Publication

Analysis of Rainfall Data by Simple Good Sense: is Spatial Statistics Worth the Trouble ?

Publications associées (33)

Improved rain rate estimation by combining radars, rain gauges and microwave links

The measurement of rainfall and its prediction at short lead times (often referred to as nowcasting) have important implications in hydrometeorology, and improving their accuracy may have an impact on various human activities. Indeed, the importance of now ...

EPFL2013

Coupling satellite rainfall estimates and machine learning techniques for flow forecast: application to a large catchment in Southern Africa

Anton Schleiss, José Pedro Gamito de Saldanha Calado Matos, Théodora Cohen Liechti

Accurate river flow forecasting is an important asset for stream and reservoir management, being often translated into substantial social, economic and ecological gains. This contribution aims at coupling satellite rainfall estimates and machine learning t ...

TPU2013

Improving Alpine Flood Prediction through Hydrological Process Characterization and Uncertainty Analysis

Cara Christine Tobin

Among the many challenges of Alpine flood prediction is describing complex, meteo-hydrological processes in a simplified, robust manner that can be easily integrated into operational forecasting. In this dissertation, improved methods to characterize these ...

EPFL2012

Flood management in the Upper Rhone River basin: from forecast to decision

Anton Schleiss, Javier García Hernández, Tristan Jonas Brauchli

The MINERVE project of flood forecast and management upstream from Lake Geneva is nowadays operational. It aims to protect against inundations in the Rhone Valley, through the Valais and Vaud Cantons. Two main objectives are expected. The first is the hydr ...

2011

A network of disdrometers to quantify the small-scale variability of the raindrop size distribution

Alexis Berne, André Studzinski, Joël Jaffrain

Insight into the spatial variability of the (rain) drop size distribution (DSD), and hence rainfall, is of primary importance for various environmental applications like cloud/precipitation microphysical processes, numerical weather modeling, and estimatio ...

American Geophysical Union2011

Improved interpolation of meteorological forcings and hydrologic implications for a Swiss alpine region

Andrea Rinaldo, Alexis Berne, Cara Christine Tobin, Marc Parlange, Ludovico Nicotina

This paper presents a comparative study on the mapping of temperature and precipitation fields in complex Alpine terrain. Its relevance hinges on the major impact that inadequate interpolations of meteorological forcings bear on the accuracy of hydrologic ...

2011

A collaborative demand forecasting process with event-based fuzzy judgements

Philippe Wieser, Naoufel Cheikhrouhou, Omar Ayadi

Mathematical forecasting approaches can lead to reliable demand forecast in some environments by extrapolating regular patterns in time-series. However, unpredictable events that do not appear in historical data can reduce the usefulness of mathematical fo ...

Elsevier2011

Trajectory generation for aircraft subject to dynamic weather uncertainty

Maryam Kamgarpour

Determining safe aircraft trajectories that avoid hazardous weather regions and other aircraft while efficiently using the available airspace is an important problem. Although tactical weather forecast maps have been available, their use in automated aircr ...

IEEE2010

Structuring and integrating human knowledge in demand forecasting: a judgemental adjustment approach

Naoufel Cheikhrouhou

Demand forecasting consists of using data of the past demand to obtain an approximation of the future demand. Mathematical approaches can lead to reliable forecasts in deterministic context through extrapolating regular patterns in time-series. However, un ...

Taylor & Francis2010

A new structured adjustment approach for demand forecasting

Naoufel Cheikhrouhou

Demand forecasting consists of using data of the past demand to obtain an approximation of the future demand. Mathematical approaches can lead to reliable forecasts in deterministic context, extrapolating regular patterns in series. However unpredictable e ...

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