Toward High‐Resolution Global Atmospheric Inverse Modeling Using Graphics Accelerators - CEA - Université Paris-Saclay Accéder directement au contenu
Article Dans Une Revue Geophysical Research Letters Année : 2023

Toward High‐Resolution Global Atmospheric Inverse Modeling Using Graphics Accelerators

Résumé

The recent focus on national greenhouse budgets for the preparation of the first Global StockTake of the United Nations Framework Convention on Climate Change (UNFCCC) has renewed the incentive toward higher spatial resolutions of the transport models embedded in atmospheric inversions (Chevallier, 2021; Deng et al., 2022). For instance, despite its two parallelization layers, the transport model in the LSCE inversion system, which derives from Remaud et al. (2018), currently achieves a modest 3.75° in longitude × 1.90° in latitude. This limits the comparison of the inversion results with UNFCCC national inventory reports to large countries or groups of countries (Chevallier, 2021). A specific feature of the LSCE system up to now has been its use in the time-critical environment of the operational Copernicus Atmosphere Monitoring Service (CAMS, https://atmosphere.copernicus.eu/) for carbon dioxide (CO 2) and nitrous oxide (N 2 O): the "time to solution" of the LSCE system, and therefore its spatial resolution, have been constrained by the desire to keep its latest products to a maximum of a few months from real time. However, this resolution challenge is shared by the current generation of global transport models used for inverse modeling. In version 10 of the Model Intercomparison Project (MIP) of the second Orbiting Carbon Observatory (OCO-2), six out of the 11 participating models were run at 5° in longitude × 4° in latitude or coarser; the CAMS/LSCE system at its standard 3.75° × 1.90° resolution was another participant; the resolution of three other participants was between 2.5° and 3.0° in longitude × 2.0° in latitude globally (with a regional zoom for one of them) (https://ceos.org/gst/carbon-dioxide.html, accessed 8 January 2023).
Fichier principal
Vignette du fichier
Geophysical Research Letters - 2023 - Chevallier - Toward High‐Resolution Global Atmospheric Inverse Modeling Using.pdf (1.29 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-04032566 , version 1 (16-03-2023)

Identifiants

Citer

Frédéric Chevallier, Zoé Lloret, Anne Cozic, Sakina Takache, Marine Remaud. Toward High‐Resolution Global Atmospheric Inverse Modeling Using Graphics Accelerators. Geophysical Research Letters, 2023, 50 (5), ⟨10.1029/2022gl102135⟩. ⟨hal-04032566⟩
45 Consultations
24 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More