Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations
Inversion of radiative transfer models (RTMs) is key to interpreting satellite observations of air quality and greenhouse gases, but is computationally expensive. Surrogate models that emulate the full forward physical RTM can speed up the simulation, reducing computational and timing costs and allo...
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Veröffentlicht in: | Machine learning 2023-04, Vol.112 (4), p.1337-1363 |
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