Login

ENBIS-26 Conference

Sep 6 – 10, 2026
Centro Didattico Morgagni
Europe/Rome timezone

Chair of the Local Organising Committee

Session

Data science for climate and environment

Sep 8, 2026, 9:00 AM

Conveners

Data science for climate and environment

  • Véronique Maume-Deschamps (Institut Camille Jordan, Université Claude Bernard Lyon 1)

Presentation materials

There are no materials yet.

  1. 80. Model selection for extremal dependence structures using deep learning: Application to environmental data
    Pierre Ribereau (Université Claude Bernard Lyon 1)
    9/8/26, 9:00 AM
    Other/special session/invited session

    Although the CLIC-based model selection approach is widely used to identify spatial extreme models, the complexity of the associated statistical inference limits the reliability of this criterion. In addition, the strong spatial dependence in small or moderate regions may lead to substantial overlap among the spatial extremes models. This potential overlap increases the risk of model...

    Go to contribution page
  2. 81. Multivariate Discrete Generalized Pareto distributions: Theory, likelihood-free inference, and applications to drought risk assessment
    Samira Aka (Square Management)
    9/8/26, 9:30 AM
    Other/special session/invited session

    Understanding extreme environmental phenomena is crucial for risk management in a changing climate. In particular, dry spells, defined as consecutive days without precipitation, play a key role in drought dynamics, with direct impacts on agriculture, water resources, and insurance systems. Dry spell lengths are inherently discrete and often exhibit complex dependence structures across...

    Go to contribution page
  3. 26. Concepts and methods for better predictions in climate and environmental science
    Dr Georgia Papacharalampous (University of Padova)
    9/8/26, 10:00 AM
    Other/special session/invited session

    Skillful predictions in climate and environmental science are essential for planning operations, assessing risks, guiding adaptation strategies, and building resilience. This talk synthesizes key concepts and methods for enhancing predictive performance in these domains, with a particular emphasis on predictive uncertainty estimation, extreme event prediction, and the role of big datasets and...

    Go to contribution page
Building timetable...