Concept

Data assimilation

Related publications (73)

On maximizing safety in stochastic aircraft trajectory planning with uncertain thunderstorm development

Dealing with meteorological uncertainty poses a major challenge in air traffic management (ATM). Convective weather (commonly referred to as storms or thunderstorms) in particular represents a significant safety hazard that is responsible for one quarter o ...

2018

A Prediction-Error Covariance Estimator for Adaptive Kalman Filtering in Step-Varying Processes: Application to Power-System State Estimation

Jean-Yves Le Boudec, Mario Paolone, Lorenzo Zanni

In this paper, we present a new method for the estimation of the prediction-error covariances of a Kalman filter (KF), which is suitable for step-varying processes. The method uses a series of past innovations (i.e., the difference between the upcoming mea ...

Institute of Electrical and Electronics Engineers2017

MATHICSE Technical Report : Multilevel ensemble Kalman filtering for spatio-temporal processes

Fabio Nobile, Hakon Andreas Hoel

This work concerns state-space models, in which the state-space is an infinite-dimensional spatial field, and the evolution is in continuous time, hence requiring approximation in space and time. The multilevel Monte Carlo (MLMC) sampling strategy is lever ...

MATHICSE2017

MULTILEVEL ENSEMBLE KALMAN FILTERING FOR SPATIO-TEMPORAL PROCESSES

Fabio Nobile, Hakon Andreas Hoel

2017

Real-time projections of cholera outbreaks through data assimilation and rainfall forecasting

Andrea Rinaldo, Enrico Bertuzzo, Flavio Finger, Damiano Pasetto

Although treatment for cholera is well-known and cheap, outbreaks in epidemic regions still exact high death tolls mostly due to the unpreparedness of health care infrastructures to face unforeseen emergencies. In this context, mathematical models for the ...

Elsevier2016

Data Center: infrastructure pour la ville

A l'aube d'une génération 100 % numérique, notre production, notre consommation ainsi que le traitement de nos données digitales augmentent de façon exponentielle. Le data center, milieu tempéré et sécurisé pour les machines, est le cœur de cette nouvelle ...

2016

Information content of binary snow/non-snow data for melt prediction

Snow spatial evolution and distribution in mountainous terrains is difficult to capture since these remote areas are often inaccessible. Nevertheless, they constitute important features for water resources management. To face this issue, the concept of dat ...

2016

Los desafíos de la modelización hidrológica y la previsión de crecidas en tiempo real en alta montaña

Anton Schleiss, Javier García Hernández, Alain Tommy Foehn

Flood forecasting systems are today recognized as a key element in natural hazard mitigation. The objective is to exploit the available observed and forecasted meteorological information to foresee river discharges up to several days in advance, using a hy ...

2016

Examining Building Design Decisions Under Long Term Weather Variability and Microclimatic Effects: A case-based exploratory study

Marilyne Andersen, Luisa Pastore, Parag Rastogi, Margaux Marie Valérie Peltier, Minu Agarwal

Thermal building simulation currently uses Typical Meteorological Year (TMY) data to guide the design decision-making process or for compliance with energy standards. TMY data usually excludes extremes and in many cases are gathered from microclimatic cont ...

2016

Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes

Alexandre Massoud Alahi

Humans navigate crowded spaces such as a university campus by following common sense rules based on social etiquette. In this paper, we argue that in order to enable the design of new target tracking or trajectory forecasting methods that can take full adv ...

Springer2016

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.