Pith. sign in

REVIEW

Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2010.02762 v1 pith:RIDNZQR5 submitted 2020-10-06 cs.LG math.OC

Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters

Mathieu Barr\'e , Cl\'ement Giron , Matthieu Mazzolini , Alexandre d'Aspremont This is my paper
classification cs.LG math.OC
keywords dataatmosphericaveragesbarycentersconcentrationimagessimplewasserstein
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
Share X Bluesky LinkedIn Reddit HN
read the original 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.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.