33 citations · 50 across the 5 of their papers we have counts for
5 papers
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…
Exploring the non-stationarity of coastal sea level probability distributions
Fabrizio Falasca, Andrew Brettin, Laure Zanna +3
Studies agree on a significant global mean sea level rise in the 20th century and its recent 21st century acceleration in the satellite record. At regional scale, the evolution of…
Self-absorption in [CII], CO, and HI in RCW120. Building up a geometrical and physical model of the region
S. Kabanovic, N. Schneider, V. Ossenkopf-Okada +19
Revealing the 3D dynamics of HII regions and their associated molecular clouds is important for understanding the longstanding problem as to how stellar feedback affects the densit…
Exploring the tropical Pacific manifold in models and observations
Fabrizio Falasca, Annalisa Bracco
The threat of global warming and the demand for reliable climate predictions pose a formidable challenge being the climate system multiscale, high-dimensional and nonlinear. Spatio…
Cumulo: A Dataset for Learning Cloud Classes
Valentina Zantedeschi, Fabrizio Falasca, Alyson Douglas +3
One of the greatest sources of uncertainty in future climate projections comes from limitations in modelling clouds and in understanding how different cloud types interact with the…