Alps, Italy) quarrying has accumulated
widespread and thick quarry waste, lying on steep slopes and invading valley bottoms. The …