Publications associées à Can satellite based pattern-oriented memory improve the interpolation of sparse historical rainfall records?

Publications associées (19)

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

Herein, machine learning (ML) models using multiple linear regression (MLR), support vector regression (SVR), random forest (RF) and artificial neural network (ANN) are developed and compared to predict the output features viz. specific capacitance (Csp), ...

Elsevier Science Sa2024

Nowcasting of High-Intensity Rainfall for Urban Applications in the Netherlands

Guo-Shiuan Lin, Marc Schleiss

Radar rainfall nowcasting has mostly been applied to relatively large (often rural) domains (e.g., river basins), although rainfall nowcasting in small urban areas is expected to be more challenging. Here, we selected 80 events with high rainfall intensiti ...

Amer Meteorological Soc2024

Robust discrete choice models with t-distributed kernel errors

Michel Bierlaire

Outliers in discrete choice response data may result from misclassification and misreporting of the response variable and from choice behaviour that is inconsistent with modelling assumptions (e.g. random utility maximisation). In the presence of outliers, ...

2023

Regional variation in the rural-urban fertility gradient in the developing world

Mathias Lerch

The study of regional trends in the rural-urban fertility gradient helps us to understand the pace of completion of the fertility transition and the geography of urban growth in the global South. We question whether the hypothesized inverted U-shaped evolu ...

2019

Population density and water balance influence the global occurrence of hepatitis E epidemics

Stéphane Joost, Anna Carratala Ripolles

In developing countries, the waterborne transmission of hepatitis E virus (HEV), caused by HEV genotypes 1 (HEV-1) and 2 (HEV-2), leads to the onset of large recurrent outbreaks. HEV infections are of particular concern among pregnant women, due to very hi ...

Nature Research2019

On flow duration curve modelling in Alpine catchments

Ana Clara Pereira Barbosa Santos

Mountain regions are considered to be the natural "water towers" of the world due to their importance as sources of many rivers. Reliable tools to estimate the availability and variability of streamflows in such regions are still rare. In this context, the ...

EPFL2019

Adaptive Path Interpolation for Sparse Systems: Application to a Simple Censored Block Model

Nicolas Macris, Jean François Emmanuel Barbier, Chun Lam Chan

A new adaptive path interpolation method has been recently developed as a simple and versatile scheme to calculate exactly the asymptotic mutual information of Bayesian inference problems defined on dense factor graphs. These include random linear and gene ...

IEEE2018

Snowpack runoff formation processes during rain-on-snow events

Sebastian Würzer

Rain-on-snow (ROS) events cause repeated flooding in many mountainous regions with a seasonal snow cover. The complex interaction of processes across spatial scales makes it difficult to accurately predict the effect of snow cover on runoff formation for a ...

EPFL2018

Towards a sustainable development licence to operate for the extractive sector

Bruno Maria Camelo Oberle

The extractive sector now holds an even more predominant position for national economies following the adoption of the Sustainable Development Goals in 2015. The sector can make significant contributions to the achievement of a large number of these Goals. ...

Springer Heidelberg2017

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

Climate-driven endemic cholera is modulated by human mobility in a megacity

Andrea Rinaldo, Francisco Javier Perez Saez

Although a differential sensitivity of cholera dynamics to climate variability has been reported in the spatially heterogeneous megacity of Dhaka, Bangladesh, the specific patterns of spread of the resulting risk within the city remain unclear. We build on ...

Elsevier2016

Sustainability assessment of an urban neighborhood revitalization project in Bogotá by transposition of European indicator systems to the Colombian context

Emmanuel Rey, Sophie Lufkin

With 80% of its population living in cities, Latin America is one of the most urbanized regions in the planet. Its urban areas are characterized by rapid transformations that entail urban sprawl and the subsequent environmental impacts, social segregation ...

2015

Hydrology of the Sudanian Savannah in West Africa, Burkina Faso

Theophile Mande

As in all semi-arid regions, Tambarga, a small village surrounded by national parks in the landlocked country of Burkina Faso, is affected by the seasonality of the local hydrology. Seasonal and spatial variability of rainfall shapes the livelihoods of rur ...

EPFL2013

Influence of dam operation on water resources management under different scenarios in the Zambezi River Basin considering environmental objectives and hydropower

Théodora Cohen Liechti

Worldwide, almost 50,000 dams over 15 m height have been built during the last six decades with an aggregated storage capacity of 6,000 km3. The fact that large dams, by increasing irrigation and hydroelectricity production, can sustain development and red ...

EPFL2013

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Volkan Cevher, Anastasios Kyrillidis

The least absolute shrinkage and selection operator (LASSO) for linear regression exploits the geometric interplay of the

\ell_2

-data error objective and the

\ell_1

-norm constraint to arbitrarily select sparse models. Guiding this uninformed selection ...

IEEE2012

Option Pricing with Model-Guided Nonparametric Methods

Loriano Mancini

Parametric option pricing models are largely used in Finance. These models capture several features of asset price dynamics. However, their pricing performance can be significantly enhanced when they are combined with nonparametric learning approaches that ...

American Statistical Association2009

Alternative techniques to assess road traffic emissions

Today, one of the most important environmental problems in urban areas is air pollution. According to the World Health Organization, air pollution represents a serious risk to human health in many cities of the world. Road traffic is one of the main source ...

EPFL2009

Wireless sensor networks for marginal farming in India

Jacques Panchard

In this dissertation, we explore the potential of wireless sensor networks (WSNs) in an original context, the small agriculture of Developing Countries (DCs). Our goal is to confront an emerging technology with a concrete problem of world-wide dimensions, ...

EPFL2008

Environomics: An integrated vision of energy, environment and economics

Daniel Favrat

The World is facing major challenges regarding environmental threats, resource constraints and the large unbalance of wealth among developing and developed countries. Energy engineering is at the core of the actions to be undertaken to meet these challenge ...

2007