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Toward High‐Resolution Global Atmospheric Inverse Modeling Using Graphics Accelerators

Frédéric Chevallier, Zoé Lloret, Anne Cozic, Sakina Takache, Marine Remaud

2023Geophysical Research Letters22 citationsDOIOpen Access PDF

Abstract

Abstract The ability of global transport models to go up in resolution becomes discriminating for greenhouse gas atmospheric inversions. This paper describes the porting on Graphics Processing Units of the global transport model currently used in the European operational Copernicus Atmosphere Monitoring Service (CAMS) for CO 2 and N 2 O inversions. It represents an important milestone to achieve sub‐degree resolution. The code includes not only the direct model but also its tangent‐linear and its adjoint versions which are needed in variational inversions. Tests were carried out for CO 2 at a resolution of 2.50° in longitude, 1.27° in latitude and 79 layers in the vertical, corresponding to 1,626,768 3D cells, 4.5 times more than the current standard resolution of the model used in the CAMS reanalyzes. A month's worth of computation of the tangent‐linear and of the adjoint versions now takes 2.5 min, including 50 s for reading meteorological data.

Topics & Concepts

TangentComputationMeteorologyComputer scienceAtmospheric modelsGraphicsComputational scienceEnvironmental scienceRemote sensingAtmosphere (unit)GeologyAlgorithmMathematicsPhysicsGeometryComputer graphics (images)Atmospheric and Environmental Gas DynamicsMeteorological Phenomena and SimulationsAtmospheric Ozone and Climate
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