Articles | Volume 14, issue 7
https://doi.org/10.5194/acp-14-3277-2014
https://doi.org/10.5194/acp-14-3277-2014
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, H. J. Eskes, K. Sudo, and C. Zhang

Related authors

Quantifying uncertainties of satellite NO2 superobservations for data assimilation and model evaluation
Pieter Rijsdijk, Henk Eskes, Arlene Dingemans, Folkert Boersma, Takashi Sekiya, Kazuyuki Miyazaki, and Sander Houweling
EGUsphere, https://doi.org/10.5194/egusphere-2024-632,https://doi.org/10.5194/egusphere-2024-632, 2024
Short summary
Tropospheric Ozone Precursors: Global and Regional Distributions, Trends and Variability
Yasin Elshorbany, Jerald Ziemke, Sarah Strode, Hervé Petetin, Kazuyuki Miyazaki, Isabelle De Smedt, Kenneth Pickering, Rodrigo Seguel, Helen Worden, Tamara Emmerichs, Domenico Taraborrelli, Maria Cazorla, Suvarna Fadnavis, Rebecca Buchholz, Benjamin Gaubert, Néstor Rojas, Thiago Nogueira, Thérèse Salameh, and Min Huang
EGUsphere, https://doi.org/10.5194/egusphere-2024-720,https://doi.org/10.5194/egusphere-2024-720, 2024
Short summary
CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model
Drew C. Pendergrass, Daniel J. Jacob, Hannah Nesser, Daniel J. Varon, Melissa Sulprizio, Kazuyuki Miyazaki, and Kevin W. Bowman
Geosci. Model Dev., 16, 4793–4810, https://doi.org/10.5194/gmd-16-4793-2023,https://doi.org/10.5194/gmd-16-4793-2023, 2023
Short summary
Impact of different sources of precursors on an ozone pollution outbreak over Europe analysed with IASI+GOME2 multispectral satellite observations and model simulations
Sachiko Okamoto, Juan Cuesta, Matthias Beekmann, Gaëlle Dufour, Maxim Eremenko, Kazuyuki Miyazaki, Cathy Boonne, Hiroshi Tanimoto, and Hajime Akimoto
Atmos. Chem. Phys., 23, 7399–7423, https://doi.org/10.5194/acp-23-7399-2023,https://doi.org/10.5194/acp-23-7399-2023, 2023
Short summary
Estimation of CH4 emission based on an advanced 4D-LETKF assimilation system
Jagat S. H. Bisht, Prabir K. Patra, Masayuki Takigawa, Takashi Sekiya, Yugo Kanaya, Naoko Saitoh, and Kazuyuki Miyazaki
Geosci. Model Dev., 16, 1823–1838, https://doi.org/10.5194/gmd-16-1823-2023,https://doi.org/10.5194/gmd-16-1823-2023, 2023
Short summary

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Changes in South American surface ozone trends: exploring the influences of precursors and extreme events
Rodrigo J. Seguel, Lucas Castillo, Charlie Opazo, Néstor Y. Rojas, Thiago Nogueira, María Cazorla, Mario Gavidia-Calderón, Laura Gallardo, René Garreaud, Tomás Carrasco-Escaff, and Yasin Elshorbany
Atmos. Chem. Phys., 24, 8225–8242, https://doi.org/10.5194/acp-24-8225-2024,https://doi.org/10.5194/acp-24-8225-2024, 2024
Short summary
Evaluating NOx stack plume emissions using a high-resolution atmospheric chemistry model and satellite-derived NO2 columns
Maarten Krol, Bart van Stratum, Isidora Anglou, and Klaas Folkert Boersma
Atmos. Chem. Phys., 24, 8243–8262, https://doi.org/10.5194/acp-24-8243-2024,https://doi.org/10.5194/acp-24-8243-2024, 2024
Short summary
NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations
Robin Plauchu, Audrey Fortems-Cheiney, Grégoire Broquet, Isabelle Pison, Antoine Berchet, Elise Potier, Gaëlle Dufour, Adriana Coman, Dilek Savas, Guillaume Siour, and Henk Eskes
Atmos. Chem. Phys., 24, 8139–8163, https://doi.org/10.5194/acp-24-8139-2024,https://doi.org/10.5194/acp-24-8139-2024, 2024
Short summary
Aggravated surface O3 pollution primarily driven by meteorological variations in China during the 2020 COVID-19 pandemic lockdown period
Zhendong Lu, Jun Wang, Yi Wang, Daven K. Henze, Xi Chen, Tong Sha, and Kang Sun
Atmos. Chem. Phys., 24, 7793–7813, https://doi.org/10.5194/acp-24-7793-2024,https://doi.org/10.5194/acp-24-7793-2024, 2024
Short summary
Identifying decadal trends in deweathered concentrations of criteria air pollutants in Canadian urban atmospheres with machine learning approaches
Xiaohong Yao and Leiming Zhang
Atmos. Chem. Phys., 24, 7773–7791, https://doi.org/10.5194/acp-24-7773-2024,https://doi.org/10.5194/acp-24-7773-2024, 2024
Short summary

Cited articles

Abarca, S. F., Corbosiero, K. L., and Galarneau Jr., T. J.: An evaluation of the Worldwide Lightning Location Network (WWLLN) using the National Lightning Detection Network (NLDN) as ground truth, J. Geophys. Res., 115, D18206, https://doi.org/10.1029/2009JD013411, 2010.
Allen, D. J. and Pickering, K. E.: Evaluation of lightning flash rate parameterizations for use in a global chemical transport model, J. Geophys. Res., 107, 4711, https://doi.org/10.1029/2002JD002066, 2002.
Arakawa, A. and Schubert, W. H.: The interaction of a cumulus cloud ensemble with the large-scale environment, J. Atmos. Sci., 31, 674–701, 1974.
Beirle, S., Spichtinger, N., Stohl, A., Cummins, K. L., Turner, T., Boccippio, D., Cooper, O. R., Wenig, M., Grzegorski, M., Platt, U., and Wagner, T.: Estimating the NOx produced by lightning from GOME and NLDN data: a case study in the Gulf of Mexico, Atmos. Chem. Phys., 6, 1075–1089, https://doi.org/10.5194/acp-6-1075-2006, 2006.
Boccippio, D. J.: Lightning scaling relations revisited, J. Atmos. Sci., 59, 1086–1104, 2002.
Download
Altmetrics
Final-revised paper
Preprint