Research

My research revolves around the applications of Artificial Intelligence to the earth sciences. I'm especially interested in the downstream applications of weather forecasting: how to make optimal decisions related to the weather, given that our predictions are uncertain?

Selected publications

Preprint

Generating ensembles of spatially-coherent in-situ forecasts using flow matching

David Landry, Claire Monteleoni and Anastase Charantonis

[DOI][arXiv]

Journal paper

Leveraging deterministic weather forecasts for in-situ probabilistic temperature predictions via deep learning

David Landry, Anastase Charantonis and Claire Monteleoni

[DOI][arXiv]

Journal paper

Outcomes of the WMO Prize Challenge to Improve Sub-Seasonal to Seasonal Predictions Using Artificial Intelligence

Frédéric Vitart et al.

[DOI]

Other works

Oral

Revisiting multi-dimensional rank histograms to evaluate generative weather forecasting models

David Landry, Anastase Charantonis, Claire Monteleoni

[PDF][URL]

Poster

Flow matching for in situ, spatially consistent weather forecast downscaling

David Landry, Anastase Charantonis, Claire Monteleoni

[DOI][PDF]

Internal presentation

Introduction to Stochastic Interpolants

David Landry

[PDF]

Poster

Sampling physically consistent sensor network states conditioned on a numerical weather forecast: a proposal

David Landry, Anastase Charantonis, Claire Monteleoni

[PDF]

Oral presentation

Leveraging deterministic weather forecasts for in-situ probabilistic predictions via deep learning

David Landry, Anastase Charantonis, Claire Monteleoni

[DOI][PDF]

Outreach

The Deep Learning Revolution in Weather Forecasting

David Landry

[PDF]

Master's thesis

Data-driven covariance estimation for the iterative closest point algorithm

David Landry

[URL]

Conference paper

CELLO-3D: Estimating the Covariance of ICP in the Real World

David Landry, François Pomerleau, Philippe Giguère

[DOI][arXiv]

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