Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements
Tropospheric NO _2 columns retrieved from ozone monitoring instrument (OMI) are widely used, even though there is a significant loss of spatial coverage due to multiple factors. This work introduces a framework for reconstructing gaps in the OMI NO _2 data over China by using machine learning and an...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IOP Publishing
2020-01-01
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| Seri Bilgileri: | Environmental Research Letters |
| Konular: | |
| Online Erişim: | https://doi.org/10.1088/1748-9326/abc7df |
| Etiketler: |
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