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Pierre Tandeo

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Full Professor

IMT Atlantique

France

Research Interests

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Recent Grants

Grant: Open

Oceanic Precursos and their Role for the Climate – Evaluation of Interannual Climate Predictability – PORC-EPIC

Open Date: 2025-01-21

Close Date: 2029-01-20

Grant: Open

Scale invariance and multifractal processing in neural networks – SCALP

Open Date: 2024-12-21

Close Date: 2028-12-20

Grant: Open

Artificial probabilistic information for ocean-climate applications – REPLICA

Open Date: 2022-12-21

Close Date: 2026-12-20

Articles (19)

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Collaborators (3)

Tijana Janjic

Professor

GERMANY

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Emmanuel Frenod

Full Professor of Applied Mathematics

UNIVERSITY OF SOUTH BRITTANY

FRANCE

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Daniel Chavas

Assistant Professor

Purdue University

UNITED STATES

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Pierre Tandeo

Research Interests

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Recent Grants

Articles (19)

Data assimilation of coherent structures in parametric and gridded spaces: an idealized ocean eddy study

Distance Learning for Analog Methods

Reconstructing monthly 20th century salinity fields using a data-driven method and Argo data

A templex-based study of the Atlantic Meridional Overturning Circulation dynamics in idealized chaotic models

State and Stochastic Parameters Estimation with Combined Ensemble Kalman and Particle Filters

Reconstructing the Ocean State Using Argo Data and a Data-Driven Method

Could old tide gauges help estimate past atmospheric variability?

Site-level and spatially-explicit modelling provides some insights on key factors driving seasonal dynamics of an intertidal seagrass

Convolutional encoding and normalizing flows: a deep learning approach for offshore wind speed probabilistic forecasting in the Mediterranean Sea

Selecting and weighting dynamical models using data-driven approaches

On‐line machine‐learning forecast uncertainty estimation for sequential data assimilation

Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

Reexamining the Estimation of Tropical Cyclone Radius of Maximum Wind from Outer Size with an Extensive Synthetic Aperture Radar Dataset

Dynamical Properties of Weather Regime Transitions

Data-driven reconstruction of partially observed dynamical systems

Comparison of simulation-based algorithms for parameter estimation and state reconstruction in nonlinear state-space models

Gaussian mixture models for the optimal sparse sampling of offshore wind resource

Reduction of rain-induced errors for wind speed estimation on SAR observations using convolutional neural networks

Collaborators (3)

Tijana Janjic

Emmanuel Frenod

Daniel Chavas

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