Gabriele Villarini

TL;DR: In this paper, the authors examined temporal trends in flood peaks and abrupt changes in the mean and/or variance of flood peak distributions using change point analysis using the nonparametric Pettitt test.

TL;DR: In this paper, the authors used a large data set (more than six years) of rainfall measurements from a dense network of 50 rain gauges deployed over an area of about 135 km2 in the Brue catchment (southwestern England) in the UK.

TL;DR: In this paper, the authors look at observations from the central USA and report that there has been an increase in the frequency of flooding, but little evidence for larger flood peaks, while climate models predict an increase of intense rainfall events due to a warmer atmosphere retaining more moisture.

TL;DR: In this article, the GFDL hurricane model and HiRAM high-resolution atmospheric model were used to estimate the number of tropical cyclones globally in a warmer late-twenty-first-century climate.

TL;DR: In this paper, the authors provide an extensive literature review of the principal sources of error affecting single polarization radar-based rainfall estimates, including radar miscalibration, attenuation, ground clutter and anomalous propagation, beam blockage, variability of the Z-R relation, range degradation, vertical variability of precipitation system, vertical air motion and precipitation drift.