Articles | Volume 25, issue 19
https://doi.org/10.5194/acp-25-12101-2025
© Author(s) 2025. 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-25-12101-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Oct 2025
Research article |
| 07 Oct 2025
| 07 Oct 2025
Influence of biogenic NO emissions from soil on atmospheric chemistry over Africa: a regional modelling study
Eric Martial Yao
CORRESPONDING AUTHOR
Laboratoire des Sciences et Technologies de l'Environnement, Université Jean Lorougnon Guédé, Daloa, Côte d'Ivoire
Laboratoire d'Aérologie, Université Paul Sabatier Toulouse III, CNRS, IRD, 14 Avenue Edouard Belin, 31400 Toulouse, France
Fabien Solmon
CORRESPONDING AUTHOR
Laboratoire d'Aérologie, Université Paul Sabatier Toulouse III, CNRS, IRD, 14 Avenue Edouard Belin, 31400 Toulouse, France
Marcellin Adon
Laboratoire des Sciences et Technologies de l'Environnement, Université Jean Lorougnon Guédé, Daloa, Côte d'Ivoire
Claire Delon
Laboratoire d'Aérologie, Université Paul Sabatier Toulouse III, CNRS, IRD, 14 Avenue Edouard Belin, 31400 Toulouse, France
Corinne Galy-Lacaux
Laboratoire d'Aérologie, Université Paul Sabatier Toulouse III, CNRS, IRD, 14 Avenue Edouard Belin, 31400 Toulouse, France
Graziano Giuliani
Earth System Physics Section, International Centre for Theoretical Physics, 34151 Trieste, Italy
Bastien Sauvage
Laboratoire d'Aérologie, Université Paul Sabatier Toulouse III, CNRS, IRD, 14 Avenue Edouard Belin, 31400 Toulouse, France
Véronique Yoboue
Laboratoire des Sciences de la Matière, de l'Environnement et de l'Energie Solaire, Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire
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Pasquale Sellitto, Audrey Gaudel, and Bastien Sauvage
Atmos. Chem. Phys., 25, 13299–13309, https://doi.org/10.5194/acp-25-13299-2025, https://doi.org/10.5194/acp-25-13299-2025, 2025
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Tropospheric ozone is a potent greenhouse gas: its anthropogenic levels rise contributes to climate change. We evaluate tropospheric ozone trends and climate impacts with aircraft data and a radiative model, comparing a baseline period (1994–2004) to different recent time periods (2011–2016 to 2020-2023). Tropospheric ozone levels increasing trends progressively stopped and even decreased in the upper troposphere. Correspondingly, the decadal ozone radiative forcing is progressively decreasing.
Xiao Lu, Yiming Liu, Jiayin Su, Xiang Weng, Tabish Ansari, Yuqiang Zhang, Guowen He, Yuqi Zhu, Haolin Wang, Ganquan Zeng, Jingyu Li, Cheng He, Shuai Li, Teerachai Amnuaylojaroen, Tim Butler, Qi Fan, Shaojia Fan, Grant L. Forster, Meng Gao, Jianlin Hu, Yugo Kanaya, Mohd Talib Latif, Keding Lu, Philippe Nédélec, Peer Nowack, Bastien Sauvage, Xiaobin Xu, Lin Zhang, Ke Li, Ja-Ho Koo, and Tatsuya Nagashima
Atmos. Chem. Phys., 25, 7991–8028, https://doi.org/10.5194/acp-25-7991-2025, https://doi.org/10.5194/acp-25-7991-2025, 2025
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This study analyzes summertime ozone trends in East and Southeast Asia derived from a comprehensive observational database spanning from 1995 to 2019, incorporating aircraft observations, ozonesonde data, and measurements from 2500 surface sites. Multiple models are applied to attribute to changes in anthropogenic emissions and climate. The results highlight that increases in anthropogenic emissions are the primary driver of ozone increases both in the free troposphere and at the surface.
Nana Wei, Eloise A. Marais, Gongda Lu, Robert G. Ryan, and Bastien Sauvage
Atmos. Chem. Phys., 25, 7925–7940, https://doi.org/10.5194/acp-25-7925-2025, https://doi.org/10.5194/acp-25-7925-2025, 2025
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This study uses reactive nitrogen observations from NASA DC-8 research aircraft and the In-service Aircraft for a Global Observing System (IAGOS) campaigns to characterize reactive nitrogen seasonality and composition in the global upper troposphere and to diagnose the greatest knowledge gaps from comparison to a state-of-the-science model, GEOS-Chem, that need to be resolved for climate, nitrogen cycle, and air pollution assessments.
Seydina Mohamad Ba, Olivier Roupsard, Lydie Chapuis-Lardy, Frédéric Bouvery, Yélognissè Agbohessou, Maxime Duthoit, Aleksander Wieckowski, Torbern Tagesson, Mohamed Habibou Assouma, Espoir Koudjo Gaglo, Claire Delon, Bienvenu Sambou, and Dominique Serça
EGUsphere, https://doi.org/10.5194/egusphere-2025-2660, https://doi.org/10.5194/egusphere-2025-2660, 2025
This preprint is open for discussion and under review for SOIL (SOIL).
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This study offers a major advancement in understanding CO2 fluxes in Sahelian agro-silvo-pastoral systems by combining continuous high-frequency automated soil chambers and Eddy Covariance methods over one year. It reveals the critical role of Faidherbia albida trees in carbon cycling and ecosystem productivity, providing rare, high-resolution data to inform climate mitigation strategies and ecosystem models in semi-arid African landscapes.
Anne M. Thompson, Ryan M. Stauffer, Debra E. Kollonige, Jerald R. Ziemke, Maria Cazorla, Pawel Wolff, and Bastien Sauvage
EGUsphere, https://doi.org/10.5194/egusphere-2024-3761, https://doi.org/10.5194/egusphere-2024-3761, 2025
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This paper uses tropical ozone profiles from balloon borne instruments and aircraft to show that ozone in the free troposphere is not growing fast except over equatorial SE Asia.
Brice Barret, Pierre Loicq, Eric Le Flochmoën, Yasmine Bennouna, Juliette Hadji-Lazaro, Daniel Hurtmans, and Bastien Sauvage
Atmos. Meas. Tech., 18, 129–149, https://doi.org/10.5194/amt-18-129-2025, https://doi.org/10.5194/amt-18-129-2025, 2025
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Profiles of carbon monoxide (CO) retrieved from the Infrared Atmospheric Sounding Interferometer (IASI) with the SOftware for a Fast Retrieval of IASI Data (SOFRID) and Fast Optimal Retrievals on Layers for IASI (FORLI) are validated with 8500 observations at 33 airports from the In-service Aircraft for a Global Observing System (IAGOS) for 2008–2019. IASI retrievals underestimate CO, with stronger bias in the middle to upper troposphere for SOFRID and in the lower troposphere for FORLI.
Thibaut Lebourgeois, Bastien Sauvage, Pawel Wolff, Béatrice Josse, Virginie Marécal, Yasmine Bennouna, Romain Blot, Damien Boulanger, Hannah Clark, Jean-Marc Cousin, Philippe Nedelec, and Valérie Thouret
Atmos. Chem. Phys., 24, 13975–14004, https://doi.org/10.5194/acp-24-13975-2024, https://doi.org/10.5194/acp-24-13975-2024, 2024
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Our study examines intense-carbon-monoxide (CO) pollution events measured by commercial aircraft from the In-service Aircraft for a Global Observing System (IAGOS) research infrastructure. We combine these measurements with the SOFT-IO model to trace the origin of the observed CO. A comprehensive analysis of the geographical origin, source type, seasonal variation, and ozone levels of these pollution events is provided.
Hagninou Elagnon Venance Donnou, Aristide Barthélémy Akpo, Money Ossohou, Claire Delon, Véronique Yoboué, Dungall Laouali, Marie Ouafo-Leumbe, Pieter Gideon Van Zyl, Ousmane Ndiaye, Eric Gardrat, Maria Dias-Alves, and Corinne Galy-Lacaux
Atmos. Chem. Phys., 24, 13151–13182, https://doi.org/10.5194/acp-24-13151-2024, https://doi.org/10.5194/acp-24-13151-2024, 2024
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Ozone is a secondary air pollutant that is detrimental to human and plant health. A better understanding of its chemical evolution is a challenge for Africa, where it is still undersampled. Out of 14 sites examined (1995–2020), high levels of O3 are reported in southern Africa. The dominant chemical processes leading to O3 formation are identified. A decrease in O3 is observed at Katibougou (Mali) and Banizoumbou (Niger), and an increase is found at Zoétélé (Cameroon) and Skukuza (South Africa).
Marc Mallet, Aurore Voldoire, Fabien Solmon, Pierre Nabat, Thomas Drugé, and Romain Roehrig
Atmos. Chem. Phys., 24, 12509–12535, https://doi.org/10.5194/acp-24-12509-2024, https://doi.org/10.5194/acp-24-12509-2024, 2024
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This study investigates the interactions between smoke aerosols and climate in tropical Africa using a coupled ocean–atmosphere–aerosol climate model. The work shows that smoke plumes have a significant impact by increasing the low-cloud fraction, decreasing the ocean and continental surface temperature and reducing the precipitation of coastal western Africa. It also highlights the role of the ocean temperature response and its feedbacks for the September–November season.
Audrey Gaudel, Ilann Bourgeois, Meng Li, Kai-Lan Chang, Jerald Ziemke, Bastien Sauvage, Ryan M. Stauffer, Anne M. Thompson, Debra E. Kollonige, Nadia Smith, Daan Hubert, Arno Keppens, Juan Cuesta, Klaus-Peter Heue, Pepijn Veefkind, Kenneth Aikin, Jeff Peischl, Chelsea R. Thompson, Thomas B. Ryerson, Gregory J. Frost, Brian C. McDonald, and Owen R. Cooper
Atmos. Chem. Phys., 24, 9975–10000, https://doi.org/10.5194/acp-24-9975-2024, https://doi.org/10.5194/acp-24-9975-2024, 2024
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The study examines tropical tropospheric ozone changes. In situ data from 1994–2019 display increased ozone, notably over India, Southeast Asia, and Malaysia and Indonesia. Sparse in situ data limit trend detection for the 15-year period. In situ and satellite data, with limited sampling, struggle to consistently detect trends. Continuous observations are vital over the tropical Pacific Ocean, Indian Ocean, western Africa, and South Asia for accurate ozone trend estimation in these regions.
Yann Cohen, Didier Hauglustaine, Bastien Sauvage, Susanne Rohs, Patrick Konjari, Ulrich Bundke, Andreas Petzold, Valérie Thouret, Andreas Zahn, and Helmut Ziereis
Atmos. Chem. Phys., 23, 14973–15009, https://doi.org/10.5194/acp-23-14973-2023, https://doi.org/10.5194/acp-23-14973-2023, 2023
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The upper troposphere–lower stratosphere (UTLS) is a key region regarding the lower atmospheric composition. This study consists of a comprehensive evaluation of an up-to-date chemistry–climate model in this layer, using regular in situ measurements based on passenger aircraft. For this purpose, a specific software (Interpol-IAGOS) has been updated and made publicly available. The model reproduces the carbon monoxide peaks due to biomass burning over the continental tropics particularly well.
Maria Tsivlidou, Bastien Sauvage, Yasmine Bennouna, Romain Blot, Damien Boulanger, Hannah Clark, Eric Le Flochmoën, Philippe Nédélec, Valérie Thouret, Pawel Wolff, and Brice Barret
Atmos. Chem. Phys., 23, 14039–14063, https://doi.org/10.5194/acp-23-14039-2023, https://doi.org/10.5194/acp-23-14039-2023, 2023
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The tropics are a region where the ozone increase has been most apparent since 1980 and where observations are sparse. Using aircraft, satellite, and model data, we document the characteristics of tropospheric ozone and CO over the whole tropics for the last 2 decades. We explore the origin of the observed CO anomalies and investigate transport processes driving the tropical CO and O3 distribution. Our study highlights the importance of anthropogenic emissions, mostly over the northern tropics.
Susanna Strada, Andrea Pozzer, Graziano Giuliani, Erika Coppola, Fabien Solmon, Xiaoyan Jiang, Alex Guenther, Efstratios Bourtsoukidis, Dominique Serça, Jonathan Williams, and Filippo Giorgi
Atmos. Chem. Phys., 23, 13301–13327, https://doi.org/10.5194/acp-23-13301-2023, https://doi.org/10.5194/acp-23-13301-2023, 2023
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Water deficit modifies emissions of isoprene, an aromatic compound released by plants that influences the production of an air pollutant such as ozone. Numerical modelling shows that, during the warmest and driest summers, isoprene decreases between −20 and −60 % over the Euro-Mediterranean region, while near-surface ozone only diminishes by a few percent. Decreases in isoprene emissions not only happen under dry conditions, but also could occur after prolonged or repeated water deficits.
Money Ossohou, Jonathan Edward Hickman, Lieven Clarisse, Pierre-François Coheur, Martin Van Damme, Marcellin Adon, Véronique Yoboué, Eric Gardrat, Maria Dias Alvès, and Corinne Galy-Lacaux
Atmos. Chem. Phys., 23, 9473–9494, https://doi.org/10.5194/acp-23-9473-2023, https://doi.org/10.5194/acp-23-9473-2023, 2023
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The updated analyses of ground-based concentrations and satellite total vertical columns of atmospheric ammonia help us to better understand 21st century ammonia dynamics in sub-Saharan Africa. We conclude that the drivers of trends are agriculture in the dry savanna of Katibougou, Mali; air temperature and agriculture in the wet savanna of Djougou, Benin, and Lamto, Côte d'Ivoire; and leaf area index, air temperature, residential, and agriculture in forests of Bomassa, Republic of Congo.
Sudipta Ghosh, Sagnik Dey, Sushant Das, Nicole Riemer, Graziano Giuliani, Dilip Ganguly, Chandra Venkataraman, Filippo Giorgi, Sachchida Nand Tripathi, Srikanthan Ramachandran, Thazhathakal Ayyappen Rajesh, Harish Gadhavi, and Atul Kumar Srivastava
Geosci. Model Dev., 16, 1–15, https://doi.org/10.5194/gmd-16-1-2023, https://doi.org/10.5194/gmd-16-1-2023, 2023
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Accurate representation of aerosols in climate models is critical for minimizing the uncertainty in climate projections. Here, we implement region-specific emission fluxes and a more accurate scheme for carbonaceous aerosol ageing processes in a regional climate model (RegCM4) and show that it improves model performance significantly against in situ, reanalysis, and satellite data over the Indian subcontinent. We recommend improving the model performance before using them for climate studies.
Mohamed Lamine Kassamba-Diaby, Corinne Galy-Lacaux, Veronique Yoboué, Jonathan E. Hickman, Kerneels Jaars, Sylvain Gnamien, Richmond Konan, Eric Gardrat, and Siele Silué
EGUsphere, https://doi.org/10.5194/egusphere-2022-994, https://doi.org/10.5194/egusphere-2022-994, 2022
Preprint archived
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This work presents the chemical composition of precipitation from 2018 to 2020 at three sites representative of a south-north transect in Côte d'Ivoire. It includes two urban sites (Abidjan and Korhogo) and one rural site (Lamto). Measured rain chemical content and wet deposition fluxes highlights different dominant sources contributions i.e anthropogenic sources (traffic, construction, industry) at urban sites and biomass burning at the rural site.
Haolin Wang, Xiao Lu, Daniel J. Jacob, Owen R. Cooper, Kai-Lan Chang, Ke Li, Meng Gao, Yiming Liu, Bosi Sheng, Kai Wu, Tongwen Wu, Jie Zhang, Bastien Sauvage, Philippe Nédélec, Romain Blot, and Shaojia Fan
Atmos. Chem. Phys., 22, 13753–13782, https://doi.org/10.5194/acp-22-13753-2022, https://doi.org/10.5194/acp-22-13753-2022, 2022
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We report significant global tropospheric ozone increases in 1995–2017 based on extensive aircraft and ozonesonde observations. Using GEOS-Chem (Goddard Earth Observing System chemistry model) multi-decadal global simulations, we find that changes in global anthropogenic emissions, in particular the rapid increases in aircraft emissions, contribute significantly to the increases in tropospheric ozone and resulting radiative impact.
Graciela B. Raga, Darrel Baumgardner, Blanca Rios, Yanet Díaz-Esteban, Alejandro Jaramillo, Martin Gallagher, Bastien Sauvage, Pawel Wolff, and Gary Lloyd
Atmos. Chem. Phys., 22, 2269–2292, https://doi.org/10.5194/acp-22-2269-2022, https://doi.org/10.5194/acp-22-2269-2022, 2022
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The In-Service Aircraft for a Global Observing System (IAGOS) is a small fleet of commercial aircraft that carry a suite of meteorological, gas, aerosol, and cloud sensors and have been measuring worldwide for almost 9 years, since late 2011. Extreme ice events (EIEs) have been identified from the IAGOS cloud measurements and linked to surface emissions for biomass and fossil fuel consumption. The results reported here are highly relevant for climate change and flight operations forecasting.
Erika Coppola, Paolo Stocchi, Emanuela Pichelli, Jose Abraham Torres Alavez, Russell Glazer, Graziano Giuliani, Fabio Di Sante, Rita Nogherotto, and Filippo Giorgi
Geosci. Model Dev., 14, 7705–7723, https://doi.org/10.5194/gmd-14-7705-2021, https://doi.org/10.5194/gmd-14-7705-2021, 2021
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In this work we describe the development of a non-hydrostatic version of the regional climate model RegCM4-NH, implemented to allow simulations at convection-permitting scales of <4 km for climate applications. The new core is described, and three case studies of intense convection are carried out to illustrate the model performances. Comparison with observations is much improved with respect to with coarse grid runs. RegCM4-NH offers a promising tool for climate investigations at a local scale.
Hannah Clark, Yasmine Bennouna, Maria Tsivlidou, Pawel Wolff, Bastien Sauvage, Brice Barret, Eric Le Flochmoën, Romain Blot, Damien Boulanger, Jean-Marc Cousin, Philippe Nédélec, Andreas Petzold, and Valérie Thouret
Atmos. Chem. Phys., 21, 16237–16256, https://doi.org/10.5194/acp-21-16237-2021, https://doi.org/10.5194/acp-21-16237-2021, 2021
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We examined 27 years of IAGOS (In-service Aircraft for a Global Observing System) profiles at Frankfurt to see if there were unusual features during the spring of 2020 related to COVID-19 lockdowns in Europe. Increased ozone near the surface was partly linked to the reduction in emissions. Carbon monoxide decreased near the surface, but the impact of the lockdowns was offset by polluted air masses from elsewhere. There were small reductions in ozone and carbon monoxide in the free troposphere.
Victor Lannuque, Bastien Sauvage, Brice Barret, Hannah Clark, Gilles Athier, Damien Boulanger, Jean-Pierre Cammas, Jean-Marc Cousin, Alain Fontaine, Eric Le Flochmoën, Philippe Nédélec, Hervé Petetin, Isabelle Pfaffenzeller, Susanne Rohs, Herman G. J. Smit, Pawel Wolff, and Valérie Thouret
Atmos. Chem. Phys., 21, 14535–14555, https://doi.org/10.5194/acp-21-14535-2021, https://doi.org/10.5194/acp-21-14535-2021, 2021
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The African intertropical troposphere is one of the world areas where the increase in ozone mixing ratio has been most pronounced since 1980 and where high carbon monoxide mixing ratios are found in altitude. In this article, IAGOS aircraft measurements, IASI satellite instrument observations, and SOFT-IO model products are used to explore the seasonal distribution variations and the origin of ozone and carbon monoxide over the African upper troposphere.
Sekou Keita, Catherine Liousse, Eric-Michel Assamoi, Thierno Doumbia, Evelyne Touré N'Datchoh, Sylvain Gnamien, Nellie Elguindi, Claire Granier, and Véronique Yoboué
Earth Syst. Sci. Data, 13, 3691–3705, https://doi.org/10.5194/essd-13-3691-2021, https://doi.org/10.5194/essd-13-3691-2021, 2021
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This inventory fills the gap in African regional inventories, providing biofuel and fossil fuel emissions that take into account African specificities. It could be used for air quality modeling. We show that all pollutant emissions are globally increasing during the period 1990–2015. Also, West Africa and East Africa emissions are largely due to domestic fire and traffic activities, while southern Africa and northern Africa emissions are largely due to industrial and power plant sources.
Romain Blot, Philippe Nedelec, Damien Boulanger, Pawel Wolff, Bastien Sauvage, Jean-Marc Cousin, Gilles Athier, Andreas Zahn, Florian Obersteiner, Dieter Scharffe, Hervé Petetin, Yasmine Bennouna, Hannah Clark, and Valérie Thouret
Atmos. Meas. Tech., 14, 3935–3951, https://doi.org/10.5194/amt-14-3935-2021, https://doi.org/10.5194/amt-14-3935-2021, 2021
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A lack of information about temporal changes in measurement uncertainties is an area of concern for long-term trend studies of the key compounds which have a direct or indirect impact on climate change. The IAGOS program has measured O3 and CO within the troposphere and lower stratosphere for more than 25 years. In this study, we demonstrated that the IAGOS database can be treated as one continuous program and is therefore appropriate for studies of long-term trends.
Keun-Ok Lee, Brice Barret, Eric L. Flochmoën, Pierre Tulet, Silvia Bucci, Marc von Hobe, Corinna Kloss, Bernard Legras, Maud Leriche, Bastien Sauvage, Fabrizio Ravegnani, and Alexey Ulanovsky
Atmos. Chem. Phys., 21, 3255–3274, https://doi.org/10.5194/acp-21-3255-2021, https://doi.org/10.5194/acp-21-3255-2021, 2021
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This paper focuses on the emission sources and pathways of pollution from the boundary layer to the Asian monsoon anticyclone (AMA) during the StratoClim aircraft campaign period. Simulations with the Meso-NH cloud-chemistry model at a horizontal resolution of 15 km are performed over the Asian region to characterize the impact of monsoon deep convection on the composition of AMA and on the formation of the Asian tropopause aerosol layer during the StratoClim campaign.
Maurin Zouzoua, Fabienne Lohou, Paul Assamoi, Marie Lothon, Véronique Yoboue, Cheikh Dione, Norbert Kalthoff, Bianca Adler, Karmen Babić, Xabier Pedruzo-Bagazgoitia, and Solène Derrien
Atmos. Chem. Phys., 21, 2027–2051, https://doi.org/10.5194/acp-21-2027-2021, https://doi.org/10.5194/acp-21-2027-2021, 2021
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Based on a field experiment conducted in June and July 2016, we analyzed the daytime breakup of continental low-level stratiform clouds over southern West Africa in order to provide complementary guidance for model evaluation during the monsoon season. Those clouds exhibit weaker temperature and moisture jumps at the top compared to marine stratiform clouds. Their lifetime and the transition towards shallow convective clouds during daytime hours depend on their coupling with the surface.
Jean-François Léon, Aristide Barthélémy Akpo, Mouhamadou Bedou, Julien Djossou, Marleine Bodjrenou, Véronique Yoboué, and Cathy Liousse
Atmos. Chem. Phys., 21, 1815–1834, https://doi.org/10.5194/acp-21-1815-2021, https://doi.org/10.5194/acp-21-1815-2021, 2021
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We have investigated the aerosol optical depth (AOD) and its relation to PM2.5 surface concentrations in southern West Africa based on in situ observations (2015–2017 period) and MODIS satellite data (2003–2019). MODIS AODs are validated using a regional network of handheld and automatic sun photometers. Satellite-derived PM2.5 shows an increasing trend during the short dry period that is possibly linked to the increase in anthropogenic emission over this area.
Marc Mallet, Fabien Solmon, Pierre Nabat, Nellie Elguindi, Fabien Waquet, Dominique Bouniol, Andrew Mark Sayer, Kerry Meyer, Romain Roehrig, Martine Michou, Paquita Zuidema, Cyrille Flamant, Jens Redemann, and Paola Formenti
Atmos. Chem. Phys., 20, 13191–13216, https://doi.org/10.5194/acp-20-13191-2020, https://doi.org/10.5194/acp-20-13191-2020, 2020
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This paper presents numerical simulations using two regional climate models to study the impact of biomass fire plumes from central Africa on the radiative balance of this region. The results indicate that biomass fires can either warm the regional climate when they are located above low clouds or cool it when they are located above land. They can also alter sea and land surface temperatures by decreasing solar radiation at the surface. Finally, they can also modify the atmospheric dynamics.
Cited articles
Adon, M., Galy-Lacaux, C., Yoboué, V., Delon, C., Lacaux, J. P., Castera, P., Gardrat, E., Pienaar, J., Al Ourabi, H., Laouali, D., Diop, B., Sigha-Nkamdjou, L., Akpo, A., Tathy, J. P., Lavenu, F., and Mougin, E.: Long term measurements of sulfur dioxide, nitrogen dioxide, ammonia, nitric acid and ozone in Africa using passive samplers, Atmos. Chem. Phys., 10, 7467–7487, https://doi.org/10.5194/acp-10-7467-2010, 2010. a, b, c, d
Adon, M., Galy-Lacaux, C., Delon, C., Yoboue, V., Solmon, F., and Kaptue Tchuente, A.: Dry deposition of nitrogen compounds (NO2, HNO3, NH3), sulfur dioxide and ozone in west and central African ecosystems using the inferential method, Atmos. Chem. Phys., 13, 11351–11374, https://doi.org/10.5194/acp-13-11351-2013, 2013. a, b
Aghedo, A. M., Schultz, M. G., and Rast, S.: The influence of African air pollution on regional and global tropospheric ozone, Atmos. Chem. Phys., 7, 1193–1212, https://doi.org/10.5194/acp-7-1193-2007, 2007. a
Ainsworth, E. A., Yendrek, C. R., Sitch, S., Collins, W. J., and Emberson, L. D.: The Effects of Tropospheric Ozone on Net Primary Productivity and Implications for Climate Change, Annu. Rev. Plant Biol., 63, 637–661, https://doi.org/10.1146/annurev-arplant-042110-103829, 2012. a
Akpo, A., Galy-Lacaux, C., Delon, C., Gardrat, E., Dias Alves, M., Lenoir, O., Halisson, J., Darakpa, C., and Darakpa, D.: Trace gases, Djougou, Benin, Aeris [data set], https://doi.org/10.25326/605, 2023. a
Austin, A. T., Yahdjian, L., Stark, J. M., Belnap, J., Porporato, A., Norton, U., Ravetta, D. A., and Schaeffer, S. M.: Water pulses and biogeochemical cycles in arid and semiarid ecosystems, Oecologia, 141, 221–235, https://doi.org/10.1007/s00442-004-1519-1, 2004. a
Bahino, J., Yoboué, V., Galy-Lacaux, C., Adon, M., Akpo, A., Keita, S., Liousse, C., Gardrat, E., Chiron, C., Ossohou, M., Gnamien, S., and Djossou, J.: A pilot study of gaseous pollutants' measurement (NO2, SO2, NH3, HNO3 and O3) in Abidjan, Côte d'Ivoire: contribution to an overview of gaseous pollution in African cities, Atmos. Chem. Phys., 18, 5173–5198, https://doi.org/10.5194/acp-18-5173-2018, 2018. a
Ban, N., Caillaud, C., Coppola, E., Pichelli, E., Sobolowski, S., Adinolfi, M., Ahrens, B., Alias, A., Anders, I., Bastin, S., Belušić, D., Berthou, S., Brisson, E., Cardoso, R. M., Chan, S. C., Christensen, O. B., Fernández, J., Fita, L., Frisius, T., Gašparac, G., Giorgi, F., Goergen, K., Haugen, J. E., Hodnebrog, Ø., Kartsios, S., Katragkou, E., Kendon, E. J., Keuler, K., Lavin-Gullon, A., Lenderink, G., Leutwyler, D., Lorenz, T., Maraun, D., Mercogliano, P., Milovac, J., Panitz, H.-J., Raffa, M., Reca Remedio, A., Schär, C., Soares, P. M. M., Srnec, L., Steensen, B. M., Stocchi, P., Tölle, M. H., Truhetz, H., Vergara-Temprado, J., de Vries, H., Warrach-Sagi, K., Wulfmeyer, V., and Zander, M. J.: The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation, Clim. Dynam., 57, 275–302, https://doi.org/10.1007/s00382-021-05708-w, 2021. a
Bretherton, C. S., McCaa, J. R., and Grenier, H.: A new parameterization for shallow cumulus convection and its application to marine subtropical cloud-topped boundary layers. Part I: Description and 1D results, Mon. Weather Rev., 132, 864–882, https://doi.org/10.1175/1520-0493(2004)132<0864:ANPFSC>2.0.CO;2, 2004. a
Bryan, A. M. and Steiner, A. L.: Canopy controls on the forest-atmosphere exchange of biogenic ozone and aerosol precursors, Michigan J. Sustainabil., 1, https://doi.org/10.3998/mjs.12333712.0001.005, 2013. a
Bucchignani, E., Mercogliano, P., Panitz, H.-J., and Montesarchio, M.: Climate change projections for the Middle East–North Africa domain with COSMO-CLM at different spatial resolutions, Adv. Climate Change Res., 9, 66–80, https://doi.org/10.1016/j.accre.2018.01.004, 2018. a
Butterbach-Bahl, K., Kock, M., Willibald, G., Hewett, B., Buhagiar, S., Papen, H., and Kiese, R.: Temporal variations of fluxes of NO, NO2, N2O, CO2, and CH4 in a tropical rain forest ecosystem, Global Biogeochem. Cy., 18, https://doi.org/10.1029/2004GB002243, 2004. a
Cao, L., Li, S., and Sun, L.: Study of different Carbon Bond 6 (CB6) mechanisms by using a concentration sensitivity analysis, Atmos. Chem. Phys., 21, 12687–12701, https://doi.org/10.5194/acp-21-12687-2021, 2021. a, b
Carmichael, G. R., Ferm, M., Thongboonchoo, N., Woo, J.-H., Chan, L., Murano, K., Viet, P. H., Mossberg, C., Bala, R., Boonjawat, J., Upatum, P., Mohan, M., Adhikary, S. P., Shrestha, A. B., Pienaar, J. J., Brunke, E. B., Chen, T., Jie, T., Guoan, D., Peng, L. C., Dhiharto, S., Harjanto, H., Jose, A. M., Kimani, W., Kirouane, A., Lacaux, J.-P., Richard, S., Barturen, O., Cerda, J. C., Athayde, A., Tavares, T., Cotrina, J. S., and Bilici, E.: Measurements of sulfur dioxide, ozone and ammonia concentrations in Asia, Africa, and South America using passive samplers, Atmos. Environ., 37, 1293–1308, https://doi.org/10.1016/S1352-2310(02)01009-9, 2003. a, b
Carter, W. P. L.: Development of the SAPRC-07 chemical mechanism, Atmos. Environ., 44, 5324–5335, https://doi.org/10.1016/j.atmosenv.2010.01.026, 2010. a
Charusombat, U., Niyogi, D., Kumar, A., Wang, X., Chen, F., Guenther, A., Turnipseed, A., and Alapaty, K.: Evaluating a new deposition velocity module in the Noah land-surface model, Bound.-Lay. Meteorol., 137, 271–290, https://doi.org/10.1007/s10546-010-9531-y, 2010. a
Chauvin, F., Roehrig, R., and Lafore, J.-P.: Intraseasonal variability of the Saharan heat low and its link with midlatitudes, J. Climate, 23, 2544–2561, https://doi.org/10.1175/2010JCLI3093.1, 2010. a
Ciarlo, J., Aquilina, N., Strada, S., Shalaby, A., and Solmon, F.: A modified gas-phase scheme for advanced regional climate modelling with RegCM4, Clim. Dynam., 57, 489–502, https://doi.org/10.1007/s00382-021-05722-y, 2021. a, b, c
Cooper, M.: Satellite-derived ground level NO2 concentrations, 2005-2019, Zenodo [code], https://doi.org/10.5281/zenodo.5424752 (last access: 24 September 2024), 2022. a
Cooper, M. J., Martin, R. V., McLinden, C. A., and Brook, J. R.: Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument, Environ. Res. Lett., 15, 104013, https://doi.org/10.1088/1748-9326/aba3a5, 2020a. a
Cooper, M. J., Martin, R. V., McLinden, C. A., and Brook, J. R.: Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument, Environ. Res. Lett., 15, 104013, https://doi.org/10.1088/1748-9326/aba3a5, 2020b. a
Cooper, M. J., Martin, R. V., Hammer, M. S., Levelt, P. F., Veefkind, P., Lamsal, L. N., Krotkov, N. A., Brook, J. R., and McLinden, C. A.: Global fine-scale changes in ambient NO2 during COVID-19 lockdowns, Nature, 601, 380–387, https://doi.org/10.1038/s41586-021-04229-0, 2022. a, b, c
Coppola, E., Sobolowski, S., Pichelli, E., Raffaele, F., Ahrens, B., Anders, I., Ban, N., Bastin, S., Belda, M., Belusic, D., Caldas-Alvarez, A., Cardoso, R. M., Davolio, S., Dobler, A., Fernández, J., Fita, L., Fumière, Q., Giorgi, F., Goergen, K., Güttler, I., Halenka, T., Heinzeller, D., Hodnebrog, Ø., Jacob, D., Kartsios, S., Katragkou, E., Kendon, E., Khodayar, S., Kunstmann, H., Knist, S., Lavín-Gullón, A., Lind, P., Lorenz, T., Maraun, D., Marelle, L., Van Meijgaard, E., Milovac, J., Myhre, G., Panitz, H.-J., Piazza, M., Raffa, M., Raub, T., Rockel, B., Schär, C., Sieck, K., Soares, P. M. M., Somot, S., Srnec, L., Stocchi, P., Tölle, M. H., Truhetz, H., Vautard, R., De Vries, H., and Warrach-Sagi, K.: A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean, Clim. Dynam., 55, 3–34, https://doi.org/10.1007/s00382-018-4521-8, 2020. a
Davidson, E. A. and Kingerlee, W.: A global inventory of nitric oxide emissions from soils, Nutr. Cycl. Agroecosyst., 48, 37–50, https://doi.org/10.1023/A:1009738715891, 1997. a, b
Davidson, E. A., Keller, M., Erickson, H. E., Verchot, L. V., and Veldkamp, E.: Testing a conceptual model of soil emissions of nitrous and nitric oxides: using two functions based on soil nitrogen availability and soil water content, the hole-in-the-pipe model characterizes a large fraction of the observed variation of nitric oxide and nitrous oxide emissions from soils, Bioscience, 50, 667–680, https://doi.org/10.1641/0006-3568(2000)050[0667:TACMOS]2.0.CO;2, 2000. a
Davolio, S., Malguzzi, P., Drofa, O., Mastrangelo, D., and Buzzi, A.: The Piedmont flood of November 1994: A testbed of forecasting capabilities of the CNR-ISAC meteorological model suite, Bull. Atmos. Sci. Technol., 1, 263–282, 2020. a
Delmas, R., Peuch, V.-H., Mégie, G., and Brasseur, G. P.: Emissions anthropiques et naturelles et dépôts, in: Physique et chimie de l'atmosphère, chap. 5, Belin, ISBN 2-7011-3700-4, 1995. a
Delon, C., Reeves, C., Stewart, D., Serça, D., Dupont, R., Mari, C., Chaboureau, J.-P., and Tulet, P.: Biogenic nitrogen oxide emissions from soils–impact on NOx and ozone over West Africa during AMMA (African Monsoon Multidisciplinary Experiment): modelling study, Atmos. Chem. Phys., 8, 2351–2363, https://doi.org/10.5194/acp-8-2351-2008, 2008. a, b, c, d, e, f, g, h, i, j
Delon, C., Galy-Lacaux, C., Boone, A., Liousse, C., Serça, D., Adon, M., Diop, B., Akpo, A., Lavenu, F., Mougin, E., and Timouk, F.: Atmospheric nitrogen budget in Sahelian dry savannas, Atmos. Chem. Phys., 10, 2691–2708, https://doi.org/10.5194/acp-10-2691-2010, 2010. a, b, c
Delon, C., Galy-Lacaux, C., Adon, M., Liousse, C., Serça, D., Diop, B., and Akpo, A.: Nitrogen compounds emission and deposition in West African ecosystems: comparison between wet and dry savanna, Biogeosciences, 9, 385–402, https://doi.org/10.5194/bg-9-385-2012, 2012. a, b, c
Delon, C., Mougin, E., Serça, D., Grippa, M., Hiernaux, P., Diawara, M., Galy-Lacaux, C., and Kergoat, L.: Modelling the effect of soil moisture and organic matter degradation on biogenic NO emissions from soils in Sahel rangeland (Mali), Biogeosciences, 12, 3253–3272, https://doi.org/10.5194/bg-12-3253-2015, 2015. a, b
Delon, C., Galy-Lacaux, C., Serça, D., Loubet, B., Camara, N., Gardrat, E., Saneh, I., Fensholt, R., Tagesson, T., Le Dantec, V., Sambou, B., Diop, C., and Mougin, E.: Soil and vegetation-atmosphere exchange of NO, NH3, and N2O from field measurements in a semi arid grazed ecosystem in Senegal, Atmos. Environ., 156, 36–51, https://doi.org/10.1016/j.atmosenv.2017.02.024, 2017. a
Dickinson, R. E.: Biosphere/atmosphere transfer scheme (BATS) for the NCAR community climate model, Technical report, National Center for Research, https://cir.nii.ac.jp/crid/1574231873842566272 (last access: 23 November 2023), 1986. a
Dickinson, R. E., Errico, R. M., Giorgi, F., and Bates, G. T.: A regional climate model for the Western United States, Climate Change, 15, 383–422, https://doi.org/10.1007/bf00240465, 1989. a
Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J.-F., Pfister, G. G., Fillmore, D., Granier, C., Guenther, A., Kinnison, D., Laepple, T., Orlando, J., Tie, X., Tyndall, G., Wiedinmyer, C., Baughcum, S. L., and Kloster, S.: Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4), Geosci. Model Dev., 3, 43–67, https://doi.org/10.5194/gmd-3-43-2010, 2010. a
Evan, A. T., Flamant, C., Lavaysse, C., Kocha, C., and Saci, A.: Water vapor–forced greenhouse warming over the Sahara Desert and the recent recovery from the Sahelian drought, J. Climate, 28, 108–123, https://doi.org/10.1175/JCLI-D-14-00039.1, 2015. a
*FAAM: FAAM Airborne Laboratory, https://www.faam.ac.uk (last access: 26 February 2025), 2018. a
Feig, G., Mamtimin, B., and Meixner, F.: Soil biogenic emissions of nitric oxide from a semi-arid savanna in South Africa, Biogeosciences, 5, 1723–1738, https://doi.org/10.5194/bg-5-1723-2008, 2008. a, b
Ferm, M. and Rodhe, H.: Measurements of air concentrations of SO2, NO2 and NH3 at rural and remote sites in Asia, J. Atmos. Chem., 27, 17–29, https://doi.org/10.1023/A:1005816621522, 1997. a, b
Ferm, M., Lindskog, A., Svanberg, P., and Boström, C.: New measurement technique for air pollutants, Kemisk Tidskrift, 1, 30–32, 1994. a
Flechard, C. R., Simpson, D., Skjøth, C. A., Rees, R. M., Erisman, J. W., Nemitz, E., Milford, C., Sutton, M. A., Hertel, O., Hensen, A., Fowler, D., Fagerli, H., Dore, A. J., Davidson, E. A., Butterbach-Bahl, K., Amman, C., and Agrawal, M.: Dry deposition of reactive nitrogen to European ecosystems: a comparison of inferential models across the NitroEurope network, Atmos. Chem. Phys., 11, 2703–2728, https://doi.org/10.5194/acp-11-2703-2011, 2011. a
Fountoukis, C. and Nenes, A.: ISORROPIA II: a computationally efficient thermodynamic equilibrium model for K+–Ca2+–Mg2+–NH4+–Na+–SO
Fudjoe, S. K., Li, L., Anwar, S., Shi, S., Xie, J., Wang, L., Xie, L., and Yongjie, Z.: Nitrogen fertilization promoted microbial growth and N2O emissions by increasing the abundance of nirS and nosZ denitrifiers in semiarid maize field, Front. Microbiol., 14, 1265562, https://doi.org/10.3389/fmicb.2023.1265562, 2023. a
Galloway, J. N., Townsend, A. R., Erisman, J. W., Bekunda, M., Cai, Z., Freney, J. R., Martinelli, L. A., Seitzinger, S. P., and Sutton, M. A.: Transformation of the nitrogen cycle: recent trends, questions, and potential solutions, Science, 320, 889–892, https://doi.org/10.1126/science.113667, 2008. a
Galy-Lacaux, C. and Modi, A.: Precipitation chemistry in the Sahelian savanna of Niger, Africa, J. Atmos. Chem., 30, 319–343, https://doi.org/10.1023/A:1006027730377, 1998. a
Galy-Lacaux, C., Laouali, D., Descroix, L., Gobron, N., and Liousse, C.: Long term precipitation chemistry and wet deposition in a remote dry savanna site in Africa (Niger), Atmos. Chem. Phys., 9, 1579–1595, https://doi.org/10.5194/acp-9-1579-2009, 2009. a
Galy-Lacaux, C., Diop, B., Orange, D., Sanogo, S., Soumaguel, N., Kanouté, C., Gardrat, E., Dias Alves, M., Lenoir, O., Ossohou, M., Adon, M., and Al-Ourabi, H.: Trace gases, Katibougou, Mali, Aeris [data set], https://doi.org/10.25326/604, 2023a. a
Galy-Lacaux, C., Yoboué, V., Ossohou, M., Gardrat, E., Dias Alves, M., Lenoir, O., Konaté, I., Ki, A., Ouattara, A., Adon, M., Al-Ourabi, H., and Zouzou, R.: Trace gases, Lamto, Côte d'Ivoire, Aeris [data set], https://doi.org/10.25326/275, 2023e. a
Galy-Lacaux, C., Tathy, J.-P., Opepa, C., Brncic, T., Gardrat, E., Dias Alves, M., and Lenoir, O.: Trace gases, Bomassa, Congo, Aeris [data set], https://doi.org/10.25326/607, 2023f. a
Ganzeveld, L. and Lelieveld, J.: Impact of Amazonian deforestation on atmospheric chemistry, Geophys. Res. Lett., 31, https://doi.org/10.1029/2003GL019205, 2004. a
Ganzeveld, L., Lelieveld, J., Dentener, F., Krol, M., Bouwman, A., and Roelofs, G.-J.: Global soil-biogenic NOx emissions and the role of canopy processes, J. Geophys. Res.-Atmos., 107, ACH-9, https://doi.org/10.1029/2001JD000684, 2002. a, b, c
Gasche, R. and Papen, H.: A 3-year continuous record of nitrogen trace gas fluxes from untreated and limed soil of a N-saturated spruce and beech forest ecosystem in Germany: 2. NO and NO2 fluxes, J. Geophys. Res.-Atmos., 104, 18505–18520, https://doi.org/10.1029/1999JD900294, 1999. a
Gery, M. W., Whitten, G. Z., Killus, J. P., and Dodge, M. C.: A photochemical kinetics mechanism for urban and regional scale computer modeling, J. Geophys. Res.-Atmos., 94, 12925–12956, https://doi.org/10.1029/JD094iD10p12925, 1989. a, b
Giglio, L., Randerson, J. T., and van der Werf, G. R.: Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4), J. Geophys. Res.-Biogeo., 118, 317–328, https://doi.org/10.1002/jgrg.20042, 2013. a
Giorgi, F. and Bates, G. T.: The climatological skill of a regional model over complex terrain, Mon. Weather Rev., 117, 2325–2347, https://doi.org/10.1175/1520-0493(1989)117<2325:tcsoar>2.0.co;2, 1989. a
Giorgi, F. and Mearns, L. O.: Introduction to special section: Regional climate modeling revisited, J. Geophys. Res., 104, 6335–6352, https://doi.org/10.1029/98jd02072, 1999. a
Giorgi, F., Coppola, E., Solmon, F., Mariotti, L., Sylla, M., Bi, X., Elguindi, N., Diro, G. T., Nair, V., Giuliani, G., Turuncoglu, U. U., Cozzini, S., Güttler, I., O'Brien, T. A., Tawfik, A. B., Shalaby, A., Zakey, A. S., Steiner, A. L., Stordal, F., Sloan, L. C., and Brankovic, C.: RegCM4: Model description and preliminary tests over multiple CORDEX domains, Clim. Res., 52, 31–48, https://doi.org/10.3354/cr01018, 2012. a
Giorgi, F., Coppola, E., Giuliani, G., Ciarlo, J. M., Pichelli, E., Nogherotto, R., Raffaele, F., Malguzzi, P., Davolio, S., Stocchi, P., and Drofa, O.: The fifth generation regional climate modeling system, RegCM5: Description and illustrative examples at parameterized convection and convection-permitting resolutions, J. Geophys. Res.-Atmos., 128, e2022JD038199, https://doi.org/10.1029/2022JD038199, 2023. a, b
Granier, C., Pétron, G., Müller, J.-F., and Brasseur, G.: The impact of natural and anthropogenic hydrocarbons on the tropospheric budget of carbon monoxide, Atmos. Environ., 34, 5255–5270, https://doi.org/10.1016/S1352-2310(00)00299-5, 2000. a
Granier, C., Guenther, A., Lamarque, J. F., Mieville, A., Muller, J. F., Olivier, J., Orlando, J., Peters, J., Petron, G., Tyndall, G., and Wallens, S.: POET, a database of surface emissions of ozone precursors, http://www.aero.jussieu.fr/projet/ACCENT/POET.php (last access: 25 March 2025), 2005. a
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006. a
Harris, I., Osborn, T. J., Jones, P., and Lister, D.: Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset, Sci. Data, 7, 109, https://doi.org/10.1038/s41597-020-0453-3, 2020. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., De Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteorol. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a, b
Hickman, J. E., Dammers, E., Galy-Lacaux, C., and Van der Werf, G. R.: Satellite evidence of substantial rain-induced soil emissions of ammonia across the Sahel, Atmos. Chem. Phys., 18, 16713–16727, https://doi.org/10.5194/acp-18-16713-2018, 2018. a
Horowitz, L. W., Walters, S., Mauzerall, D. L., Emmons, L. K., Rasch, P. J., Granier, C., Tie, X., Lamarque, J.-F., Schultz, M. G., Tyndall, G. S., Orlando, J. J., and Brasseur, G. P.: A global simulation of tropospheric ozone and related tracers: Description and evaluation of MOZART, version 2, J. Geophys. Res.-Atmos., 108, https://doi.org/10.1029/2002JD002853, 2003. a
Hourdin, F., Musat, I., Guichard, F. S., Ruti, P. M., Favot, F., Filiberti, M.-A., Pham, M., Grandpeix, J.-Y., Polcher, J., Marquet, P., Boone, A., Lafore, J.-P., Redelsperger, J.-L., Dell'Aquila, A., Doval, T. L., Traore, A. K., and Gallée, H.: AMMA-model intercomparison project, B. Am. Meteorol. Soc., 91, 95–104, https://doi.org/10.1175/2009BAMS2791.1, 2010. a
Hudman, R., Moore, N., Mebust, A., Martin, R., Russell, A., Valin, L., and Cohen, R.: Steps towards a mechanistic model of global soil nitric oxide emissions: implementation and space based-constraints, Atmos. Chem. Phys., 12, 7779–7795, https://doi.org/10.5194/acp-12-7779-2012, 2012. a, b, c
Huffman, G. J., Bolvin, D. T., Nelkin, E. J., Wolff, D. B., Adler, R. F., Gu, G., Hong, Y., Bowman, K. P., and Stocker, E. F.: The TRMM multisatellite precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales, J. Hydrometeorol., 8, 38–55, https://doi.org/10.1175/JHM560.1, 2007. a
Huijnen, V., Pozzer, A., Arteta, J., Brasseur, G., Bouarar, I., Chabrillat, S., Christophe, Y., Doumbia, T., Flemming, J., Guth, J., Josse, B., Karydis, V. A., Marécal, V., and Pelletier, S.: Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1), Geosci. Model Dev., 12, 1725–1752, https://doi.org/10.5194/gmd-12-1725-2019, 2019. a
Huijnen, V., Miyazaki, K., Flemming, J., Inness, A., Sekiya, T., and Schultz, M. G.: An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2, Geosci. Model Dev., 13, 1513–1544, https://doi.org/10.5194/gmd-13-1513-2020, 2020. a
Igbp-Dis: A program for creating global soil-property databases, IGBP Global Soils Data Task, France, https://sage.nelson.wisc.edu/data-and-models/atlas-of-the-biosphere/mapping-the-biosphere/land-use/soil-ph/ (last access: 23 November 2023), 1998. a
INDAAF: International Network to study Deposition and Atmospheric chemistry in Africa, https://indaaf.obs-mip.fr (last access: 26 February 2025), 2021. a
Inness, A., Ades, M., Agustí-Panareda, A., Barré, J., Benedictow, A., Blechschmidt, A.-M., Dominguez, J. J., Engelen, R., Eskes, H., Flemming, J., Huijnen, V., Jones, L., Kipling, Z., Massart, S., Parrington, M., Peuch, V.-H., Razinger, M., Remy, S., Schulz, M., and Suttie, M.: The CAMS reanalysis of atmospheric composition, Atmos. Chem. Phys., 19, 3515–3556, https://doi.org/10.5194/acp-19-3515-2019, 2019. a, b, c
Jaeglé, L., Martin, R. V., Chance, K., Steinberger, L., Kurosu, T. P., Jacob, D. J., Modi, A., Yoboué, V., Sigha-Nkamdjou, L., and Galy-Lacaux, C.: Satellite mapping of rain-induced nitric oxide emissions from soils, J. Geophys. Res.-Atmos., 109, https://doi.org/10.1029/2004JD004787, 2004. a
Jaeglé, L., Steinberger, L., Martin, R. V., and Chance, K.: Global partitioning of NOx sources using satellite observations: Relative roles of fossil fuel combustion, biomass burning and soil emissions, Faraday Discuss., 130, 407–423, https://doi.org/10.1039/B502128F, 2005. a, b, c, d
Johansson, C., Rodhe, H., and Sanhueza, E.: Emission of NO in a tropical savanna and a cloud forest during the dry season, J. Geophys. Res.-Atmos., 93, 7180–7192, https://doi.org/10.1029/JD093iD06p07180, 1988. a, b
KhayatianYazdi, F., Kamali, G., Mirrokni, S. M., and Memarian, M. H.: Sensitivity evaluation of the different physical parameterizations schemes in regional climate model RegCM4. 5 for simulation of air temperature and precipitation over North and West of Iran, Dynam. Atmos. Oceans, 93, 101199, https://doi.org/10.1016/j.dynatmoce.2020.101199, 2021. a
Kleinman, L. I.: Low and high NOx tropospheric photochemistry, J. Geophys. Res.-Atmos., 99, 16831–16838, https://doi.org/10.1029/94JD01028, 1994. a
Koné, B., Diedhiou, A., Diawara, A., Anquetin, S., Touré, N. E., Bamba, A., and Kobea, A. T.: Influence of initial soil moisture in a regional climate model study over West Africa – Part 2: Impact on the climate extremes, Hydrol. Earth Syst. Sci., 26, 731–754, https://doi.org/10.5194/hess-26-731-2022, 2022. a
Lamsal, L. N., Krotkov, N. A., Vasilkov, A., Marchenko, S., Qin, W., Yang, E.-S., Fasnacht, Z., Joiner, J., Choi, S., Haffner, D., Swartz, W. H., Fisher, B., and Bucsela, E.: Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments, Atmos. Meas. Tech., 14, 455–479, https://doi.org/10.5194/amt-14-455-2021, 2021. a
Laouali, D., Galy-Lacaux, C., Gardrat, E., Dias Alves, M., Lenoir, O., Zakou, A., Ossohou, M., Adon, M., and Al-Ourabi, H.: Trace gases, Banizoumbou, Niger, Aeris [data set], https://doi.org/10.25326/608, 2023. a
Lathiere, J., Hauglustaine, D., Friend, A., De Noblet-Ducoudré, N., Viovy, N., and Folberth, G.: Impact of climate variability and land use changes on global biogenic volatile organic compound emissions, Atmos. Chem. Phys., 6, 2129–2146, https://doi.org/10.5194/acp-6-2129-2006, 2006. a, b
Lavaysse, C., Flamant, C., Janicot, S., Parker, D. J., Lafore, J.-P., Sultan, B., and Pelon, J.: Seasonal evolution of the West African heat low: a climatological perspective, Clim. Dynam., 33, 313–330, https://doi.org/10.1007/s00382-009-0553-4, 2009. a
Lavaysse, C., Flamant, C., and Janicot, S.: Regional-scale convection patterns during strong and weak phases of the Saharan heat low, Atmos. Sci. Lett., 11, 255–264, https://doi.org/10.1002/asl.284, 2010. a
Lavaysse, C., Chaboureau, J.-P., and Flamant, C.: Dust impact on the West African heat low in summertime, Q. J. Roy. Meteorol. Soc., 137, 1227–1240, https://doi.org/10.1002/qj.844, 2011. a
Lelieveld, J. and Dentener, F. J.: What controls tropospheric ozone?, J. Geophys. Res.-Atmos., 105, 3531–3551, https://doi.org/10.1029/1999JD901011, 2000. a
Li, J., Nagashima, T., Kong, L., Ge, B., Yamaji, K., Fu, J. S., Wang, X., Fan, Q., Itahashi, S., Lee, H.-J., Kim, C.-H., Lin, C.-Y., Zhang, M., Tao, Z., Kajino, M., Liao, H., Li, M., Woo, J.-H., Kurokawa, J., Wang, Z., Wu, Q., Akimoto, H., Carmichael, G. R., and Wang, Z.: Model evaluation and intercomparison of surface-level ozone and relevant species in East Asia in the context of MICS-Asia Phase III – Part 1: Overview, Atmos. Chem. Phys., 19, 12993–13015, https://doi.org/10.5194/acp-19-12993-2019, 2019. a, b
Li, R., Xu, M., Li, M., Chen, Z., Zhao, N., Gao, B., and Yao, Q.: Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis, Atmos. Chem. Phys., 21, 15631–15646, https://doi.org/10.5194/acp-21-15631-2021, 2021. a
Li, X., Yan, Y., Lu, X., Fu, L., and Liu, Y.: Responses of soil bacterial communities to precipitation change in the semi-arid alpine grassland of Northern Tibet, Front. Plant Sci., 13, 1036369, https://doi.org/10.3389/fpls.2022.1036369, 2022. a
Lin, H., Emmons, L. K., Lundgren, E. W., Yang, L. H., Feng, X., Dang, R., Zhai, S., Tang, Y., Kelp, M. M., Colombi, N. K., Eastham, S. D., Fritz, T. M., and Jacob, D. J.: Intercomparison of GEOS-Chem and CAM-chem tropospheric oxidant chemistry within the Community Earth System Model version 2 (CESM2), Atmos. Chem. Phys., 24, 8607–8624, https://doi.org/10.5194/acp-24-8607-2024, 2024. a, b
Lin, W., Xu, X., Yu, X., Zhang, X., and Huang, J.: Observed levels and trends of gaseous SO2 and HNO3 at Mt. Waliguan, China: Results from 1997 to 2009, J. Environ. Sci., 25, 726–734, https://doi.org/10.1016/S1001-0742(12)60143-0, 2013. a
Liu, W., Zhang, Z., and Wan, S.: Predominant role of water in regulating soil and microbial respiration and their responses to climate change in a semiarid grassland, Global Change Biol., 15, 184–195, https://doi.org/10.1111/j.1365-2486.2008.01728.x, 2009. a
Liu, X., Xu, W., Du, E., Tang, A., Zhang, Y., Zhang, Y., Wen, Z., Hao, T., Pan, Y., Zhang, L., Gu, B. J., Zhao, Y., Shen, J. L., Zhou, F., Gao, Z. L., Feng, Z. Z., Chang, Y. H., Goulding, K., Collett Jr, J. L., Vitousek, P. M., and Zhang, F. S.: Environmental impacts of nitrogen emissions in China and the role of policies in emission reduction, Philos. T. Roy. Soc. A, 378, 20190324, https://doi.org/10.1098/rsta.2019.0324, 2020. a
Lucas-Picher, P., Argüeso, D., Brisson, E., Tramblay, Y., Berg, P., Lemonsu, A., Kotlarski, S., and Caillaud, C.: Convection-permitting modeling with regional climate models: Latest developments and next steps, Wiley Interdisciplin. Rev.: Clim. Change, 12, e731, https://doi.org/10.1002/wcc.731, 2021. a
Ludwig, J., Meixner, F. X., Vogel, B., and Förstner, J.: Soil-air exchange of nitric oxide: An overview of processes, environmental factors, and modeling studies, Biogeochemistry, 52, 225–257, https://doi.org/10.1023/A:1006424330555, 2001. a
Marais, E. A., Jacob, D. J., Guenther, A., Chance, K., Kurosu, T. P., Murphy, J. G., Reeves, C. E., and Pye, H. O. T.: Improved model of isoprene emissions in Africa using Ozone Monitoring Instrument (OMI) satellite observations of formaldehyde: implications for oxidants and particulate matter, Atmos. Chem. Phys., 14, 7693–7703, https://doi.org/10.5194/acp-14-7693-2014, 2014. a
Mbienda, A. K., Guenang, G., Kaissassou, S., Tanessong, R., Choumbou, P., and Giorgi, F.: Enhancement of RegCM4.7-CLM precipitation and temperature by improved bias correction methods over Central Africa, Meteorol. Appl., 30, e2116, https://doi.org/10.1002/met.2116, 2023. a
McNally, A., Arsenault, K., Kumar, S., Shukla, S., Peterson, P., Wang, S., Funk, C., Peters-Lidard, C. D., and Verdin, J. P.: A land data assimilation system for sub-Saharan Africa food and water security applications, Sci. Data, 4, 1–19, https://doi.org/10.1038/sdata.2017.12, 2017. a
McNally, A.: FLDAS noah land surface model L4 global monthly 0.1×0.1 degree (MERRA-2 and CHIRPS), Atmos. Compos. Water Energy Cycles Clim. Var., https://doi.org/10.5067/5NHC22T9375G, 2018. a
McNeill, A. and Unkovich, M.: The nitrogen cycle in terrestrial ecosystems, in: Nutrient cycling in terrestrial ecosystems, Springer, 37–64, https://doi.org/10.1007/978-3-540-68027-7_2, 2007. a
Medinets, S., Skiba, U., Rennenberg, H., and Butterbach-Bahl, K.: A review of soil NO transformation: associated processes and possible physiological significance on organisms, Soil Biol. Biochem., 80, 92–117, https://doi.org/10.1016/j.soilbio.2014.09.025, 2015. a
Meixner, F. X. and Yang, W. X.: Biogenic emissions of nitric oxide and nitrous oxide from arid and semi-arid land, Dryland Ecohydrol., 233–255, https://doi.org/10.1007/1-4020-4260-4_14, 2006. a
Mosier, A. R.: Exchange of gaseous nitrogen compounds between agricultural systems and the atmosphere, Plant Soil, 228, 17–27, https://doi.org/10.1023/A:1004821205442, 2001. a
Mostafa, A. N., Zakey, A. S., Alfaro, S. C., Wheida, A. A., Monem, S. A., and Abdul Wahab, M. M.: Validation of RegCM-CHEM4 model by comparison with surface measurements in the Greater Cairo (Egypt) megacity, Environ. Sci. Pollut. Res., 26, 23524–23541, https://doi.org/10.1007/s11356-019-05370-0, 2019. a
Müller, J.-F.: Geographical distribution and seasonal variation of surface emissions and deposition velocities of atmospheric trace gases, J. Geophys. Res.-Atmos., 97, 3787–3804, https://doi.org/10.1029/91JD02757, 1992. a
Nenes, A., Pandis, S. N., and Pilinis, C.: ISORROPIA: A new thermodynamic equilibrium model for multiphase multicomponent inorganic aerosols, Aquat. Geochem., 4, 123–152, https://doi.org/10.1023/A:1009604003981, 1998. a
Nikulin, G., Kjellström, E., Hansson, U., Strandberg, G., and Ullerstig, A.: Evaluation and future projections of temperature, precipitation and wind extremes over Europe in an ensemble of regional climate simulations, Tellus A, 63, 41–55, https://doi.org/10.1111/j.1600-0870.2010.00466.x, 2011. a
Nikulin, G., Jones, C., Giorgi, F., Asrar, G., Büchner, M., Cerezo-Mota, R., Christensen, O. B., Déqué, M., Fernandez, J., Hänsler, A., van Meijgaard, E., Samuelsson, P., Sylla, M. B., and Sushama, L.: Precipitation climatology in an ensemble of CORDEX-Africa regional climate simulations, J. Climate, 25, 6057–6078, https://doi.org/10.1175/JCLI-D-11-00375.1, 2012. a
Nogherotto, R., Tompkins, A. M., Giuliani, G., Coppola, E., and Giorgi, F.: Numerical framework and performance of the new multiple-phase cloud microphysics scheme in RegCM4.5: precipitation, cloud microphysics, and cloud radiative effects, Geosci. Model Dev., 9, 2533–2547, https://doi.org/10.5194/gmd-9-2533-2016, 2016. a, b
Oleson, K. W., Lawrence, D. M., Bonan, G. B., Fisher, R. A., and Lawrence, P. J.: Technical description of version 4.5 of the Community Land Model (CLM), Tech. rep., Technical description of version 4.5 of the Community Land Model (CLM) (2013) NCAR/TN-503+STR, https://doi.org/10.5065/D6RR1W7M, 2013. a
Opacka, B., Stavrakou, T., Müller, J. F., Smedt, I. D., van Geffen, J., Marais, E. A., Horner, R. P., Millet, D. B., Wells, K. C., and Guenther, A. B.: Natural emissions of VOC and NOx over Africa constrained by TROPOMI HCHO and NO2 data using the MAGRITTEv1.1 model, Atmos. Chem. Phys., 25, 2863–2894, https://doi.org/10.5194/acp-25-2863-2025, 2025. a
Oppenheimer, C., Tsanev, V. I., Allen, A. G., McGonigle, A. J., Cardoso, A. A., Wiatr, A., Paterlini, W., and de Mello Dias, C.: NO2 emissions from agricultural burning in Sao Paulo, Brazil, Environ. Sci. Technol., 38, 4557–4561, https://doi.org/10.1021/es0496219, 2004. a
Ormeci, B., Sanin, S. L., and Peirce, J. J.: Laboratory study of NO flux from agricultural soil: Effects of soil moisture, pH, and temperature, J. Geophys. Res.-Atmos., 104, 1621–1629, https://doi.org/10.1029/98JD02834, 1999. a
Ossohou, M., Galy-Lacaux, C., Yoboué, V., Hickman, J., Gardrat, E., Adon, M., Darras, S., Laouali, D., Akpo, A., Ouafo, M., Diop, B., and Opepa, C.: Trends and seasonal variability of atmospheric NO2 and HNO3 concentrations across three major African biomes inferred from long-term series of ground-based and satellite measurements, Atmos. Environ., 207, 148–166, https://doi.org/10.1016/j.atmosenv.2019.03.027, 2019. a, b, c
Ossohou, M., Galy-Lacaux, C., Yoboué, V., Adon, M., Delon, C., Gardrat, E., Konaté, I., Ki, A., and Zouzou, R.: Long-term atmospheric inorganic nitrogen deposition in West African savanna over 16 year period (Lamto, Côte d'Ivoire), Environ. Res. Lett., 16, 015004, https://doi.org/10.1088/1748-9326/abd065, 2021. a
Ossohou, M., Hickman, J. E., Clarisse, L., Coheur, P.-F., Van Damme, M., Adon, M., Yoboué, V., Gardrat, E., Alvès, M. D., and Galy-Lacaux, C.: Trends and seasonal variability in ammonia across major biomes in western and central Africa inferred from long-term series of ground-based and satellite measurements, Atmos. Chem. Phys., 23, 9473–9494, https://doi.org/10.5194/acp-23-9473-2023, 2023. a, b
Ouafo-Leumbe, M.-R., Galy-Lacaux, C., Sigha-Nkamdjou, L., Gardrat, E., Dias Alves, M., Lenoir, O., Meka, M., and Amougou, M.: Trace gases, Zoétélé, Cameroon, Aeris [data set], https://doi.org/10.25326/603, 2023. a
Pacifico, F., Delon, C., Jambert, C., Durand, P., Morris, E., Evans, M. J., Lohou, F., Derrien, S., Donnou, V. H. E., Houeto, A. V., Reinares Martínez, I., and Brilouet, P.-E.: Measurements of nitric oxide and ammonia soil fluxes from a wet savanna ecosystem site in West Africa during the DACCIWA field campaign, Atmos. Chem. Phys., 19, 2299–2325, https://doi.org/10.5194/acp-19-2299-2019, 2019. a, b
Padro, J., Den Hartog, G., and Neumann, H.: An investigation of the ADOM dry deposition module using summertime O3 measurements above a deciduous forest, Atmos. Environ. A, 25, 1689–1704, https://doi.org/10.1016/0960-1686(91)90027-5, 1991. a
Pal, J. S. and Coauthors: The ICTP RegCM3 and RegCNET: Regional climate modeling for the developing World, B. Am. Meteorol. Soc., 88, 1395–1409, 2007. a
Peyrillé, P., Lafore, J.-P., and Redelsperger, J.-L.: An idealized two-dimensional framework to study the West African monsoon. Part I: Validation and key controlling factors, J. Atmos. Sci., 64, 2765–2782, https://doi.org/10.1175/JAS3919.1, 2007. a
Philippon, N., Cornu, G., Monteil, L., Gond, V., Moron, V., Pergaud, J., Sèze, G., Bigot, S., Camberlin, P., Doumenge, C., Fayolle, A., and Ngomanda, A.: The light-deficient climates of western Central African evergreen forests, Environ. Res. Lett., 14, 034007, https://doi.org/10.1088/1748-9326/aaf5d8, 2019. a
Pichelli, E., Coppola, E., Sobolowski, S., Ban, N., Giorgi, F., Stocchi, P., Alias, A., Belušić, D., Berthou, S., Caillaud, C., Cardoso, R. M., Chan, S., Christensen, O. B., Dobler, A., de Vries, H., Goergen, K., Kendon, E. J., Keuler, K., Lenderink, G., Lorenz, T., Mishra, A. N., Panitz, H.-J., Schär, C., Soares, P. M. M., Truhetz, H., and Vergara-Temprado, J.: The first multi-model ensemble of regional climate simulations at kilometer-scale resolution part 2: historical and future simulations of precipitation, Clim. Dynam., 56, 3581–3602, https://doi.org/10.1007/s00382-021-05657-4, 2021. a
Pilegaard, K.: Processes regulating nitric oxide emissions from soils, Philos. T. Roy. Soc. B, 368, 20130126, https://doi.org/10.1098/rstb.2013.0126, 2013. a
Potter, P., Ramankutty, N., Bennett, E. M., and Donner, S. D.: Characterizing the spatial patterns of global fertilizer application and manure production, Earth Interact., 14, 1–22, https://doi.org/10.1175/2009EI288.1, 2010. a, b
Prein, A. F., Langhans, W., Fosser, G., Ferrone, A., Ban, N., Goergen, K., Keller, M., Tölle, M., Gutjahr, O., Feser, F., Brisson, E., Kollet, S., Schmidli, J., Van Lipzig, N. P. M., and Leung, R.: A review on regional convection-permitting climate modeling: Demonstrations, prospects, and challenges, Rev. Geophys., 53, 323–361, https://doi.org/10.1002/2014RG000475, 2015. a
QA/SAC – Americas: Quality Assurance/Science Activity Centre – Americas (QA/SAC-Americas), https://qasac-americas.org (last access: 26 February 2025), 2025. a
Randerson, J., Van Der Werf, G., Giglio, L., Collatz, G., and Kasibhatla, P.: Global Fire Emissions Database, Version 4.1 (GFEDv4), ORNL DAAC, Oak Ridge, Tennessee, USA, https://doi.org/10.3334/ORNLDAAC/1293, 2018. a
Rao, P., Wang, Y., Wang, F., Liu, Y., Wang, X., and Wang, Z.: Daily soil moisture mapping at 1 km resolution based on SMAP data for desertification areas in northern China, Earth Syst. Sci. Data, 14, 3053–3073, https://doi.org/10.5194/essd-14-3053-2022, 2022. a
Roelle, P. A., Aneja, V. P., Gay, B., Geron, C., and Pierce, T.: Biogenic nitric oxide emissions from cropland soils, Atmos. Environ., 35, 115–124, https://doi.org/10.1016/S1352-2310(00)00279-X, 2001. a
Sanhueza, E., Hao, W. M., Scharffe, D., Donoso, L., and Crutzen, P. J.: N2O and NO emissions from soils of the northern part of the Guayana Shield, Venezuela, J. Geophys. Res.-Atmos., 95, 22481–22488, https://doi.org/10.1029/JD095iD13p22481, 1990. a
Sauvage, B., Thouret, V., Cammas, J.-P., Gheusi, F., Athier, G., and Nédélec, P.: Tropospheric ozone over Equatorial Africa: regional aspects from the MOZAIC data, Atmos. Chem. Phys., 5, 311–335, https://doi.org/10.5194/acp-5-311-2005, 2005. a
Sauvage, B., Martin, R. V., Van Donkelaar, A., and Ziemke, J.: Quantification of the factors controlling tropical tropospheric ozone and the South Atlantic maximum, J. Geophys. Res.-Atmos., 112, https://doi.org/10.1029/2006JD008008, 2007. a, b
Schreiber, F., Wunderlin, P., Udert, K. M., and Wells, G. F.: Nitric oxide and nitrous oxide turnover in natural and engineered microbial communities: biological pathways, chemical reactions, and novel technologies, Front. Microbiol., 3, 372, https://doi.org/10.3389/fmicb.2012.00372, 2012. a
Serca, D., Delmas, R., Jambert, C., and Labroue, L.: Emissions of nitrogen oxides from equatorial rain forest in central Africa, Tellus B, 46, 243–254, https://doi.org/10.3402/tellusb.v46i4.15795, 1994. a, b
Shalaby, A., Zakey, A., Tawfik, A., Solmon, F., Giorgi, F., Stordal, F., Sillman, S., Zaveri, R. A., and Steiner, A.: Implementation and evaluation of online gas-phase chemistry within a regional climate model (RegCM-CHEM4), Geosci. Model Dev., 5, 741–760, https://doi.org/10.5194/gmd-5-741-2012, 2012. a, b, c, d, e, f, g
Sillman, S. and He, D.: Some theoretical results concerning O3-NOx-VOC chemistry and NOx-VOC indicators, J. Geophys. Res. Atmos., 107, ACH-26, https://doi.org/10.1029/2001JD001123, 2002. a
Simpson, D. and Darras, S.: Global soil NO emissions for Atmospheric Chemical Transport Modelling: CAMS-GLOB-SOIL v2.2, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-221, 2021. a
Skopp, J., Jawson, M., and Doran, J.: Steady-state aerobic microbial activity as a function of soil water content, Soil Sci. Soc. Am. J., 54, 1619–1625, https://doi.org/10.2136/sssaj1990.03615995005400060018x, 1990. a, b
Solmon, F., Giorgi, F., and Liousse, C.: Aerosol modelling for regional climate studies: application to anthropogenic particles and evaluation over a European/African domain, Tellus B, 58, 51–72, https://doi.org/10.1111/j.1600-0889.2005.00155.x, 2006. a
Solmon, F., Elguindi, N., Mallet, M., Flamant, C., and Formenti, P.: West African monsoon precipitation impacted by the South Eastern Atlantic biomass burning aerosol outflow, npj Clim. Atmos. Sci., 4, 54, https://doi.org/10.1038/s41612-021-00210-w, 2021. a
Soulie, A., Granier, C., Darras, S., Zilbermann, N., Doumbia, T., Guevara, M., Jalkanen, J.-P., Keita, S., Liousse, C., Crippa, M., Guizzardi, D., Hoesly, R., and Smith, S. J.: Global anthropogenic emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service simulations of air quality forecasts and reanalyses, Earth Syst. Sci. Data, 16, 2261–2279, https://doi.org/10.5194/essd-16-2261-2024, 2024. a
Stehfest, E. and Bouwman, L.: N 2 O and NO emission from agricultural fields and soils under natural vegetation: summarizing available measurement data and modeling of global annual emissions, Nutr. Cycl. Agroecosyst., 74, 207–228, https://doi.org/10.1007/s10705-006-9000-7, 2006. a
Steinkamp, J. and Lawrence, M. G.: Improvement and evaluation of simulated global biogenic soil NO emissions in an AC-GCM, Atmos. Chem. Phys., 11, 6063–6082, https://doi.org/10.5194/acp-11-6063-2011, 2011. a
Steinkamp, J., Ganzeveld, L., Wilcke, W., and Lawrence, M.: Influence of modelled soil biogenic NO emissions on related trace gases and the atmospheric oxidizing efficiency, Atmos. Chem. Phys., 9, 2663–2677, https://doi.org/10.5194/acp-9-2663-2009, 2009. a, b, c
Stewart, D., Taylor, C., Reeves, C., and McQuaid, J.: Biogenic nitrogen oxide emissions from soils: impact on NOx and ozone over west Africa during AMMA (African Monsoon Multidisciplinary Analysis): observational study, Atmos. Chem. Phys., 8, 2285–2297, https://doi.org/10.5194/acp-8-2285-2008, 2008. a, b, c
Stohl, A., Williams, E., Wotawa, G., and Kromp-Kolb, H.: A European inventory of soil nitric oxide emissions and the effect of these emissions on the photochemical formation of ozone, Atmosp. Environ., 30, 3741–3755, https://doi.org/10.1016/1352-2310(96)00104-5, 1996. a
Strada, S., Pozzer, A., Giuliani, G., Coppola, E., Solmon, F., Jiang, X., Guenther, A., Bourtsoukidis, E., Serça, D., Williams, J., and Giorgi, F.: Assessment of isoprene and near-surface ozone sensitivities to water stress over the Euro-Mediterranean region, Atmos. Chem. Phys., 23, 13301–13327, https://doi.org/10.5194/acp-23-13301-2023, 2023. a
Sultan, B., Janicot, S., and Diedhiou, A.: The West African monsoon dynamics. Part I: Documentation of intraseasonal variability, J. Climate, 16, 3389–3406, https://doi.org/10.1175/1520-0442(2003)016<3389:TWAMDP>2.0.CO;2, 2003. a
Sun, S., Tai, A. P., Yung, D. H., Wong, A. Y., Ducker, J. A., and Holmes, C. D.: Influence of plant ecophysiology on ozone dry deposition: comparing between multiplicative and photosynthesis-based dry deposition schemes and their responses to rising CO2 level, Biogeosciences, 19, 1753–1776, https://doi.org/10.5194/bg-19-1753-2022, 2022. a
Sylla, M., Giorgi, F., and Stordal, F.: Large-scale origins of rainfall and temperature bias in high-resolution simulations over southern Africa, Clim. Res., 52, 193–211, https://doi.org/10.3354/cr01044, 2012. a, b, c
Sylla, M., Diallo, I., and Pal, J.: West African monsoon in state-of the-art regional climate models, INTECH, https://doi.org/10.5772/55140, 2013. a
Tadic, I., Nussbaumer, C. M., Bohn, B., Harder, H., Marno, D., Martinez, M., Obersteiner, F., Parchatka, U., Pozzer, A., Rohloff, R., Zöger, M., Lelieveld, J., and Fischer, H.: Central role of nitric oxide in ozone production in the upper tropical troposphere over the Atlantic Ocean and western Africa, Atmos. Chem. Phys., 21, 8195–8211, https://doi.org/10.5194/acp-21-8195-2021, 2021. a
Tadross, M., Gutowski, W., Hewitson, B., Jack, C., and New, M.: MM5 simulations of interannual change and the diurnal cycle of southern African regional climate, Theor. Appl. Climatol., 86, 63–80, https://doi.org/10.1007/s00704-005-0208-2, 2006. a
Tiedtke, M.: A comprehensive mass flux scheme for cumulus parameterization in large-scale models, Mon. Weather Rev., 117, 1779–1800, https://doi.org/10.1175/1520-0493(1989)117<1779:ACMFSF>2.0.CO;2, 1989. a, b
Tsivlidou, M., Sauvage, B., Bennouna, Y., Blot, R., Boulanger, D., Clark, H., Le Flochmoën, E., Nédélec, P., Thouret, V., Wolff, P., and Barret, B.: Tropical tropospheric ozone and carbon monoxide distributions: characteristics, origins, and control factors, as seen by IAGOS and IASI, Atmos. Chem. Phys., 23, 14039–14063, https://doi.org/10.5194/acp-23-14039-2023, 2023. a
Valari, M. and Menut, L.: Does an increase in air quality models' resolution bring surface ozone concentrations closer to reality?, J. Atmos. Ocean. Tech., 25, 1955–1968, https://doi.org/10.1175/2008JTECHA1123.1, 2008. a
Van Der A, R., Eskes, H., Boersma, K., Van Noije, T., Van Roozendael, M., De Smedt, I., Peters, D., and Meijer, E.: Trends, seasonal variability and dominant NOx source derived from a ten year record of NO2 measured from space, J. Geophys. Res.-Atmos., 113, https://doi.org/10.1029/2007JD009021, 2008. a
van Marle, M. J. E., Kloster, S., Magi, B. I., Marlon, J. R., Daniau, A.-L., Field, R. D., Arneth, A., Forrest, M., Hantson, S., Kehrwald, N. M., Knorr, W., Lasslop, G., Li, F., Mangeon, S., Yue, C., Kaiser, J. W., and van der Werf, G. R.: Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015), Geosci. Model Dev., 10, 3329–3357, https://doi.org/10.5194/gmd-10-3329-2017, 2017. a
van Wees, D. and van der Werf, G. R.: Modelling biomass burning emissions and the effect of spatial resolution: a case study for Africa based on the Global Fire Emissions Database (GFED), Geosci. Model Dev., 12, 4681–4703, https://doi.org/10.5194/gmd-12-4681-2019, 2019. a
Vinken, G., Boersma, K., Maasakkers, J., Adon, M., and Martin, R.: Worldwide biogenic soil NOx emissions inferred from OMI NO2 observations, Atmos. Chem. Phys., 14, 10363–10381, https://doi.org/10.5194/acp-14-10363-2014, 2014. a, b, c
Vitousek, P. M., Aber, J. D., Howarth, R. W., Likens, G. E., Matson, P. A., Schindler, D. W., Schlesinger, W. H., and Tilman, D. G.: Human alteration of the global nitrogen cycle: sources and consequences, Ecol. Appl., 7, 737–750, https://doi.org/10.1890/1051-0761(1997)007[0737:HAOTGN]2.0.CO;2, 1997. a
Wagner, A., Bennouna, Y., Blechschmidt, A.-M., Brasseur, G., Chabrillat, S., Christophe, Y., Errera, Q., Eskes, H., Flemming, J., Hansen, K., Inness, A., Kapsomenakis, J., Langerock, B., Richter, A., Sudarchikova, N., Thouret, V., and Zerefos, C.: Comprehensive evaluation of the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis against independent observations: Reactive gases, Elem. Sci. Anth., 9, 00171, https://doi.org/10.1525/elementa.2020.00171, 2021. a, b, c
Wang, W., Sheng, L., Jin, H., and Han, Y.: Dust aerosol effects on cirrus and altocumulus clouds in Northwest China, J. Meteorol. Res., 29, 793–805, https://doi.org/10.1007/s13351-015-4116-9, 2015. a
Wang, Y., Ma, Y.-F., Muñoz-Esparza, D., Dai, J., Li, C. W. Y., Lichtig, P., Tsang, R. C.-W., Liu, C.-H., Wang, T., and Brasseur, G. P.: Coupled mesoscale–microscale modeling of air quality in a polluted city using WRF-LES-Chem, Atmos. Chem. Phys., 23, 5905–5927, https://doi.org/10.5194/acp-23-5905-2023, 2023. a
Williams, E., Guenther, A., and Fehsenfeldi, F.: An inventory of nitric oxide emissions from soils in the United States, J. Geophys. Res.-Atmos., 97, 7511–7519, https://doi.org/10.1029/92JD00412, 1992. a
Williams, J., Scheele, M., van Velthoven, P., Cammas, J.-P., Thouret, V., Galy-Lacaux, C., and Volz-Thomas, A.: The influence of biogenic emissions from Africa on tropical tropospheric ozone during 2006: a global modeling study, Atmos. Chem. Phys., 9, 5729–5749, https://doi.org/10.5194/acp-9-5729-2009, 2009. a, b, c
Wu, Z., Wang, X., Chen, F., Turnipseed, A. A., Guenther, A. B., Niyogi, D., Charusombat, U., Xia, B., Munger, J. W., and Alapaty, K.: Evaluating the calculated dry deposition velocities of reactive nitrogen oxides and ozone from two community models over a temperate deciduous forest, Atmosp. Environ., 45, 2663–2674, https://doi.org/10.1016/j.atmosenv.2011.02.063, 2011. a
Yan, X., Ohara, T., and Akimoto, H.: Statistical modeling of global soil NOx emissions, Global Biogeochem. Cy., 19, https://doi.org/10.1029/2004GB002276, 2005. a, b, c
Yarwood, G. and Tuite, K.: Representing Ozone Formation from Volatile Chemical Products (VCP) in Carbon Bond (CB) Chemical Mechanisms, Atmosphere, 15, 178, https://doi.org/10.3390/atmos15020178, 2024. a
Yarwood, G., Jung, J., Whitten, G. Z., Heo, G., Mellberg, J., and Estes, M.: Updates to the Carbon Bond Mechanism for Version 6 (CB6), in: 9th Annual CMAS Conference, Chapel Hill, NC, 11–13 October 2010, 1–4, 2010. a
Yienger, J. and Levy, H.: Empirical model of global soil-biogenic NOχ emissions, J. Geophys. Res.-Atmos., 100, 11447–11464, https://doi.org/10.1029/95JD00370, 1995. a, b, c, d
Young, P. J., Naik, V., Fiore, A. M., Gaudel, A., Guo, J., Lin, M., Neu, J., Parrish, D., Rieder, H., Schnell, J. L., Tilmes, S., Wild, O., Zhang, L., Ziemke, J., Brandt, J., Delcloo, A., Doherty, R. M., Geels, C., Hegglin, M. I., Hu, L., Im, U., Kumar, R., Luhar, A., Murray, L., Plummer, D., Rodriguez, J., Saiz-Lopez, A., Schultz, M. G., Woodhouse, M. T., and Zeng, G.: Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends, Elem. Sci. Anth., 6, 10, https://doi.org/10.1525/elementa.265, 2018. a
Zaveri, R. A. and Peters, L. K.: A new lumped structure photochemical mechanism for large-scale applications, J. Geophys. Res.-Atmos., 104, 30387–30415, https://doi.org/10.1029/1999JD900876, 1999. a, b, c
Zhang, L., Moran, M. D., Makar, P. A., Brook, J. R., and Gong, S.: Modelling gaseous dry deposition in AURAMS: a unified regional air-quality modelling system, Atmos. Environ., 36, 537–560, https://doi.org/10.1016/S1352-2310(01)00447-2, 2002. a, b
Zhang, L., Brook, J. R., and Vet, R.: A revised parameterization for gaseous dry deposition in air-quality models, Atmos. Chem. Phys., 3, 2067–2082, https://doi.org/10.5194/acp-3-2067-2003, 2003. a, b, c
Zittis, G., Hadjinicolaou, P., Fnais, M., and Lelieveld, J.: Projected changes in heat wave characteristics in the eastern Mediterranean and the Middle East, Reg. Environ. Change, 16, 1863–1876, https://doi.org/10.1007/s10113-014-0753-2, 2016. a, b
Short summary
As climate change and human activities intensify in Africa, understanding how air pollution, climate, and natural cycles interact is crucial. This study explores how nitrogen oxide emissions from African soils, especially in dry regions, contribute to atmospheric pollution. By using a climate-chemistry model, we show that considering these emissions improves predictions of nitrogen dioxide, nitric acid and ozone, although some discrepancies remain compared to observations.
As climate change and human activities intensify in Africa, understanding how air pollution,...
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