Realistic stochastic simulation of hydro‐environmental fluxes in space and time, such as
rainfall, is challenging yet of paramount importance to inform environmental risk analysis …

High-resolution rainfall fields are a crucial tool for many hydrological and hydrodynamic
applications, including flood forecasting and urban drainage design. The aim of this study is …

The usefulness of satellite multi‐sensor precipitation (SMP) and other satellite‐informed
precipitation products in water resources modeling can be hindered by substantial errors …

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 …

This paper proposes a new object-based storm tracking algorithm, based upon TITAN
(Thunderstorm Identification, Tracking, Analysis and Nowcasting). TITAN is a widely-used …

Existing stochastic rainfall generators (SRGs) are typically limited to relatively small domains
due to spatial stationarity assumptions, hindering their usefulness for flood studies in large …

A novel stochastic downscaling approach to simulate ensembles of daily precipitation fields
using the Gaussian copula is presented. In contrast to many other statistical downscaling …

Rainfall accumulation depths over a given area are strongly dependent on the shape of the
storm together with its direction of advection. A method to produce design storms exhibiting …

Current design storms used in hydrological modeling, urban planning, and dimensioning of
structures are typically point-scale rainfall events with a steady rainfall intensity or a simple …

Four experiments examined whether representational gravity, in which memory for the
location of a previously-viewed target is displaced in the direction of implied gravitational …