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Masoud GHAHREMANLOO

Center for Astrophysics | Harvard & Smithsonian

United States

SCHOLARLY PAPERS

1

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24

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0

Scholarly Papers (1)

1.

A Next-Generation Deep Learning Framework to Extract Hourly Gap-Free Surface NO2 Concentrations from TEMPO NO2 Columns

Number of pages: 47 Posted: 29 May 2026
Center for Astrophysics | Harvard & Smithsonian, Center for Astrophysics | Harvard & Smithsonian, Center for Astrophysics | Harvard & Smithsonian, Center for Astrophysics | Harvard & Smithsonian and Center for Astrophysics | Harvard & Smithsonian
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Abstract:

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Tropospheric Emissions: Monitoring of Pollution (TEMPO), Satellite remote sensing, Deep Learning, Surface NO2 estimation, Filling gaps, ResNet