Work

Simulating Tropospheric CO Using Deep Learning

Year: 2026

Type: article

Source: JuSER Publikationsportal

DOI: 10.34734/fzj-2026-05389

Authors: Semcheddine, Asma, Schultz, Martin, Melidonis, Savvas, Lessig, Christian

Institution: Forschungszentrum Jülich

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

OpenAlex ID: W7225307243

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