Improved Modeling of Spatiotemporal Variations of Fine Particulate Matter Using a Three‐Dimensional Variational Data Fusion Method-Reference-Cited by-同舟云学术

Improved Modeling of Spatiotemporal Variations of Fine Particulate Matter Using a Three‐Dimensional Variational Data Fusion Method

Published:2021-03-23 Issue:6 Volume:126 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:Geophys Res Atmos

Author:

Zhang Xuguo¹²³^ORCID,Fung Jimmy C. H.²³^ORCID,Lau Alexis K. H.²⁴^ORCID,Zhang Shaoqing⁵⁶^ORCID,Huang Wei¹⁷

Affiliation:

1. School of Management Xi'an Jiaotong University Xi'an China

2. Division of Environment and Sustainability The Hong Kong University of Science and Technology Hong Kong China

3. Department of Mathematics The Hong Kong University of Science and Technology Hong Kong China

4. Department of Civil and Environmental Engineering The Hong Kong University of Science and Technology Hong Kong China

5. Key Laboratory of Physical Oceanography The College of Oceanic and Atmospheric Sciences & Institute for Advanced Ocean Study/Frontiers Science Center for Deep Ocean Multispheres and Earth System (DOMES) Ocean University of China Qingdao China

6. Qingdao Pilot National Laboratory for Marine Science and Technology Qingdao China

7. College of Business Southern University of Science and Technology Shenzhen China

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/10.1029/2020JD033599

Reference55 articles.

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