Hybrid Mass Balance/4D‐Var Joint Inversion of NO x and SO 2 Emissions in East Asia-Reference-Cited by-同舟云学术

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Hybrid Mass Balance/4D‐Var Joint Inversion of NO x and SO 2 Emissions in East Asia

Published:2019-07-27 Issue:14 Volume:124 Page:8203-8224
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Qu Zhen¹^ORCID,Henze Daven K.¹^ORCID,Theys Nicolas²,Wang Jun³^ORCID,Wang Wei⁴

Affiliation:

1. Department of Mechanical EngineeringUniversity of Colorado Boulder Boulder CO USA

2. Belgian Institute for Space Aeronomy (BIRA‐IASB) Brussels Belgium

3. Center for Global and Regional Environmental Research, Department of Chemical and Biochemical EngineeringUniversity of Iowa Iowa City IA USA

4. China National Environmental Monitoring Center Beijing China

Funder

National Aeronautics and Space Administration

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/10.1029/2018JD030240

Reference81 articles.

1. Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation

2. An improved tropospheric NO<sub>2</sub> column retrieval algorithm for the Ozone Monitoring Instrument

3. Improving algorithms and uncertainty estimates for satellite NO<sub>2</sub> retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project

4. Validation of OMI tropospheric NO2 observations during INTEX-B and application to constrain NOxNOx emissions over the eastern United States and Mexico

5. Improved analysis‐error covariance matrix for high‐dimensional variational inversions: application to source estimation using a 3D atmospheric transport model

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3. An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NO_x Emissions in the US;Journal of Geophysical Research: Atmospheres;2024-01-12

4. Remotely sensed and surface measurement- derived mass-conserving inversion of daily NO_x emissions and inferred combustion technologies in energy-rich northern China;Atmospheric Chemistry and Physics;2023-07-18

5. Development of an integrated machine-learning and data assimilation framework for NOx emission inversion;Science of The Total Environment;2023-05

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