35 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR10 papers
- Universidad de Buenos AiresAR10 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR8 papers
- Institute of Astronomy and Space PhysicsAR5 papers
- National University of the NortheastAR5 papers
- Laboratoire des Sciences du Climat et de l'EnvironnementFR3 papers
- University of California, Los AngelesUS3 papers
- Centre National pour la Recherche Scientifique et Technique (CNRST)MA2 papers
- Centro Científico Tecnológico - TucumánAR2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- Complexe de Recherche Interprofessionnel en AérothermochimieFR2 papers
- École Normale Supérieure - PSLFR2 papers
14 papers
Templex: a bridge between homologies and templates for chaotic attractors
Gisela D. Charó, Christophe Letellier, Denisse Sciamarella
The theory of homologies introduces cell complexes to provide an algebraic description of spaces up to topological equivalence. Attractors in state space can be studied using Branc…
Templex-based dynamical units for a taxonomy of chaos
Caterina Mosto, Gisela D. Charó, Christophe Letellier +1
Discriminating different types of chaos is still a very challenging topic, even for dissipative three-dimensional systems for which the most advanced tool is the template. Neverthe…
Functorial invariants for chaos topology from data
Denisse Sciamarella
The templex is a topological object bridging homologies and templates for chaotic dynamics. This article places the templex within category theory, introducing a directed path alge…
The macroscopic contact angle of water on ice
W. Sarlin, D. V. Papa, R. Grivet +4
Wettability quantifies the affinity of a liquid over a substrate, and determines whether the surface is repellent or not. When both the liquid and the solid phases are made of the…
Free surface topography of capillary flows using spatiotemporal phase shifting profilometry
Hélie de Miramon, Wladimir Sarlin, Axel Huerre +3
We present a novel experimental technique to characterize the free surface of capillary flows adapted from the Spatio-Temporal Phase Shifting Profilometry (ST-PSP) method introduce…
Online machine-learning forecast uncertainty estimation for sequential data assimilation
Maximiliano A. Sacco, Manuel Pulido, Juan J. Ruiz +1
Quantifying forecast uncertainty is a key aspect of state-of-the-art numerical weather prediction and data assimilation systems. Ensemble-based data assimilation systems incorporat…
Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification
Maximiliano A. Sacco, Juan J. Ruiz, Manuel Pulido +1
Ensemble forecasting is, so far, the most successful approach to produce relevant forecasts with an estimation of their uncertainty. The main limitations of ensemble forecasting ar…
Inference in epidemiological agent-based models using ensemble-based data assimilation
Tadeo Javier Cocucci, Manuel Pulido, Juan Aparicio +3
To represent the complex individual interactions in the dynamics of disease spread informed by data, the coupling of an epidemiological agent-based model with the ensemble Kalman f…
Noise-driven Topological Changes in Chaotic Dynamics
Gisela D. Charó, Mickaël D. Chekroun, Denisse Sciamarella +1
Noise modifies the behavior of chaotic systems in both quantitative and qualitative ways. To study these modifications, the present work compares the topological structure of the d…
Stability of the Malvinas Current
FJ Beron-Vera, N. Bodnariuk, M. Saraceno +2
Deterministic and probabilistic tools from nonlinear dynamics are used to assess enduring near-surface Lagrangian aspects of the Malvinas Current. The deterministic tools are appli…
Inference of stochastic parameterizations for model error treatment using nested ensemble Kalman filters
Guillermo Scheffler, Juan Ruiz, Manuel Pulido
Stochastic parameterizations are increasingly being used to represent the uncertainty associated with model errors in ensemble forecasting and data assimilation. One of the challen…
Probabilities of causation of climate changes
Alexis Hannart, Philippe Naveau
Multiple changes in Earth's climate system have been observed over the past decades. Determining how likely each of these changes are to have been caused by human influence, is imp…
Estimating model evidence using data assimilation
Alberto Carrassi, Marc Bocquet, Alexis Hannart +1
We review the field of data assimilation (DA) from a Bayesian perspective and show that, in addition to its by now common application to state estimation, DA may be used for model…
DADA: Data Assimilation for the Detection and Attribution of Weather- and Climate-related Events
Alexis Hannart, Alberto Carrassi, Marc Bocquet +5
We describe a new approach allowing for systematic causal attribution of weather and climate-related events, in near-real time. The method is purposely designed to facilitate its i…