A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument
<p>The Geostationary Environment Monitoring Spectrometer (GEMS) launched in February 2020 is now providing continuous daytime hourly observations of nitrogen dioxide (NO<span class="inline-formula"><sub>2</sub></span>) columns over eastern Asia (5° S–45° N, 75–145° E) with 3.5 <span class="inline-fo...
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| Principais autores: | , , , , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Copernicus Publications
2024-09-01
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| Serier: | Atmospheric Measurement Techniques |
| Online adgang: | https://amt.copernicus.org/articles/17/5147/2024/amt-17-5147-2024.pdf |
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