Articles | Volume 14, issue 7
https://doi.org/10.5194/acp-14-3277-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-3277-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Apr 2014
Research article |
| 02 Apr 2014
Global lightning NOx production estimated by an assimilation of multiple satellite data sets
K. Miyazaki
Japan Agency for Marine-Earth Science and Technology, Yokohama 236-0001, Japan
H. J. Eskes
Royal Netherlands Meteorological Institute (KNMI), Wilhelminalaan 10, 3732 GK, De Bilt, the Netherlands
Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan
C. Zhang
International Pacific Research Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA
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64 citations as recorded by crossref.
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- The Berkeley High Resolution Tropospheric NO2 product J. Laughner et al. 10.5194/essd-10-2069-2018
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- What controls ozone sensitivity in the upper tropical troposphere? C. Nussbaumer et al. 10.5194/acp-23-12651-2023
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- Impacts of anthropogenic and natural sources on free tropospheric ozone over the Middle East Z. Jiang et al. 10.5194/acp-16-6537-2016
- Nitrogen oxides in the global upper troposphere: interpreting cloud-sliced NO2 observations from the OMI satellite instrument E. Marais et al. 10.5194/acp-18-17017-2018
- Lightning NOx Emissions: Reconciling Measured and Modeled Estimates With Updated NOx Chemistry B. Nault et al. 10.1002/2017GL074436
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- Observational evidence for interhemispheric hydroxyl-radical parity P. Patra et al. 10.1038/nature13721
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- NO and NOy in the upper troposphere: Nine years of CARIBIC measurements onboard a passenger aircraft G. Stratmann et al. 10.1016/j.atmosenv.2016.02.035
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- Quantifying spatially varying impacts of public transport on NO$$_2$$ concentrations with big geo-data H. Wang et al. 10.1007/s10661-023-11289-4
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- LNOx Emission Model for Air Quality and Climate Studies Using Satellite Lightning Mapper Observations Y. Wu et al. 10.1029/2022JD037406
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