most citedA data-driven framework for dimensionality reduction and causal inference in climate fields

12 citations · 12 across the 1 of their papers we have counts for

collaborators

1 paper

physics.ao-ph2023★ 12 cited

A data-driven framework for dimensionality reduction and causal inference in climate fields

Fabrizio Falasca, Pavel Perezhogin, Laure Zanna

We propose a data-driven framework to simplify the description of spatiotemporal climate variability into few entities and their causal linkages. Given a high-dimensional climate f…