Work

Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters

Year: 2020

Type: preprint

Abstract: Hyperspectral satellite images report greenhouse gas concentrations worldwide on a daily basis. While taking simple averages of these images over time produces a rough estimate of relative emission rates, atmospheric transport means that simple averages fail to pinpoint the source of these emissions. We propose using Wasserstein barycenters coupled with weather data to average gas concentration data sets and better concentrate the mass around significant sources.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2010.02762

Authors: Barré, Mathieu, Giron, Clément, Mazzolini, Matthieu, d'Aspremont, Alexandre

Institutions: SIERRA: Apprentissage Statistique et optimisation, Centre National de la Recherche Scientifique, Université Paris Sciences et Lettres, École Normale Supérieure - PSL

Language: English

Topic: Atmospheric and Environmental Gas Dynamics

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

OpenAlex ID: W3092292199

Cites: 13

Cited by: 5

Related to: 10