Scientific Calendar Event

Starts 22 May 2023 11:00
Ends 22 May 2023 12:30
Central European Time
Common Area, 2nd floor, Sissa Building + Zoom
Via Beirut
                              Davide Faranda (CNRS CEA-Saclay)


Mid-latitude circulation dynamics is often described in terms of weather regimes. Each pattern is given by a given combination of several synoptic objects (cyclones and anticyclones). Such intrication makes it arduous to  quantify recurrence and intensity of climate extremes. Here we apply Latent Dirichlet Allocation (LDA), used for topic modeling in linguistic, to build a weather dictionary: we define daily maps of a gridded target observable as documents, and the grid-points composing the map as words. LDA provides a representation of documents in terms of a combination of spatial patterns named motifs, which are latent patterns inferred from the set of snapshots. For atmospheric data, we find that motifs correspond to pure synoptic objects (cyclones and anticyclones), that can be seen as building blocks of weather regimes. We show that LDA weights provide a natural way to characterize the climate change for the recurrence of regimes associated with extreme events.

Davide Faranda (CNRS CEA-Saclay), Lucas Fery (CNRS CEA-Saclay), Nemo Malhomme (CNRS CEA-Saclay), Berengere Dubrulle (SPEC CEA Saclay, CNRS), Berengere Podvin (LISN, Orsay France), Lionel Mathelin(LISN, Orsay France), Flavio Pons (CNRS CEA Saclay
ID      981 8087 0364
Psw    241357