Recent years have witnessed considerable developments in multiple fields with the potential
to enhance our capability of forecasting pluvial flash floods, one of the most costly …

Applications of weather radar data to complex orography are manifold, as are the problems.
The difficulties start with the choice of suitable locations for the radar sites and their …

Pysteps is an open-source and community-driven Python library for probabilistic
precipitation nowcasting, that is, very-short-range forecasting (0–6 h). The aim of pysteps is …

Accurate and timely estimation of precipitation is critical for issuing hazard warnings (eg, for
flash floods or landslides). Current remotely sensed precipitation products have a few hours …

This article presents a 13‐year hail climatology for Switzerland based on volumetric radar
reflectivity. Two radar‐based hail detection products that are used operationally at …

In this paper, a three-dimensional convolutional neural network model (3DCNN) is proposed
to nowcast a short-lived, local convective storm event by using unique 3-D observations of …

Small scale rainfall variability is a key factor driving runoff response in fast responding
systems, such as mountainous, urban and arid catchments. In this paper, the spatial …

In this paper we present a non-stationary stochastic generator for radar rainfall fields based
on the short-space Fourier transform (SSFT). The statistical properties of rainfall fields often …

Why Are Radar Data so Difficult to Assimilate Skillfully? in: Monthly Weather Review Volume
148 Issue 7 (2020) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo …

Improving Radar Echo Lagrangian Extrapolation Nowcasting by Blending Numerical Model
Wind Information: Statistical Performance of 16 Typhoon Cases in: Monthly Weather Review …