Articles | Volume 26, issue 14
https://doi.org/10.5194/acp-26-10679-2026
© Author(s) 2026. 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-26-10679-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Jul 2026
Research article |
| 30 Jul 2026
| 30 Jul 2026
Estimation of nocturnal boundary layer height in the central Amazon, supported by gas concentration profiles
Carla M. A. Souza
CORRESPONDING AUTHOR
Max Planck Institute for Biogeochemistry, Jena, Thuringia, Germany
National Institute of Amazonian Research (INPA), Graduate Program in Climate and Environment (CLIAMB), Manaus, Amazonas, Brazil
Anne C. S. Mendonça
National Institute of Amazonian Research (INPA), Graduate Program in Climate and Environment (CLIAMB), Manaus, Amazonas, Brazil
Hella van Asperen
Max Planck Institute for Biogeochemistry, Jena, Thuringia, Germany
Flávio A. F. D'Oliveira
Federal University of the State of Pará, Graduate Program in Environmental Sciences (PPGCA), Belém, Pará, Brazil
Santiago Botía
Max Planck Institute for Biogeochemistry, Jena, Thuringia, Germany
Luís G. N. Martins
Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil
Denisi H. Hall
National Institute of Amazonian Research (INPA), Large-Scale Biosphere-Atmosphere Program in the Amazon (LBA), Manaus, Amazonas, Brazil
Raoni A. Santana
Federal University of Western Pará (UFOPA), Santarém, Pará, Brazil
Gilberto Fisch
University of Taubaté, Taubaté, São Paulo, Brazil
Leonardo R. Oliveira
National Institute of Amazonian Research (INPA), Large-Scale Biosphere-Atmosphere Program in the Amazon (LBA), Manaus, Amazonas, Brazil
Jailson R. Mata
National Institute of Amazonian Research (INPA), Large-Scale Biosphere-Atmosphere Program in the Amazon (LBA), Manaus, Amazonas, Brazil
Ranyelli Figueiredo
National Institute of Amazonian Research (INPA), Graduate Program in Climate and Environment (CLIAMB), Manaus, Amazonas, Brazil
National Institute of Amazonian Research (INPA), Large-Scale Biosphere-Atmosphere Program in the Amazon (LBA), Manaus, Amazonas, Brazil
Rachel Albrecht
University of São Paulo, São Paulo, Brazil
Bruno T. T. Portela
National Institute of Amazonian Research (INPA), Large-Scale Biosphere-Atmosphere Program in the Amazon (LBA), Manaus, Amazonas, Brazil
Carlos A. Quesada
National Institute of Amazonian Research (INPA), Large-Scale Biosphere-Atmosphere Program in the Amazon (LBA), Manaus, Amazonas, Brazil
Cléo Q. Dias-Júnior
CORRESPONDING AUTHOR
National Institute of Amazonian Research (INPA), Graduate Program in Climate and Environment (CLIAMB), Manaus, Amazonas, Brazil
National Institute of Amazonian Research (INPA), Large-Scale Biosphere-Atmosphere Program in the Amazon (LBA), Manaus, Amazonas, Brazil
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Atmos. Chem. Phys., 26, 9181–9205, https://doi.org/10.5194/acp-26-9181-2026, https://doi.org/10.5194/acp-26-9181-2026, 2026
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The environment inside a forest canopy is often not represented in large atmospheric models. This study uses a detailed canopy model to understand trace gas emissions and chemistry within the Amazon rainforest. We show escape of trace gases from the canopy to the atmosphere can depend on turbulence and vary over the day, which is currently not included in atmospheric models. We show that the atmospheric composition above the Amazon and within the canopy is strongly affected by forest fires.
Bárbara Antonucci, Raoni A. Santana, Nara L. R. Andrade, Eliane Gomes Alves, Santiago Botía, Carla M.A. Souza, Anne C. S. Mendonça, Shujiro Komiya, Denisi H. Hall, Natalia Restrepo-Coupe, Gabriel B. Costa, and Cléo Q. Dias-Júnior
EGUsphere, https://doi.org/10.5194/egusphere-2026-3167, https://doi.org/10.5194/egusphere-2026-3167, 2026
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The Amazon rainforest helps regulate the global climate by absorbing carbon from the atmosphere. We developed a simple method to improve long-term estimates of forest carbon exchange using measurements available at many monitoring sites. Applying this approach to a 13-year record from the southwestern Amazon showed that the forest absorbed carbon during wetter years but became a weaker carbon sink, or even a carbon source, during droughts and El Niño events.
Mariano A. B. da Rocha, Cléo Q. Dias-Júnior, Anne C. S. Mendonça, Julia C. P. Cohen, Flávio A. F. D'Oliveira, Christopher Pöhlker, Subha Raj, Alessandro C. de Araujo, Marco A. Franco, Paulo Artaxo, Carlos A. Quesada, and Rafael S. Palácios
Atmos. Chem. Phys., 26, 8051–8066, https://doi.org/10.5194/acp-26-8051-2026, https://doi.org/10.5194/acp-26-8051-2026, 2026
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Joao Henrique Fernandes Amaral, Santiago Botía, Paula Torres Quintero, Anghy Sthephany Gutierrez Rincon, David Ho, Adriana Sanchez, Alvaro Avila-Diaz, Antje Uhde, Benjamin Quesada, Juan C. Benavides, R. Scott Winton, Carlos A. Sierra, Miguel A. Navarro-Ramírez, Diego David Pardo Buitrago, and Stijn Hantson
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Débora Pinheiro-Oliveira, Hella van Asperen, Murielli Garcia Caetano, Michelle Robin, Achim Edtbauer, Nora Zannoni, Joseph Byron, Jonathan Williams, Layon Oreste Demarchi, Maria Teresa Fernandez Piedade, Jochen Schöngart, Florian Wittmann, Sergio Duvoisin-Junior, Carla Batista, Rodrigo Augusto Ferreira de Souza, and Eliane Gomes Alves
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Bruno B. Meller, Marco A. Franco, Rafael Valiati, Christopher Pöhlker, Luiz A. T. Machado, Florian Ditas, Leslie A. Kremper, Subha S. Raj, Cleo Q. Dias-Júnior, Flávio A. F. D'Oliveira, Luciana V. Rizzo, Ulrich Pöschl, and Paulo Artaxo
Atmos. Chem. Phys., 26, 4885–4899, https://doi.org/10.5194/acp-26-4885-2026, https://doi.org/10.5194/acp-26-4885-2026, 2026
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Aerosols are tiny particles that help clouds form and influence the climate. In the Amazon, clear events of new aerosol particle formation are rare, making it difficult to explain their origin. Using ten years of measurements, we discovered a subtle but frequent process called Quiet New Particle Formation. This hidden mechanism slowly produces and grows small particles and is responsible for nearly half of the smallest aerosols observed during the wet season.
Noelia R. Benavente, Santiago Botía, Luciana V. Rizzo, Angel Vara-Vela, Paulo Artaxo, Hella van Asperen, Felipe Santos da Silva, Flavio A. F. D'Oliveira, Horst Fischer, Michał Gałkowski, Theo Glauch, Alice Henkes, David Ho, Cléo Q. Dias-Júnior, Amauri C. P. Junior, Julia Marshall, Linda Ort, Ben-Hur M. Portella, and Luiz A. T. Machado
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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Amauri C. Prudente Jr., Luiz A. T. Machado, Felipe S. Silva, Tercio Ambrizzi, Paulo Artaxo, Santiago Botia, Luan P. Cordeiro, Cleo Q. Dias Jr., Edmilson Freitas, Demerval S. Moreira, Christopher Pöhlker, Ivan M. C. Toro, Xiyan Xu, and Luciana V. Rizzo
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Dieu Anh Tran, Jordi Vilà-Guerau de Arellano, Ingrid T. Luijkx, Christoph Gerbig, Michał Gałkowski, Santiago Botía, Kim Faassen, and Sönke Zaehle
Atmos. Chem. Phys., 25, 16553–16588, https://doi.org/10.5194/acp-25-16553-2025, https://doi.org/10.5194/acp-25-16553-2025, 2025
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Analysis of CH4 data (2010–2021) from ZOtino Tall Tower Observatory in Central Siberia shows an increase in the late summer diurnal amplitude, driven by nighttime emissions. These trends correlate with rising soil temperature and moisture during the late summer and snow depth of the preceding spring. Peaks in 2012 and 2019 emission link to wildfires activity. Findings suggest wetlands as key CH4 sources and underscore the need for ongoing high-resolution monitoring in this region.
Carlos A. Sierra, Ingrid Chanca, Meinrat O. Andreae, Alessandro Carioca de Araújo, Hella van Asperen, Lars Borchardt, Santiago Botía, Luiz Antonio Candido, Caio S. C. Correa, Cléo Quaresma Dias-Junior, Markus Eritt, Annica Fröhlich, Luciana V. Gatti, Marcus Guderle, Samuel Hammer, Martin Heimann, Viviana Horna, Armin Jordan, Steffen Knabe, Richard Kneißl, Jost Valentin Lavric, Ingeborg Levin, Kita Macario, Juliana Menger, Heiko Moossen, Carlos Alberto Quesada, Michael Rothe, Christian Rödenbeck, Yago Santos, Axel Steinhof, Bruno Takeshi, Susan Trumbore, and Sönke Zaehle
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We present here a unique dataset of atmospheric observations of greenhouse gases and isotopes that provide key information on land-atmosphere interactions for the Amazon forests of central Brazil. The data show a relatively large level of variability, but also important trends in greenhouse gases, and signals from fires as well as seasonal biological activity.
Camila da Cunha Lopes, Rachel Ifanger Albrecht, Douglas Messias Uba, Thiago Souza Biscaro, and Ivan Saraiva
Earth Syst. Sci. Data, 17, 5489–5505, https://doi.org/10.5194/essd-17-5489-2025, https://doi.org/10.5194/essd-17-5489-2025, 2025
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This study utilized observations collected during the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) experiment to create a database of storm and thunderstorm characteristics with weather radar and lightning measurements. These storms have different sizes and durations between the wet and dry seasons as well as throughout the day, with the most intense events occurring during the dry-season–wet-season transition. This database will be useful for future studies on Amazonian clouds.
Theo Glauch, Julia Marshall, Christoph Gerbig, Santiago Botía, Michał Gałkowski, Sanam N. Vardag, and André Butz
Geosci. Model Dev., 18, 4713–4742, https://doi.org/10.5194/gmd-18-4713-2025, https://doi.org/10.5194/gmd-18-4713-2025, 2025
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The Vegetation Photosynthesis and Respiration Model (VPRM) estimates carbon exchange between the atmosphere and biosphere by modeling gross primary production and respiration using satellite data and weather variables. Our new version, pyVPRM, supports diverse satellite products like Sentinel-2, MODIS, VIIRS, and new land cover maps, enabling high spatial and temporal resolution. This improves flux estimates, especially in complex landscapes, and ensures continuity as MODIS nears decommissioning.
Santiago Botía, Saqr Munassar, Thomas Koch, Danilo Custodio, Luana S. Basso, Shujiro Komiya, Jost V. Lavric, David Walter, Manuel Gloor, Giordane Martins, Stijn Naus, Gerbrand Koren, Ingrid T. Luijkx, Stijn Hantson, John B. Miller, Wouter Peters, Christian Rödenbeck, and Christoph Gerbig
Atmos. Chem. Phys., 25, 6219–6255, https://doi.org/10.5194/acp-25-6219-2025, https://doi.org/10.5194/acp-25-6219-2025, 2025
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This study uses dry CO2 mole fractions from the Amazon Tall Tower Observatory together with airborne profiles to estimate net carbon exchange in tropical South America. We found that the biogeographic Amazon is a net carbon sink, while the Cerrado and Caatinga biomes are net carbon sources, resulting in an overall neutral balance. Finally, to further reduce the uncertainty in our estimates we call for an expansion of the monitoring capacity, especially in the Amazon–Andes foothills.
Ingrid Chanca, Ingeborg Levin, Susan Trumbore, Kita Macario, Jost Lavric, Carlos Alberto Quesada, Alessandro Carioca de Araújo, Cléo Quaresma Dias Júnior, Hella van Asperen, Samuel Hammer, and Carlos A. Sierra
Biogeosciences, 22, 455–472, https://doi.org/10.5194/bg-22-455-2025, https://doi.org/10.5194/bg-22-455-2025, 2025
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Assessing the net carbon (C) budget of the Amazon entails considering the magnitude and timing of C absorption and losses through respiration (transit time of C). Radiocarbon-based estimates of the transit time of C in the Amazon Tall Tower Observatory (ATTO) suggest a change in the transit time from 6 ± 2 years and 18 ± 4 years within 2 years (October 2019 and December 2021, respectively). This variability indicates that only a fraction of newly fixed C can be stored for decades or longer.
Saqr Munassar, Christian Rödenbeck, Michał Gałkowski, Frank-Thomas Koch, Kai U. Totsche, Santiago Botía, and Christoph Gerbig
Atmos. Chem. Phys., 25, 639–656, https://doi.org/10.5194/acp-25-639-2025, https://doi.org/10.5194/acp-25-639-2025, 2025
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CO2 mole fractions simulated over a global set of stations showed an overestimation of CO2 if the diurnal cycle is missing in biogenic fluxes. This leads to biases in the estimated fluxes derived from the regional-scale inversions. Interannual variability of estimated biogenic fluxes is also affected by the exclusion of the CO2 diurnal cycle. The findings point to the importance of including the diurnal variations of CO2 in the biogenic fluxes used as priors in global and regional inversions.
David Ho, Michał Gałkowski, Friedemann Reum, Santiago Botía, Julia Marshall, Kai Uwe Totsche, and Christoph Gerbig
Geosci. Model Dev., 17, 7401–7422, https://doi.org/10.5194/gmd-17-7401-2024, https://doi.org/10.5194/gmd-17-7401-2024, 2024
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Atmospheric model users often overlook the impact of the land–atmosphere interaction. This study accessed various setups of WRF-GHG simulations that ensure consistency between the model and driving reanalysis fields. We found that a combination of nudging and frequent re-initialization allows certain improvement by constraining the soil moisture fields and, through its impact on atmospheric mixing, improves atmospheric transport.
Luiz A. T. Machado, Jürgen Kesselmeier, Santiago Botía, Hella van Asperen, Meinrat O. Andreae, Alessandro C. de Araújo, Paulo Artaxo, Achim Edtbauer, Rosaria R. Ferreira, Marco A. Franco, Hartwig Harder, Sam P. Jones, Cléo Q. Dias-Júnior, Guido G. Haytzmann, Carlos A. Quesada, Shujiro Komiya, Jost Lavric, Jos Lelieveld, Ingeborg Levin, Anke Nölscher, Eva Pfannerstill, Mira L. Pöhlker, Ulrich Pöschl, Akima Ringsdorf, Luciana Rizzo, Ana M. Yáñez-Serrano, Susan Trumbore, Wanda I. D. Valenti, Jordi Vila-Guerau de Arellano, David Walter, Jonathan Williams, Stefan Wolff, and Christopher Pöhlker
Atmos. Chem. Phys., 24, 8893–8910, https://doi.org/10.5194/acp-24-8893-2024, https://doi.org/10.5194/acp-24-8893-2024, 2024
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Composite analysis of gas concentration before and after rainfall, during the day and night, gives insight into the complex relationship between trace gas variability and precipitation. The analysis helps us to understand the sources and sinks of trace gases within a forest ecosystem. It elucidates processes that are not discernible under undisturbed conditions and contributes to a deeper understanding of the trace gas life cycle and its intricate interactions with cloud dynamics in the Amazon.
Hella van Asperen, Thorsten Warneke, Alessandro Carioca de Araújo, Bruce Forsberg, Sávio José Filgueiras Ferreira, Thomas Röckmann, Carina van der Veen, Sipko Bulthuis, Leonardo Ramos de Oliveira, Thiago de Lima Xavier, Jailson da Mata, Marta de Oliveira Sá, Paulo Ricardo Teixeira, Julie Andrews de França e Silva, Susan Trumbore, and Justus Notholt
Biogeosciences, 21, 3183–3199, https://doi.org/10.5194/bg-21-3183-2024, https://doi.org/10.5194/bg-21-3183-2024, 2024
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Carbon monoxide (CO) is regarded as an important indirect greenhouse gas. Soils can emit and take up CO, but, until now, uncertainty remains as to which process dominates in tropical rainforests. We present the first soil CO flux measurements from a tropical rainforest. Based on our observations, we report that tropical rainforest soils are a net source of CO. In addition, we show that valley streams and inundated areas are likely additional hot spots of CO in the ecosystem.
João Paulo Darela-Filho, Anja Rammig, Katrin Fleischer, Tatiana Reichert, Laynara Figueiredo Lugli, Carlos Alberto Quesada, Luis Carlos Colocho Hurtarte, Mateus Dantas de Paula, and David M. Lapola
Earth Syst. Sci. Data, 16, 715–729, https://doi.org/10.5194/essd-16-715-2024, https://doi.org/10.5194/essd-16-715-2024, 2024
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Phosphorus (P) is crucial for plant growth, and scientists have created models to study how it interacts with carbon cycle in ecosystems. To apply these models, it is important to know the distribution of phosphorus in soil. In this study we estimated the distribution of phosphorus in the Amazon region. The results showed a clear gradient of soil development and P content. These maps can help improve ecosystem models and generate new hypotheses about phosphorus availability in the Amazon.
Eliane Gomes Alves, Raoni Aquino Santana, Cléo Quaresma Dias-Júnior, Santiago Botía, Tyeen Taylor, Ana Maria Yáñez-Serrano, Jürgen Kesselmeier, Efstratios Bourtsoukidis, Jonathan Williams, Pedro Ivo Lembo Silveira de Assis, Giordane Martins, Rodrigo de Souza, Sérgio Duvoisin Júnior, Alex Guenther, Dasa Gu, Anywhere Tsokankunku, Matthias Sörgel, Bruce Nelson, Davieliton Pinto, Shujiro Komiya, Diogo Martins Rosa, Bettina Weber, Cybelli Barbosa, Michelle Robin, Kenneth J. Feeley, Alvaro Duque, Viviana Londoño Lemos, Maria Paula Contreras, Alvaro Idarraga, Norberto López, Chad Husby, Brett Jestrow, and Iván Mauricio Cely Toro
Atmos. Chem. Phys., 23, 8149–8168, https://doi.org/10.5194/acp-23-8149-2023, https://doi.org/10.5194/acp-23-8149-2023, 2023
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Isoprene is emitted mainly by plants and can influence atmospheric chemistry and air quality. But, there are uncertainties in model emission estimates and follow-up atmospheric processes. In our study, with long-term observational datasets of isoprene and biological and environmental factors from central Amazonia, we show that isoprene emission estimates could be improved when biological processes were mechanistically incorporated into the model.
Auke M. van der Woude, Remco de Kok, Naomi Smith, Ingrid T. Luijkx, Santiago Botía, Ute Karstens, Linda M. J. Kooijmans, Gerbrand Koren, Harro A. J. Meijer, Gert-Jan Steeneveld, Ida Storm, Ingrid Super, Hubertus A. Scheeren, Alex Vermeulen, and Wouter Peters
Earth Syst. Sci. Data, 15, 579–605, https://doi.org/10.5194/essd-15-579-2023, https://doi.org/10.5194/essd-15-579-2023, 2023
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To monitor the progress towards the CO2 emission goals set out in the Paris Agreement, the European Union requires an independent validation of emitted CO2. For this validation, atmospheric measurements of CO2 can be used, together with first-guess estimates of CO2 emissions and uptake. To quickly inform end users, it is imperative that this happens in near real-time. To aid these efforts, we create estimates of European CO2 exchange at high resolution in near real time.
Mahdi André Nakhavali, Lina M. Mercado, Iain P. Hartley, Stephen Sitch, Fernanda V. Cunha, Raffaello di Ponzio, Laynara F. Lugli, Carlos A. Quesada, Kelly M. Andersen, Sarah E. Chadburn, Andy J. Wiltshire, Douglas B. Clark, Gyovanni Ribeiro, Lara Siebert, Anna C. M. Moraes, Jéssica Schmeisk Rosa, Rafael Assis, and José L. Camargo
Geosci. Model Dev., 15, 5241–5269, https://doi.org/10.5194/gmd-15-5241-2022, https://doi.org/10.5194/gmd-15-5241-2022, 2022
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In tropical ecosystems, the availability of rock-derived elements such as P can be very low. Thus, without a representation of P cycling, tropical forest responses to rising atmospheric CO2 conditions in areas such as Amazonia remain highly uncertain. We introduced P dynamics and its interactions with the N and P cycles into the JULES model. Our results highlight the potential for high P limitation and therefore lower CO2 fertilization capacity in the Amazon forest with low-fertility soils.
Alice Henkes, Gilberto Fisch, Luiz A. T. Machado, and Jean-Pierre Chaboureau
Atmos. Chem. Phys., 21, 13207–13225, https://doi.org/10.5194/acp-21-13207-2021, https://doi.org/10.5194/acp-21-13207-2021, 2021
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The Amazonian boundary layer is investigated during the dry season in order to better understand the processes that occur between night and day until the stage where shallow cumulus clouds become deep. Observations show that shallow to deep clouds are characterized by a shorter morning transition stage (e.g., the time needed to eliminate the stable boundary layer inversion), while higher humidity above the boundary layer favors the evolution from shallow to deep cumulus clouds.
Cited articles
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Short summary
We investigated how the height of the nocturnal air layer (hn) above the Amazon forest changes over the year and how this influences gas measurements. Using two years of tower observations, we found that this layer is higher during wetter periods and much lower during dry periods linked to large climate events. hn can controls how gases accumulate or disperse at night, which affects how we interpret observations and improve weather and climate predictions.
We investigated how the height of the nocturnal air layer (hn) above the Amazon forest changes...
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