Articles | Volume 16, issue 5
https://doi.org/10.5194/amt-16-1263-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-1263-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Precipitable water vapor retrievals using a ground-based infrared sky camera in subtropical South America
Institute of Physics, University of São Paulo, São Paulo, Brazil
Theotonio Pauliquevis
Department of Environmental Sciences, Federal University of São Paulo, Diadema, Brazil
Henrique Melo Jorge Barbosa
Institute of Physics, University of São Paulo, São Paulo, Brazil
Department of Physics, University of Maryland, Baltimore County, Baltimore, MD, USA
Marcia Akemi Yamasoe
Instituto de Astronomia, Geofísica e Ciências Atmosféricas, University of São Paulo, São Paulo, Brazil
Dimitri Klebe
Solmirus Corporation, Colorado Springs, CO, USA
Alexandre Lima Correia
Institute of Physics, University of São Paulo, São Paulo, Brazil
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Atmos. Chem. Phys., 25, 4587–4616, https://doi.org/10.5194/acp-25-4587-2025, https://doi.org/10.5194/acp-25-4587-2025, 2025
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The chemical composition of fine particulate matter was studied in the megacity of São Paulo (Brazil) during a polluted period. Vehicular-related sources remain relevant; however, a high contribution of biomass burning was observed and correlated with sample ecotoxicity. Emerging biomass burning sources, such as forest fires and sugarcane-bagasse-based power plants, highlight the need for additional control measures alongside stricter rules concerning vehicular emissions.
Nilton Évora do Rosário, Karla M. Longo, Pedro H. Toso, Saulo R. Freitas, Marcia A. Yamasoe, Luiz Flávio Rodrigues, Otavio Medeiros, Haroldo Campos Velho, Isilda da Cunha Menezes, and Ana Isabel Miranda
EGUsphere, https://doi.org/10.5194/egusphere-2025-454, https://doi.org/10.5194/egusphere-2025-454, 2025
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The present article focuses on the topic of observations to constrain aerosol optical properties in climate models . We combine a machine learning approach (based on clustering), used to identify and characterize aerosol optical regimes, with another machine learning technique (Random Forest), used to train the prescription of the identified optical regimes from a mixture of columnar mass density of different aerosol-types.
Marie Brunel, Stephen Wirth, Markus Drüke, Kirsten Thonicke, Henrique Barbosa, Jens Heinke, and Susanne Rolinski
EGUsphere, https://doi.org/10.5194/egusphere-2025-922, https://doi.org/10.5194/egusphere-2025-922, 2025
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Farmers often use fire to clear dead pasture biomass, impacting vegetation and soil nutrients. This study integrates fire management into a DGVM to assess its effects, focusing on Brazil. The results show that combining grazing and fire management reduces vegetation carbon and soil nitrogen over time. The research highlights the need to include these practices in models to improve pasture management assessments and calls for better data on fire usage and its long-term effects.
Jorge Rosas Santana, Gabriela Lima da Silva, Marcia Akemi Yamasoe, and Nilton Èvora do Rosario
EGUsphere, https://doi.org/10.5194/egusphere-2025-9, https://doi.org/10.5194/egusphere-2025-9, 2025
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This study examines a rare event in São Paulo, Brazil, where wildfire smoke from South America mixed with clouds, causing midday darkness on 19 August 2019. Satellite data, surface measurements, and air mass modeling tracked the smoke from fires in Brazil, Bolivia, and Paraguay, transported to São Paulo within two days. The smoke-cloud interaction reduced surface irradiance to zero for 40 minutes and increased radiative efficiency by 7 %, highlighting impacts on air quality, energy, and climate.
Brent A. McBride, J. Vanderlei Martins, J. Dominik Cieslak, Roberto Fernandez-Borda, Anin Puthukkudy, Xiaoguang Xu, Noah Sienkiewicz, Brian Cairns, and Henrique M. J. Barbosa
Atmos. Meas. Tech., 17, 5709–5729, https://doi.org/10.5194/amt-17-5709-2024, https://doi.org/10.5194/amt-17-5709-2024, 2024
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The Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) is a new Earth-observing instrument that provides highly accurate measurements of the atmosphere and surface. Using a physics-based calibration technique, we show that AirHARP achieves high measurement accuracy in laboratory and field environments and exceeds a benchmark accuracy requirement for modern aerosol and cloud climate observations. Therefore, the HARP design is highly attractive for upcoming NASA climate missions.
Leandro Alex Moreira Viscardi, Giuseppe Torri, David K. Adams, and Henrique de Melo Jorge Barbosa
Atmos. Chem. Phys., 24, 8529–8548, https://doi.org/10.5194/acp-24-8529-2024, https://doi.org/10.5194/acp-24-8529-2024, 2024
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We evaluate the environmental conditions that control how clouds grow from fair weather cumulus into severe thunderstorms during the Amazonian wet season. Days with rain clouds begin with more moisture in the air and have strong convergence in the afternoon, while precipitation intensity increases with large-scale vertical velocity, moisture, and low-level wind. These results contribute to understanding how clouds form over the rainforest.
Juan Vicente Pallotta, Silvânia Alves de Carvalho, Fabio Juliano da Silva Lopes, Alexandre Cacheffo, Eduardo Landulfo, and Henrique Melo Jorge Barbosa
Geosci. Instrum. Method. Data Syst., 12, 171–185, https://doi.org/10.5194/gi-12-171-2023, https://doi.org/10.5194/gi-12-171-2023, 2023
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Lidar networks coordinate efforts of different groups, providing guidelines to homogenize retrievals from different instruments. We describe an ongoing effort to develop the Lidar Processing Pipeline (LPP) collaboratively, a collection of tools developed in C/C++ to handle all the steps of a typical lidar analysis. Analysis of simulations and real lidar data showcases the LPP’s features. From this exercise, we draw a roadmap to guide future development, accommodating the needs of our community.
Nilton Évora do Rosário, Elisa Thomé Sena, and Marcia Akemi Yamasoe
Atmos. Chem. Phys., 22, 15021–15033, https://doi.org/10.5194/acp-22-15021-2022, https://doi.org/10.5194/acp-22-15021-2022, 2022
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The 2020 burning season in Brazil was marked by an atypically high number of fire spots across Pantanal, leading to high amounts of smoke within the biome. This study shows that smoke over Pantanal, usually a fraction of that over Amazonia, was higher and resulted mainly from fires in conservation and indigenous areas. It also contributes to highlighting Pantanal's 2020 burning season as the worst combination of a climate extreme scenario and inadequately enforced environmental regulations.
Carlos Alberti, Frank Hase, Matthias Frey, Darko Dubravica, Thomas Blumenstock, Angelika Dehn, Paolo Castracane, Gregor Surawicz, Roland Harig, Bianca C. Baier, Caroline Bès, Jianrong Bi, Hartmut Boesch, André Butz, Zhaonan Cai, Jia Chen, Sean M. Crowell, Nicholas M. Deutscher, Dragos Ene, Jonathan E. Franklin, Omaira García, David Griffith, Bruno Grouiez, Michel Grutter, Abdelhamid Hamdouni, Sander Houweling, Neil Humpage, Nicole Jacobs, Sujong Jeong, Lilian Joly, Nicholas B. Jones, Denis Jouglet, Rigel Kivi, Ralph Kleinschek, Morgan Lopez, Diogo J. Medeiros, Isamu Morino, Nasrin Mostafavipak, Astrid Müller, Hirofumi Ohyama, Paul I. Palmer, Mahesh Pathakoti, David F. Pollard, Uwe Raffalski, Michel Ramonet, Robbie Ramsay, Mahesh Kumar Sha, Kei Shiomi, William Simpson, Wolfgang Stremme, Youwen Sun, Hiroshi Tanimoto, Yao Té, Gizaw Mengistu Tsidu, Voltaire A. Velazco, Felix Vogel, Masataka Watanabe, Chong Wei, Debra Wunch, Marcia Yamasoe, Lu Zhang, and Johannes Orphal
Atmos. Meas. Tech., 15, 2433–2463, https://doi.org/10.5194/amt-15-2433-2022, https://doi.org/10.5194/amt-15-2433-2022, 2022
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Space-borne greenhouse gas missions require ground-based validation networks capable of providing fiducial reference measurements. Here, considerable refinements of the calibration procedures for the COllaborative Carbon Column Observing Network (COCCON) are presented. Laboratory and solar side-by-side procedures for the characterization of the spectrometers have been refined and extended. Revised calibration factors for XCO2, XCO and XCH4 are provided, incorporating 47 new spectrometers.
Marco A. Franco, Florian Ditas, Leslie A. Kremper, Luiz A. T. Machado, Meinrat O. Andreae, Alessandro Araújo, Henrique M. J. Barbosa, Joel F. de Brito, Samara Carbone, Bruna A. Holanda, Fernando G. Morais, Janaína P. Nascimento, Mira L. Pöhlker, Luciana V. Rizzo, Marta Sá, Jorge Saturno, David Walter, Stefan Wolff, Ulrich Pöschl, Paulo Artaxo, and Christopher Pöhlker
Atmos. Chem. Phys., 22, 3469–3492, https://doi.org/10.5194/acp-22-3469-2022, https://doi.org/10.5194/acp-22-3469-2022, 2022
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In Central Amazonia, new particle formation in the planetary boundary layer is rare. Instead, there is the appearance of sub-50 nm aerosols with diameters larger than about 20 nm that eventually grow to cloud condensation nuclei size range. Here, 254 growth events were characterized which have higher predominance in the wet season. About 70 % of them showed direct relation to convective downdrafts, while 30 % occurred partly under clear-sky conditions, evidencing still unknown particle sources.
Janaína P. Nascimento, Megan M. Bela, Bruno B. Meller, Alessandro L. Banducci, Luciana V. Rizzo, Angel Liduvino Vara-Vela, Henrique M. J. Barbosa, Helber Gomes, Sameh A. A. Rafee, Marco A. Franco, Samara Carbone, Glauber G. Cirino, Rodrigo A. F. Souza, Stuart A. McKeen, and Paulo Artaxo
Atmos. Chem. Phys., 21, 6755–6779, https://doi.org/10.5194/acp-21-6755-2021, https://doi.org/10.5194/acp-21-6755-2021, 2021
Marcia Akemi Yamasoe, Nilton Manuel Évora Rosário, Samantha Novaes Santos Martins Almeida, and Martin Wild
Atmos. Chem. Phys., 21, 6593–6603, https://doi.org/10.5194/acp-21-6593-2021, https://doi.org/10.5194/acp-21-6593-2021, 2021
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Spatio-temporal disparity to assess global dimming and brightening phenomena has been a critical topic. For instance, few studies addressed surface solar irradiation (SSR) long-term trend in South America. In this study, SSR, sunshine duration (SD) and the diurnal temperature range (DTR) are analysed for São Paulo, Brazil. We found a dimming phase, identified by SSR, SD and DTR, extending till 1983. Then, while SSR is still declining, consistent with cloud increasing, SD and DTR are increasing.
Anin Puthukkudy, J. Vanderlei Martins, Lorraine A. Remer, Xiaoguang Xu, Oleg Dubovik, Pavel Litvinov, Brent McBride, Sharon Burton, and Henrique M. J. Barbosa
Atmos. Meas. Tech., 13, 5207–5236, https://doi.org/10.5194/amt-13-5207-2020, https://doi.org/10.5194/amt-13-5207-2020, 2020
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In this work, we report the demonstration and validation of the aerosol properties retrieved using AirHARP and GRASP for data from the NASA ACEPOL campaign 2017. These results serve as a proxy for the scale and detail of aerosol retrievals that are anticipated from future space mission data, as HARP CubeSat (mission begins 2020) and HARP2 (aboard the NASA PACE mission with the launch in 2023) are near duplicates of AirHARP and are expected to provide the same level of aerosol characterization.
Kirk Knobelspiesse, Henrique M. J. Barbosa, Christine Bradley, Carol Bruegge, Brian Cairns, Gao Chen, Jacek Chowdhary, Anthony Cook, Antonio Di Noia, Bastiaan van Diedenhoven, David J. Diner, Richard Ferrare, Guangliang Fu, Meng Gao, Michael Garay, Johnathan Hair, David Harper, Gerard van Harten, Otto Hasekamp, Mark Helmlinger, Chris Hostetler, Olga Kalashnikova, Andrew Kupchock, Karla Longo De Freitas, Hal Maring, J. Vanderlei Martins, Brent McBride, Matthew McGill, Ken Norlin, Anin Puthukkudy, Brian Rheingans, Jeroen Rietjens, Felix C. Seidel, Arlindo da Silva, Martijn Smit, Snorre Stamnes, Qian Tan, Sebastian Val, Andrzej Wasilewski, Feng Xu, Xiaoguang Xu, and John Yorks
Earth Syst. Sci. Data, 12, 2183–2208, https://doi.org/10.5194/essd-12-2183-2020, https://doi.org/10.5194/essd-12-2183-2020, 2020
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The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) field campaign is a resource for the next generation of spaceborne multi-angle polarimeter (MAP) and lidar missions. Conducted in the fall of 2017 from the Armstrong Flight Research Center in Palmdale, California, four MAP instruments and two lidars were flown on the high-altitude ER-2 aircraft over a variety of scene types and ground assets. Data are freely available to the public and useful for algorithm development and testing.
Cited articles
Adams, D. K., Fernandes, R. M. S., Kursinski, E. R., Maia, J. M., Sapucci,
L. F., Machado, L. A. T., Vitorello, I., Monico, J. F. G., Holub, K. L.,
Gutman, S. I., Filizola, N., and Bennett, R. A.: A dense GNSS
meteorological network for observing deep convection in the Amazon,
Atmos. Sci. Lett., 12, 207–212, https://doi.org/10.1002/asl.312, 2011. a
Adams, D. K., Gutman, S. I., Holub, K. L., and Pereira, D. S.: GNSS
observations of deep convective time scales in the Amazon, Geophys.
Res. Lett., 40, 2818–2823, https://doi.org/10.1002/grl.50573, 2013. a
Anderson, G. P., Clough, S. A., Kneizys, F. X., Chetwynd, J. H., and Shettle,
E. P.: AFGL atmospheric constituent profiles (0–120 km), Tech. Rep.
AFGL-TR-86-0110, Tech. rep., Air Force Geophysics Laboratory, Hanscom Air Force Base, Bedford, Mass,
https://www.osti.gov/biblio/6862535 (last access: 30 August 2022), https://apps.dtic.mil/sti/pdfs/ADA175173.pdf (last access: 30 August 2022), 1986. a, b, c
Benevides, P., Catalao, J., and Miranda, P. M. A.: On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall, Nat. Hazards Earth Syst. Sci., 15, 2605–2616, https://doi.org/10.5194/nhess-15-2605-2015, 2015. a
Castro-Almazán, J. A., Pérez-Jordán, G., and Muñoz-Tuñón, C.: A semiempirical error estimation technique for PWV derived from atmospheric radiosonde data, Atmos. Meas. Tech., 9, 4759–4781, https://doi.org/10.5194/amt-9-4759-2016, 2016. a, b, c
Dionisi, D., Keckhut, P., Courcoux, Y., Hauchecorne, A., Porteneuve, J., Baray, J. L., Leclair de Bellevue, J., Vérèmes, H., Gabarrot, F., Payen, G., Decoupes, R., and Cammas, J. P.: Water vapor observations up to the lower stratosphere through the Raman lidar during the Maïdo Lidar Calibration Campaign, Atmos. Meas. Tech., 8, 1425–1445, https://doi.org/10.5194/amt-8-1425-2015, 2015. a
Emde, C., Buras-Schnell, R., Kylling, A., Mayer, B., Gasteiger, J., Hamann, U., Kylling, J., Richter, B., Pause, C., Dowling, T., and Bugliaro, L.: The libRadtran software package for radiative transfer calculations (version 2.0.1), Geosci. Model Dev., 9, 1647–1672, https://doi.org/10.5194/gmd-9-1647-2016, 2016. a, b
Eytan, E., Koren, I., Altaratz, O., Kostinski, A. B., and Ronen, A.: Longwave
radiative effect of the cloud twilight zone, Nat. Geosci., 13, 669–673,
https://doi.org/10.1038/s41561-020-0636-8, 2020. a
Gong, Y., Liu, Z., and Foster, J. H.: Evaluating the Accuracy of
Satellite-Based Microwave Radiometer PWV Products Using
Shipborne GNSS Observations Across the Pacific Ocean,
IEEE T. Geosci. Remote, 60, 1–10,
https://doi.org/10.1109/TGRS.2021.3129001, 2022. a
Hack, E. D.: Radiosonde and sun photometer data set, Zenodo [data set], https://doi.org/10.5281/zenodo.7683313, 2023a. a
Hack, E. D.: ASIVA processing code suite, Zenodo [code], https://doi.org/10.5281/zenodo.7683317, 2023b. a
Hartmann, D. L.: Global physical climatology, Elsevier, Amsterdam Boston
Heidelberg London New York Oxford Paris San Diego San Francisco Singapore
Sydney Tokyo, 2nd Edn., 498 pp., ISBN 9780080918624, 2016. a
Holben, B., Eck, T., Slutsker, I., Tanré, D., Buis, J., Setzer, A., Vermote,
E., Reagan, J., Kaufman, Y., Nakajima, T., Lavenu, F., Jankowiak, I., and
Smirnov, A.: AERONET – A Federated Instrument Network and Data
Archive for Aerosol Characterization, Remote Sens. Environ.,
66, 1–16, https://doi.org/10.1016/S0034-4257(98)00031-5, 1998. a, b, c
Holloway, C. E. and Neelin, J. D.: Moisture Vertical Structure, Column
Water Vapor, and Tropical Deep Convection,
J. Atmos. Sci., 66, 1665–1683, https://doi.org/10.1175/2008JAS2806.1, 2009. a
Holloway, C. E. and Neelin, J. D.: Temporal Relations of Column Water
Vapor and Tropical Precipitation, J. Atmos. Sci.,
67, 1091–1105, https://doi.org/10.1175/2009JAS3284.1, 2010. a
Kelsey, V., Riley, S., and Minschwaner, K.: Atmospheric precipitable water vapor and its correlation with clear-sky infrared temperature observations, Atmos. Meas. Tech., 15, 1563–1576, https://doi.org/10.5194/amt-15-1563-2022, 2022. a
Labzovskii, L. D., Papayannis, A., Binietoglou, I., Banks, R. F., Baldasano, J. M., Toanca, F., Tzanis, C. G., and Christodoulakis, J.: Relative humidity vertical profiling using lidar-based synergistic methods in the framework of the Hygra-CD campaign, Ann. Geophys., 36, 213–229, https://doi.org/10.5194/angeo-36-213-2018, 2018. a
Mayer, B. and Kylling, A.: Technical note: The libRadtran software package for radiative transfer calculations - description and examples of use, Atmos. Chem. Phys., 5, 1855–1877, https://doi.org/10.5194/acp-5-1855-2005, 2005.
a
NASA: National Aeronautics and Space Administration: AERONET Water Vapor, 2000–2019, NASA [data set], https://aeronet.gsfc.nasa.gov/cgi-bin/data_display_aod_v3?site=Sao_Paulo&nachal=0&year=YYYY&aero_water=1&level=3&if_day=0&if_err=0&place_code=10&year_or_month=1, last access: 29 August 2022. a
Pérez-Ramírez, D., Whiteman, D. N., Smirnov, A., Lyamani, H., Holben, B. N.,
Pinker, R., Andrade, M., and Alados-Arboledas, L.: Evaluation of AERONET
precipitable water vapor versus microwave radiometry, GPS, and radiosondes
at ARM sites, J. Geophys. Res.-Atmos., 119,
9596–9613, https://doi.org/10.1002/2014JD021730, 2014. a, b, c
Renju, R., Suresh Raju, C., Mathew, N., Antony, T., and Krishna Moorthy, K.:
Microwave radiometer observations of interannual water vapor variability and
vertical structure over a tropical station, J. Geophys. Res.-Atmos., 120, 4585–4599, https://doi.org/10.1002/2014JD022838, 2015. a
Schmit, T. J., Li, J., Lee, S. J., Li, Z., Dworak, R., Lee, Y., Bowlan, M.,
Gerth, J., Martin, G. D., Straka, W., Baggett, K. C., and Cronce, L.: Legacy
Atmospheric Profiles and Derived Products From GOES‐16:
Validation and Applications, Earth Space Sci., 6, 1730–1748,
https://doi.org/10.1029/2019EA000729, 2019. a
Seemann, S. W., Li, J., Menzel, W. P., and Gumley, L. E.: Operational
Retrieval of Atmospheric Temperature, Moisture, and Ozone from
MODIS Infrared Radiances, J. Appl. Meteorol., 42,
1072–1091, https://doi.org/10.1175/1520-0450(2003)042<1072:OROATM>2.0.CO;2, 2003. a
Smirnov, A., Holben, B., Eck, T., Dubovik, O., and Slutsker, I.:
Cloud-Screening and Quality Control Algorithms for the AERONET
Database, Remote Sens. Environ., 73, 337–349,
https://doi.org/10.1016/S0034-4257(00)00109-7, 2000. a
University of Wyoming: Upper air atmospheric soundings, 2000–2019, University of Wyoming [data set], https://weather.uwyo.edu/cgi-bin/sounding?region=samer&TYPE=TEXT%3ALIST&YEAR=YYYY&MONTH=MM&FROM=DD12&TO=DD12&STNM=83779, last access: 29 August 2022. a
Short summary
Water vapor is a key factor when seeking to understand fast-changing processes when clouds and storms form and develop. We show here how images from a calibrated infrared camera can be used to derive how much water vapor there is in the atmosphere at a given time. Comparing our results to an established technique, for a case of stable atmospheric conditions, we found an agreement within 2.8 %. Water vapor sky maps can be retrieved every few minutes, day or night, under partly cloudy skies.
Water vapor is a key factor when seeking to understand fast-changing processes when clouds and...