Publications de Timothy Hugh Raupach

Reconstructing the Drizzle Mode of the Raindrop Size Distribution Using Double-Moment Normalization

Commonly used disdrometers tend not to accurately measure concentrations of very small drops in the raindrop size distribution (DSD), either through truncation of the DSD at the small-drop end or because of large uncertainties on these measurements. Recent ...

AMER METEOROLOGICAL SOC2019

High-Resolution Simulation Study Exploring the Potential of Radars, Crowdsourced Personal Weather Stations, and Commercial Microwave Links to Monitor Small-Scale Urban Rainfall

Alexis Berne, Timothy Hugh Raupach

Many applications in urban areas require high-resolution rainfall measurements. Typical operational weather radars can provide rainfall intensities at 1-km(2) grid cells every 5min. Opportunistic sensing with commercial microwave links yields path-averaged ...

2018

Rainfall retrieval with commercial microwave links in Sao Paulo, Brazil

Timothy Hugh Raupach

In the last decade there has been a growing interest from the hydrometeorological community regarding rainfall estimation from commercial microwave link (CML) networks. Path-averaged rainfall intensities can be retrieved from the signal attenuation between ...

COPERNICUS GESELLSCHAFT MBH2018

Objective Characterization of Rain Microphysics: Validating a Scheme Suitable for Weather and Climate Models

Alexis Berne, Timothy Hugh Raupach

Improving the atmospheric component of hydrological models is beneficial for applications such as water resources assessment and hydropower operations. Within this goal, precise characterization of rain microphysics is key for climate and weather modeling, ...

2018

Retrieval of the raindrop size distribution from polarimetric radar data using double-moment normalisation

Alexis Berne, Timothy Hugh Raupach

A new technique for estimating the raindrop size distribution (DSD) from polarimetric radar data is proposed. Two statistical moments of the DSD are estimated from polarimetric variables, and the DSD is reconstructed using a double-moment normalisation. Th ...

Copernicus GmbH2017

Invariance of the Double-Moment Normalized Raindrop Size Distribution through 3D Spatial Displacement in Stratiform Rain

Alexis Berne, Timothy Hugh Raupach

Double-moment normalization of the drop size distribution (DSD) summarizes the DSD in a compact way, using two of its statistical moments and a "generic'' double-moment normalized DSD function. Results are presented of an investigation into the invariance ...

Amer Meteorological Soc2017

Multifractal Analysis of Snowfall Recorded Using a 2D Video Disdrometer

Alexis Berne, Timothy Hugh Raupach

Universalmultifractal (UM) analysiswas used to investigate the scaling properties of snowfall at high temporal and spatial resolutions. Snowfall datawere recorded using a 2Dvideo disdrometer (2DVD) in the SwissAlps. Six 1-h-long periods of snowfall, half i ...

American Meteorological Society2017

Spatial interpolation of experimental raindrop size distribution spectra

Alexis Berne, Timothy Hugh Raupach

We present a new approach for spatial interpolation of experimental raindrop size distribution (DSD) spectra. The DSD is fundamental to the study and understanding of precipitation and its monitoring and modelling. It is measured insitu using disdrometers ...

Wiley-Blackwell2016

Small-Scale Variability of the Raindrop Size Distribution and Its Effect on Areal Rainfall Retrieval

Alexis Berne, Timothy Hugh Raupach

The drop size distribution (DSD) describes the microstructure of liquid precipitation. The high variability of the DSD reflects the variety of microphysical processes controlling raindrop properties and affects the retrieval of rainfall. An analysis of the ...

American Meteorological Society2016

Variability of the raindrop size distribution across scales in Mediterranean rainfall : characterisation and stochastic simulation

Timothy Hugh Raupach

Measurement of rain is made difficult by the high variability of the precipitation process, down to raindrop scale. Point measurements are generally accurate, but their lack of spatial representativeness is a significant limitation. Weather radars indirect ...

EPFL2016