Articles | Volume 6, issue 7
https://doi.org/10.5194/acp-6-1747-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/acp-6-1747-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
24 May 2006
Inverse modelling of the spatial distribution of NOx emissions on a continental scale using satellite data
I. B. Konovalov
Institute of Applied Physics, Russian Academy of Sciences, Nizhniy Novgorod, Russia
Laboratoire Inter-Universitaire de Systèmes Atmosphériques, CNRS, Créteil, France
M. Beekmann
Laboratoire Inter-Universitaire de Systèmes Atmosphériques, CNRS, Créteil, France
A. Richter
Institute of Environmental Physics and Remote Sensing, IUP/IFE, University of Bremen, Bremen, Germany
J. P. Burrows
Institute of Environmental Physics and Remote Sensing, IUP/IFE, University of Bremen, Bremen, Germany
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82 citations as recorded by crossref.
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- Evaluating BC and NOx emission inventories for the Paris region from MEGAPOLI aircraft measurements H. Petetin et al. 10.5194/acp-15-9799-2015
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- Trends and trend reversal detection in 2 decades of tropospheric NO2 satellite observations A. Georgoulias et al. 10.5194/acp-19-6269-2019
- A synchronous observation of enhanced aerosol and NO2 over Beijing, China, in winter 2015 Z. Chen et al. 10.1016/j.scitotenv.2016.09.189
- Quantifying urban, industrial, and background changes in NO2 during the COVID-19 lockdown period based on TROPOMI satellite observations V. Fioletov et al. 10.5194/acp-22-4201-2022
- Long-term changes of tropospheric NO2 over megacities derived from multiple satellite instruments A. Hilboll et al. 10.5194/acp-13-4145-2013
- The Assimilation of Envisat data (ASSET) project W. Lahoz et al. 10.5194/acp-7-1773-2007
- Inverse Modeling of Nitrogen Oxides Emissions from the 2010 Russian Wildfires by Using Satellite Measurements of Nitrogen Dioxide E. Berezin et al. 10.3390/atmos7100132
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- Identification of surface NO x emission sources on a regional scale using OMI NO 2 I. Zyrichidou et al. 10.1016/j.atmosenv.2014.11.023
- A modelling study of photochemical regimes over Europe: robustness and variability M. Beekmann & R. Vautard 10.5194/acp-10-10067-2010
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- Intercomparison of SCIAMACHY and OMI tropospheric NO2 columns: Observing the diurnal evolution of chemistry and emissions from space K. Boersma et al. 10.1029/2007JD008816
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- Inverse modelling of Chinese NOx emissions using deep learning: integrating in situ observations with a satellite-based chemical reanalysis T. He et al. 10.5194/acp-22-14059-2022
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- Trans-Pacific transport of reactive nitrogen and ozone to Canada during spring T. Walker et al. 10.5194/acp-10-8353-2010
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- Assessing the distribution and growth rates of NOx emission sources by inverting a 10‐year record of NO2 satellite columns T. Stavrakou et al. 10.1029/2008GL033521
- Recent satellite-based trends of tropospheric nitrogen dioxide over large urban agglomerations worldwide P. Schneider et al. 10.5194/acp-15-1205-2015
- Evaluations of NOx and highly reactive VOC emission inventories in Texas and their implications for ozone plume simulations during the Texas Air Quality Study 2006 S. Kim et al. 10.5194/acp-11-11361-2011
- The impact of observing characteristics on the ability to predict ozone under varying polluted photochemical regimes P. Hamer et al. 10.5194/acp-15-10645-2015
- Bayesian Monte Carlo analysis applied to regional‐scale inverse emission modeling for reactive trace gases L. Deguillaume et al. 10.1029/2006JD007518
- Observation of slant column NO2 using the super-zoom mode of AURA-OMI L. Valin et al. 10.5194/amt-4-1929-2011
- Validation of chemistry transport model of the lower atmosphere in the central European region of Russia using ground-based and satellite measurement data I. Konovalov et al. 10.3103/S1068373909040062
- Regional differences in the decadal variations of atmospheric emissions of nitrogen oxides in the European part of Russia: Results of inverse modeling based on satellite data I. Konovalov 10.1134/S1028334X07090280
- Quantifying instantaneous nitrogen oxides emissions from power plants based on space observations T. Tang et al. 10.1016/j.scitotenv.2024.173479
- Intercomparison of NOx emission inventories over East Asia J. Ding et al. 10.5194/acp-17-10125-2017
- Satellite remote sensing of surface air quality R. Martin 10.1016/j.atmosenv.2008.07.018
- Atmospheric composition change: Climate–Chemistry interactions I. Isaksen et al. 10.1016/j.atmosenv.2009.08.003
- Multi-annual changes of NOx emissions in megacity regions: nonlinear trend analysis of satellite measurement based estimates I. Konovalov et al. 10.5194/acp-10-8481-2010
- Inverse modeling of Texas NOx emissions using space-based and ground-based NO2 observations W. Tang et al. 10.5194/acp-13-11005-2013
- SCIAMACHY formaldehyde observations: constraint for isoprene emission estimates over Europe? G. Dufour et al. 10.5194/acp-9-1647-2009
- Earth observation: a revolutionary leap into the future J. Remedios et al. 10.1111/j.1468-4004.2012.53316.x
- OMI NO2 column densities over North American urban cities: the effect of satellite footprint resolution H. Kim et al. 10.5194/gmd-9-1111-2016
- Urban-scale variational flux inversion for CO Using TROPOMI total-column retrievals: A case study of Tehran N. Shahrokhi et al. 10.1016/j.atmosenv.2023.120009
- Tropospheric NO2 columns over Northeastern North America: Comparison of CMAQ model simulations with GOME satellite measurements C. Shi & B. Zhang 10.1007/s00376-008-0059-8
- Application of Satellite Observations and Air Quality Modelling to Validation of NOx Anthropogenic EMEP Emissions Inventory over Central Europe K. Szymankiewicz et al. 10.3390/atmos12111465
2 citations as recorded by crossref.
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- Inverse modeling of surface NOx anthropogenic emission fluxes in the Paris area during the Air Pollution Over Paris Region (ESQUIF) campaign I. Pison et al. 10.1029/2007JD008871
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