Articles | Volume 22, issue 2
https://doi.org/10.5194/acp-22-1333-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-1333-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A new method for inferring city emissions and lifetimes of nitrogen oxides from high-resolution nitrogen dioxide observations: a model study
Universities Space Research Association (USRA), Goddard Earth Sciences Technology and Research (GESTAR), Columbia, MD 21046, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
now at: Morgan State University, Goddard Earth Sciences Technology and Research (GESTAR) II, Baltimore, MD 21251, USA
Zhining Tao
Universities Space Research Association (USRA), Goddard Earth Sciences Technology and Research (GESTAR), Columbia, MD 21046, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
now at: Morgan State University, Goddard Earth Sciences Technology and Research (GESTAR) II, Baltimore, MD 21251, USA
Steffen Beirle
Max-Planck-Institut für Chemie, 55128 Mainz, Germany
Joanna Joiner
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Yasuko Yoshida
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Science Systems and Applications Inc., Lanham, MD 20706, USA
Steven J. Smith
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
K. Emma Knowland
Universities Space Research Association (USRA), Goddard Earth Sciences Technology and Research (GESTAR), Columbia, MD 21046, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
now at: Morgan State University, Goddard Earth Sciences Technology and Research (GESTAR) II, Baltimore, MD 21251, USA
Thomas Wagner
Max-Planck-Institut für Chemie, 55128 Mainz, Germany
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Cited
12 citations as recorded by crossref.
- The attempt to estimate annual variability of NOx emission in Poland using Sentinel-5P/TROPOMI data J. Godłowska et al. 10.1016/j.atmosenv.2022.119482
- TROPOMI NO2 Shows a Fast Recovery of China’s Economy in the First Quarter of 2023 H. Li & B. Zheng 10.1021/acs.estlett.3c00386
- NH3 Emissions and Lifetime Estimated by Satellite Observations with Differential Evolution Algorithm Y. Xie et al. 10.3390/atmos15030251
- Use of machine learning and principal component analysis to retrieve nitrogen dioxide (NO2) with hyperspectral imagers and reduce noise in spectral fitting J. Joiner et al. 10.5194/amt-16-481-2023
- A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx D. Wu et al. 10.5194/gmd-16-6161-2023
- Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
- Impact of Hurricane Ida on Nitrogen Oxide Emissions in Southwestern Louisiana Detected from Space T. Lee et al. 10.1021/acs.estlett.2c00414
- Analyzing Local Carbon Dioxide and Nitrogen Oxide Emissions From Space Using the Divergence Method: An Application to the Synthetic SMARTCARB Dataset J. Hakkarainen et al. 10.3389/frsen.2022.878731
- S‐5P/TROPOMI‐Derived NOx Emissions From Copper/Cobalt Mining and Other Industrial Activities in the Copperbelt (Democratic Republic of Congo and Zambia) S. Martínez‐Alonso et al. 10.1029/2023GL104109
- Estimations of NOxemissions, NO2lifetime and their temporal variation over three British urbanised regions in 2019 using TROPOMI NO2observations M. Pommier 10.1039/D2EA00086E
- Impacts of anthropogenic emissions and meteorology on spring ozone differences in San Antonio, Texas between 2017 and 2021 X. Liu et al. 10.1016/j.scitotenv.2023.169693
- UNCERTAINTY QUANTIFICATION BY GAUSSIAN RANDOM FIELDS FOR POINT-LIKE EMISSIONS FROM SATELLITE OBSERVATIONS T. Härkönen et al. 10.1615/Int.J.UncertaintyQuantification.2023044906
11 citations as recorded by crossref.
- The attempt to estimate annual variability of NOx emission in Poland using Sentinel-5P/TROPOMI data J. Godłowska et al. 10.1016/j.atmosenv.2022.119482
- TROPOMI NO2 Shows a Fast Recovery of China’s Economy in the First Quarter of 2023 H. Li & B. Zheng 10.1021/acs.estlett.3c00386
- NH3 Emissions and Lifetime Estimated by Satellite Observations with Differential Evolution Algorithm Y. Xie et al. 10.3390/atmos15030251
- Use of machine learning and principal component analysis to retrieve nitrogen dioxide (NO2) with hyperspectral imagers and reduce noise in spectral fitting J. Joiner et al. 10.5194/amt-16-481-2023
- A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx D. Wu et al. 10.5194/gmd-16-6161-2023
- Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
- Impact of Hurricane Ida on Nitrogen Oxide Emissions in Southwestern Louisiana Detected from Space T. Lee et al. 10.1021/acs.estlett.2c00414
- Analyzing Local Carbon Dioxide and Nitrogen Oxide Emissions From Space Using the Divergence Method: An Application to the Synthetic SMARTCARB Dataset J. Hakkarainen et al. 10.3389/frsen.2022.878731
- S‐5P/TROPOMI‐Derived NOx Emissions From Copper/Cobalt Mining and Other Industrial Activities in the Copperbelt (Democratic Republic of Congo and Zambia) S. Martínez‐Alonso et al. 10.1029/2023GL104109
- Estimations of NOxemissions, NO2lifetime and their temporal variation over three British urbanised regions in 2019 using TROPOMI NO2observations M. Pommier 10.1039/D2EA00086E
- Impacts of anthropogenic emissions and meteorology on spring ozone differences in San Antonio, Texas between 2017 and 2021 X. Liu et al. 10.1016/j.scitotenv.2023.169693
Latest update: 28 Mar 2024
Short summary
In this work, we present a novel method to infer NOx emissions and lifetimes based on tropospheric NO2 observations together with reanalysis wind fields for cities located in polluted backgrounds. We evaluate the accuracy of the method using synthetic NO2 observations derived from a high-resolution model simulation. Our work provides an estimate for uncertainties in satellite-derived emissions inferred from chemical transport model (CTM)-independent approaches.
In this work, we present a novel method to infer NOx emissions and lifetimes based on...
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