Publications associées à Prévision d'ensembles

Assessing the simulation of snowfall at Dumont d'Urville, Antarctica, during the YOPP-SH special observing campaign

Alexis Berne, Etienne Gabriel Henri Vignon

The performance of a set of atmospheric models and meteorological reanalyses in the representation of precipitation days in Antarctica is assessed using ground-based observations such as a precipitation gauge and a Micro Rain Radar during the Year Of Polar ...

WILEY2023

Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

Devis Tuia, Marc Conrad Russwurm, Corinna Barbara Frank

The governing hydrological processes are expected to shift under climate change in the alpine regions of Switzerland. This raises the need for more adaptive and accurate methods to estimate river flow. In high-altitude catchments influenced by snow and gla ...

2023

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

Ekaterina Krymova, Markus Scholz

Background During the COVID-19 pandemic there has been a strong interest in forecasts of the short-term development of epidemiological indicators to inform decision makers. In this study we evaluate probabilistic real-time predictions of confirmed cases an ...

London2022

Unlocking crowding by ensemble statistics

Michael Herzog, David Pascucci, Oh-Hyeon Choung, Yury Markov, Natalia Tiurina

In crowding,1-7 objects that can be easily recognized in isolation appear jumbled when surrounded by other elements.8 Traditionally, crowding is explained by local pooling mechanisms,3,6,9-15 but many findings have shown that the global configuration of th ...

CELL PRESS2022

An evaluation of new particle formation events in Helsinki during a Baltic Sea cyanobacterial summer bloom

Lubna Dada, Marjan Marbouti

Several studies have investigated new particle formation (NPF) events from various sites ranging from pristine locations, including forest sites, to urban areas. However, there is still a dearth of studies investigating NPF processes and subsequent aerosol ...

COPERNICUS GESELLSCHAFT MBH2022

Predictive Analysis of Errors During Robot-Mediated Gamified Training

Pierre Dillenbourg, Arzu Güneysu Özgür, Nevena Dresevic, Nihal Ezgi Yücetürk, Marija Katanic

This paper presents our approach to predicting future error-related events in a robot-mediated gamified phys- ical training activity for stroke patients. The ability to predict future error under such conditions suggests the existence of distinguishable fe ...

2022

A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1

Damien Bouffard, Camille Roland Marie Minaudo, Cintia Luz Ramon Casanas, Firat Ozdemir

We present a Bayesian inference for a three-dimensional hydrodynamic model of Lake Geneva with stochastic weather forcing and high-frequency observational datasets. This is achieved by coupling a Bayesian inference package, SPUX, with a hydrodynamics packa ...

COPERNICUS GESELLSCHAFT MBH2022

RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts

Maryam Kamgarpour, Eduardo Andres Enderiz

Convective weather and its inherent uncertainty constitute one of the major challenges in the air traffic management (ATM) system, entailing both safety hazards and economic losses. In the present work, we propose a stochastic algorithm for trajectory plan ...

2021

Informed scenario-based RRT∗ for aircraft trajectory planning under ensemble forecasting of thunderstorms

Maryam Kamgarpour, Eduardo Andres Enderiz

Thunderstorms represent a major hazard for flights, as they compromise the safety of both the airframe and the passengers. To address trajectory planning under thunderstorms, three variants of the scenario-based rapidly exploring random trees (SB-RRTs) are ...

2021

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Prévision d'ensembles

Assessing the simulation of snowfall at Dumont d'Urville, Antarctica, during the YOPP-SH special observing campaign

Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

Unlocking crowding by ensemble statistics

An evaluation of new particle formation events in Helsinki during a Baltic Sea cyanobacterial summer bloom

Predictive Analysis of Errors During Robot-Mediated Gamified Training

A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1

Deep Learning Methods for Socially-Aware Human Trajectory Forecasting

RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts

Informed scenario-based RRT∗ for aircraft trajectory planning under ensemble forecasting of thunderstorms

Graph Chatbot

Chattez avec Graph Search

A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1

Deep Learning Methods for Socially-Aware Human Trajectory Forecasting

RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts

Informed scenario-based RRT∗ for aircraft trajectory planning under ensemble forecasting of thunderstorms

An evaluation of new particle formation events in Helsinki during a Baltic Sea cyanobacterial summer bloom

Predictive Analysis of Errors During Robot-Mediated Gamified Training

Assessing the simulation of snowfall at Dumont d'Urville, Antarctica, during the YOPP-SH special observing campaign

Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021

Unlocking crowding by ensemble statistics