Deep Learning Estimation of Daily Ground‐Level NO 2 Concentrations From Remote Sensing Data-Reference-Cited by-同舟云学术

Deep Learning Estimation of Daily Ground‐Level NO 2 Concentrations From Remote Sensing Data

Published:2021-11-08 Issue:21 Volume:126 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:Geophys Res Atmos

Author:

Ghahremanloo Masoud¹^ORCID,Lops Yannic¹^ORCID,Choi Yunsoo¹^ORCID,Yeganeh Bijan²^ORCID

Affiliation:

1. Department of Earth and Atmospheric Sciences University of Houston Houston TX USA

2. Faculty of Civil, Water, and Environmental Engineering Shahid Beheshti University Tehran Iran

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JD034925

Reference93 articles.

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3. Estimating daily surface NO<sub>2</sub> concentrations from satellite data – a case study over Hong Kong using land use regression models

4. The Computation of Equivalent Potential Temperature

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