Articles | Volume 21, issue 21
https://doi.org/10.5194/acp-21-16427-2021
© Author(s) 2021. 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-21-16427-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement report
| 
10 Nov 2021
Measurement report |
| 10 Nov 2021
| 10 Nov 2021
Measurement report: Regional characteristics of seasonal and long-term variations in greenhouse gases at Nainital, India, and Comilla, Bangladesh
Shohei Nomura
CORRESPONDING AUTHOR
Center for Global Environmental Research, National Institute for
Environmental Studies, 16–2 Onogawa, Tsukuba, Ibaraki, 305–8506, Japan
Manish Naja
Aryabhatta Research Institute of Observational Sciences, Manora Peak, Nainital Uttarakhand 263129, India
M. Kawser Ahmed
Department of Oceanography, Faculty of Earth & Environmental
Sciences, University of Dhaka, Dhaka–1000, Bangladesh
Hitoshi Mukai
Center for Global Environmental Research, National Institute for
Environmental Studies, 16–2 Onogawa, Tsukuba, Ibaraki, 305–8506, Japan
Yukio Terao
Center for Global Environmental Research, National Institute for
Environmental Studies, 16–2 Onogawa, Tsukuba, Ibaraki, 305–8506, Japan
Toshinobu Machida
Center for Global Environmental Research, National Institute for
Environmental Studies, 16–2 Onogawa, Tsukuba, Ibaraki, 305–8506, Japan
Motoki Sasakawa
Center for Global Environmental Research, National Institute for
Environmental Studies, 16–2 Onogawa, Tsukuba, Ibaraki, 305–8506, Japan
Prabir K. Patra
Research Institute for Global Change, JAMSTEC, 3173–25 Showa-machi, Yokohama, 236–0001, Japan
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Hanqin Tian, Naiqing Pan, Rona L. Thompson, Josep G. Canadell, Parvadha Suntharalingam, Pierre Regnier, Eric A. Davidson, Michael Prather, Philippe Ciais, Marilena Muntean, Shufen Pan, Wilfried Winiwarter, Sönke Zaehle, Feng Zhou, Robert B. Jackson, Hermann W. Bange, Sarah Berthet, Zihao Bian, Daniele Bianchi, Alexander F. Bouwman, Erik T. Buitenhuis, Geoffrey Dutton, Minpeng Hu, Akihiko Ito, Atul K. Jain, Aurich Jeltsch-Thömmes, Fortunat Joos, Sian Kou-Giesbrecht, Paul B. Krummel, Xin Lan, Angela Landolfi, Ronny Lauerwald, Ya Li, Chaoqun Lu, Taylor Maavara, Manfredi Manizza, Dylan B. Millet, Jens Mühle, Prabir K. Patra, Glen P. Peters, Xiaoyu Qin, Peter Raymond, Laure Resplandy, Judith A. Rosentreter, Hao Shi, Qing Sun, Daniele Tonina, Francesco N. Tubiello, Guido R. van der Werf, Nicolas Vuichard, Junjie Wang, Kelley C. Wells, Luke M. Western, Chris Wilson, Jia Yang, Yuanzhi Yao, Yongfa You, and Qing Zhu
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Astrid Müller, Hiroshi Tanimoto, Takafumi Sugita, Prabir K. Patra, Shin-ichiro Nakaoka, Toshinobu Machida, Isamu Morino, André Butz, and Kei Shiomi
Atmos. Meas. Tech., 17, 1297–1316, https://doi.org/10.5194/amt-17-1297-2024, https://doi.org/10.5194/amt-17-1297-2024, 2024
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Satellite CH4 observations with high accuracy are needed to understand changes in atmospheric CH4 concentrations. But over oceans, reference data are limited. We combine various ship and aircraft observations with the help of atmospheric chemistry models to derive observation-based column-averaged mixing ratios of CH4 (obs. XCH4). We discuss three different approaches and demonstrate the applicability of the new reference dataset for carbon cycle studies and satellite evaluation.
Mounia Mostefaoui, Philippe Ciais, Matthew J. McGrath, Philippe Peylin, Prabir K. Patra, and Yolandi Ernst
Earth Syst. Sci. Data, 16, 245–275, https://doi.org/10.5194/essd-16-245-2024, https://doi.org/10.5194/essd-16-245-2024, 2024
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Adedayo R. Adedeji, Stephen J. Andrews, Matthew J. Rowlinson, Mathew J. Evans, Alastair C. Lewis, Shigeru Hashimoto, Hitoshi Mukai, Hiroshi Tanimoto, Yasunori Tohjima, and Takuya Saito
Atmos. Chem. Phys., 23, 9229–9244, https://doi.org/10.5194/acp-23-9229-2023, https://doi.org/10.5194/acp-23-9229-2023, 2023
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We use the GEOS-Chem model to interpret observations of CO, C2H6, C3H8, NOx, NOy and O3 made from Hateruma Island in 2018. The model captures many synoptic-scale events and the seasonality of most pollutants at the site but underestimates C2H6 and C3H8 during the winter. These underestimates are unlikely to be reconciled by increases in biomass burning emissions but could be reconciled by increasing the Asian anthropogenic source of C2H6 and C3H8 by factors of around 2 and 3, respectively.
Sophie Wittig, Antoine Berchet, Isabelle Pison, Marielle Saunois, Joël Thanwerdas, Adrien Martinez, Jean-Daniel Paris, Toshinobu Machida, Motoki Sasakawa, Douglas E. J. Worthy, Xin Lan, Rona L. Thompson, Espen Sollum, and Mikhail Arshinov
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Jagat S. H. Bisht, Prabir K. Patra, Masayuki Takigawa, Takashi Sekiya, Yugo Kanaya, Naoko Saitoh, and Kazuyuki Miyazaki
Geosci. Model Dev., 16, 1823–1838, https://doi.org/10.5194/gmd-16-1823-2023, https://doi.org/10.5194/gmd-16-1823-2023, 2023
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Yu Someya, Yukio Yoshida, Hirofumi Ohyama, Shohei Nomura, Akihide Kamei, Isamu Morino, Hitoshi Mukai, Tsuneo Matsunaga, Joshua L. Laughner, Voltaire A. Velazco, Benedikt Herkommer, Yao Té, Mahesh Kumar Sha, Rigel Kivi, Minqiang Zhou, Young Suk Oh, Nicholas M. Deutscher, and David W. T. Griffith
Atmos. Meas. Tech., 16, 1477–1501, https://doi.org/10.5194/amt-16-1477-2023, https://doi.org/10.5194/amt-16-1477-2023, 2023
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Ana Maria Roxana Petrescu, Chunjing Qiu, Matthew J. McGrath, Philippe Peylin, Glen P. Peters, Philippe Ciais, Rona L. Thompson, Aki Tsuruta, Dominik Brunner, Matthias Kuhnert, Bradley Matthews, Paul I. Palmer, Oksana Tarasova, Pierre Regnier, Ronny Lauerwald, David Bastviken, Lena Höglund-Isaksson, Wilfried Winiwarter, Giuseppe Etiope, Tuula Aalto, Gianpaolo Balsamo, Vladislav Bastrikov, Antoine Berchet, Patrick Brockmann, Giancarlo Ciotoli, Giulia Conchedda, Monica Crippa, Frank Dentener, Christine D. Groot Zwaaftink, Diego Guizzardi, Dirk Günther, Jean-Matthieu Haussaire, Sander Houweling, Greet Janssens-Maenhout, Massaer Kouyate, Adrian Leip, Antti Leppänen, Emanuele Lugato, Manon Maisonnier, Alistair J. Manning, Tiina Markkanen, Joe McNorton, Marilena Muntean, Gabriel D. Oreggioni, Prabir K. Patra, Lucia Perugini, Isabelle Pison, Maarit T. Raivonen, Marielle Saunois, Arjo J. Segers, Pete Smith, Efisio Solazzo, Hanqin Tian, Francesco N. Tubiello, Timo Vesala, Guido R. van der Werf, Chris Wilson, and Sönke Zaehle
Earth Syst. Sci. Data, 15, 1197–1268, https://doi.org/10.5194/essd-15-1197-2023, https://doi.org/10.5194/essd-15-1197-2023, 2023
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This study updates the state-of-the-art scientific overview of CH4 and N2O emissions in the EU27 and UK in Petrescu et al. (2021a). Yearly updates are needed to improve the different respective approaches and to inform on the development of formal verification systems. It integrates the most recent emission inventories, process-based model and regional/global inversions, comparing them with UNFCCC national GHG inventories, in support to policy to facilitate real-time verification procedures.
Brendan Byrne, David F. Baker, Sourish Basu, Michael Bertolacci, Kevin W. Bowman, Dustin Carroll, Abhishek Chatterjee, Frédéric Chevallier, Philippe Ciais, Noel Cressie, David Crisp, Sean Crowell, Feng Deng, Zhu Deng, Nicholas M. Deutscher, Manvendra K. Dubey, Sha Feng, Omaira E. García, David W. T. Griffith, Benedikt Herkommer, Lei Hu, Andrew R. Jacobson, Rajesh Janardanan, Sujong Jeong, Matthew S. Johnson, Dylan B. A. Jones, Rigel Kivi, Junjie Liu, Zhiqiang Liu, Shamil Maksyutov, John B. Miller, Scot M. Miller, Isamu Morino, Justus Notholt, Tomohiro Oda, Christopher W. O'Dell, Young-Suk Oh, Hirofumi Ohyama, Prabir K. Patra, Hélène Peiro, Christof Petri, Sajeev Philip, David F. Pollard, Benjamin Poulter, Marine Remaud, Andrew Schuh, Mahesh K. Sha, Kei Shiomi, Kimberly Strong, Colm Sweeney, Yao Té, Hanqin Tian, Voltaire A. Velazco, Mihalis Vrekoussis, Thorsten Warneke, John R. Worden, Debra Wunch, Yuanzhi Yao, Jeongmin Yun, Andrew Zammit-Mangion, and Ning Zeng
Earth Syst. Sci. Data, 15, 963–1004, https://doi.org/10.5194/essd-15-963-2023, https://doi.org/10.5194/essd-15-963-2023, 2023
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Changes in the carbon stocks of terrestrial ecosystems result in emissions and removals of CO2. These can be driven by anthropogenic activities (e.g., deforestation), natural processes (e.g., fires) or in response to rising CO2 (e.g., CO2 fertilization). This paper describes a dataset of CO2 emissions and removals derived from atmospheric CO2 observations. This pilot dataset informs current capabilities and future developments towards top-down monitoring and verification systems.
Prajjwal Rawat, Manish Naja, Evan Fishbein, Pradeep K. Thapliyal, Rajesh Kumar, Piyush Bhardwaj, Aditya Jaiswal, Sugriva N. Tiwari, Sethuraman Venkataramani, and Shyam Lal
Atmos. Meas. Tech., 16, 889–909, https://doi.org/10.5194/amt-16-889-2023, https://doi.org/10.5194/amt-16-889-2023, 2023
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Satellite-based ozone observations have gained importance due to their global coverage. However, satellite-retrieved products are indirect and need to be validated, particularly over mountains. Ozonesondes launched from a Himalayan site are used to assess the Atmospheric Infrared Sounder (AIRS) ozone retrieval. AIRS is shown to overestimate ozone in the upper troposphere and lower stratosphere, while the differences from ozonesondes are more minor in the middle troposphere and stratosphere.
Sourish Basu, Xin Lan, Edward Dlugokencky, Sylvia Michel, Stefan Schwietzke, John B. Miller, Lori Bruhwiler, Youmi Oh, Pieter P. Tans, Francesco Apadula, Luciana V. Gatti, Armin Jordan, Jaroslaw Necki, Motoki Sasakawa, Shinji Morimoto, Tatiana Di Iorio, Haeyoung Lee, Jgor Arduini, and Giovanni Manca
Atmos. Chem. Phys., 22, 15351–15377, https://doi.org/10.5194/acp-22-15351-2022, https://doi.org/10.5194/acp-22-15351-2022, 2022
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Atmospheric methane (CH4) has been growing steadily since 2007 for reasons that are not well understood. Here we determine sources of methane using a technique informed by atmospheric measurements of CH4 and its isotopologue 13CH4. Measurements of 13CH4 provide for better separation of microbial, fossil, and fire sources of methane than CH4 measurements alone. Compared to previous assessments such as the Global Carbon Project, we find a larger microbial contribution to the post-2007 increase.
Hossain Mohammed Syedul Hoque, Kengo Sudo, Hitoshi Irie, Alessandro Damiani, Manish Naja, and Al Mashroor Fatmi
Atmos. Chem. Phys., 22, 12559–12589, https://doi.org/10.5194/acp-22-12559-2022, https://doi.org/10.5194/acp-22-12559-2022, 2022
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Nitrogen dioxide (NO2) and formaldehyde (HCHO) are essential trace graces regulating tropospheric ozone chemistry. These trace constituents are measured using an optical passive remote sensing technique. In addition, NO2 and HCHO are simulated with a computer model and evaluated against the observations. Such evaluations are essential to assess model uncertainties and improve their predictability. The results yielded good agreement between the two datasets with some discrepancies.
Naveen Chandra, Prabir K. Patra, Yousuke Niwa, Akihiko Ito, Yosuke Iida, Daisuke Goto, Shinji Morimoto, Masayuki Kondo, Masayuki Takigawa, Tomohiro Hajima, and Michio Watanabe
Atmos. Chem. Phys., 22, 9215–9243, https://doi.org/10.5194/acp-22-9215-2022, https://doi.org/10.5194/acp-22-9215-2022, 2022
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This paper is intended to accomplish two goals: (1) quantify mean and uncertainty in non-fossil-fuel CO2 fluxes estimated by inverse modeling and (2) provide in-depth analyses of regional CO2 fluxes in support of emission mitigation policymaking. CO2 flux variability and trends are discussed concerning natural climate variability and human disturbances using multiple lines of evidence.
Philippe Ciais, Ana Bastos, Frédéric Chevallier, Ronny Lauerwald, Ben Poulter, Josep G. Canadell, Gustaf Hugelius, Robert B. Jackson, Atul Jain, Matthew Jones, Masayuki Kondo, Ingrid T. Luijkx, Prabir K. Patra, Wouter Peters, Julia Pongratz, Ana Maria Roxana Petrescu, Shilong Piao, Chunjing Qiu, Celso Von Randow, Pierre Regnier, Marielle Saunois, Robert Scholes, Anatoly Shvidenko, Hanqin Tian, Hui Yang, Xuhui Wang, and Bo Zheng
Geosci. Model Dev., 15, 1289–1316, https://doi.org/10.5194/gmd-15-1289-2022, https://doi.org/10.5194/gmd-15-1289-2022, 2022
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The second phase of the Regional Carbon Cycle Assessment and Processes (RECCAP) will provide updated quantification and process understanding of CO2, CH4, and N2O emissions and sinks for ten regions of the globe. In this paper, we give definitions, review different methods, and make recommendations for estimating different components of the total land–atmosphere carbon exchange for each region in a consistent and complete approach.
Yosuke Niwa, Yousuke Sawa, Hideki Nara, Toshinobu Machida, Hidekazu Matsueda, Taku Umezawa, Akihiko Ito, Shin-Ichiro Nakaoka, Hiroshi Tanimoto, and Yasunori Tohjima
Atmos. Chem. Phys., 21, 9455–9473, https://doi.org/10.5194/acp-21-9455-2021, https://doi.org/10.5194/acp-21-9455-2021, 2021
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Fires in Equatorial Asia release a large amount of carbon into the atmosphere. Extensively using high-precision atmospheric carbon dioxide (CO2) data from a commercial aircraft observation project, we estimated fire carbon emissions in Equatorial Asia induced by the big El Niño event in 2015. Additional shipboard measurement data elucidated the validity of the analysis and the best estimate indicated 273 Tg C for fire emissions during September–October 2015.
Astrid Müller, Hiroshi Tanimoto, Takafumi Sugita, Toshinobu Machida, Shin-ichiro Nakaoka, Prabir K. Patra, Joshua Laughner, and David Crisp
Atmos. Chem. Phys., 21, 8255–8271, https://doi.org/10.5194/acp-21-8255-2021, https://doi.org/10.5194/acp-21-8255-2021, 2021
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Over oceans, high uncertainties in satellite CO2 retrievals exist due to limited reference data. We combine commercial ship and aircraft observations and, with the aid of model calculations, obtain column-averaged mixing ratios of CO2 (XCO2) data over the Pacific Ocean. This new dataset has great potential as a robust reference for XCO2 measured from space and can help to better understand changes in the carbon cycle in response to climate change using satellite observations.
Ana Maria Roxana Petrescu, Chunjing Qiu, Philippe Ciais, Rona L. Thompson, Philippe Peylin, Matthew J. McGrath, Efisio Solazzo, Greet Janssens-Maenhout, Francesco N. Tubiello, Peter Bergamaschi, Dominik Brunner, Glen P. Peters, Lena Höglund-Isaksson, Pierre Regnier, Ronny Lauerwald, David Bastviken, Aki Tsuruta, Wilfried Winiwarter, Prabir K. Patra, Matthias Kuhnert, Gabriel D. Oreggioni, Monica Crippa, Marielle Saunois, Lucia Perugini, Tiina Markkanen, Tuula Aalto, Christine D. Groot Zwaaftink, Hanqin Tian, Yuanzhi Yao, Chris Wilson, Giulia Conchedda, Dirk Günther, Adrian Leip, Pete Smith, Jean-Matthieu Haussaire, Antti Leppänen, Alistair J. Manning, Joe McNorton, Patrick Brockmann, and Albertus Johannes Dolman
Earth Syst. Sci. Data, 13, 2307–2362, https://doi.org/10.5194/essd-13-2307-2021, https://doi.org/10.5194/essd-13-2307-2021, 2021
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This study is topical and provides a state-of-the-art scientific overview of data availability from bottom-up and top-down CH4 and N2O emissions in the EU27 and UK. The data integrate recent emission inventories with process-based model data and regional/global inversions for the European domain, aiming at reconciling them with official country-level UNFCCC national GHG inventories in support to policy and to facilitate real-time verification procedures.
Stijn Naus, Stephen A. Montzka, Prabir K. Patra, and Maarten C. Krol
Atmos. Chem. Phys., 21, 4809–4824, https://doi.org/10.5194/acp-21-4809-2021, https://doi.org/10.5194/acp-21-4809-2021, 2021
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Following up on previous box model studies, we employ a 3D transport model to estimate variations in the hydroxyl radical (OH) from observations of methyl chloroform (MCF). We derive small interannual OH variations that are consistent with variations in the El Niño–Southern Oscillation. We also find evidence for the release of MCF from oceans in atmospheric gradients of MCF. Both findings highlight the added value of a 3D transport model since box model studies did not identify these effects.
Shamil Maksyutov, Tomohiro Oda, Makoto Saito, Rajesh Janardanan, Dmitry Belikov, Johannes W. Kaiser, Ruslan Zhuravlev, Alexander Ganshin, Vinu K. Valsala, Arlyn Andrews, Lukasz Chmura, Edward Dlugokencky, László Haszpra, Ray L. Langenfelds, Toshinobu Machida, Takakiyo Nakazawa, Michel Ramonet, Colm Sweeney, and Douglas Worthy
Atmos. Chem. Phys., 21, 1245–1266, https://doi.org/10.5194/acp-21-1245-2021, https://doi.org/10.5194/acp-21-1245-2021, 2021
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In order to improve the top-down estimation of the anthropogenic greenhouse gas emissions, a high-resolution inverse modelling technique was developed for applications to global transport modelling of carbon dioxide and other greenhouse gases. A coupled Eulerian–Lagrangian transport model and its adjoint are combined with surface fluxes at 0.1° resolution to provide high-resolution forward simulation and inverse modelling of surface fluxes accounting for signals from emission hot spots.
Teresa Jorge, Simone Brunamonti, Yann Poltera, Frank G. Wienhold, Bei P. Luo, Peter Oelsner, Sreeharsha Hanumanthu, Bhupendra B. Singh, Susanne Körner, Ruud Dirksen, Manish Naja, Suvarna Fadnavis, and Thomas Peter
Atmos. Meas. Tech., 14, 239–268, https://doi.org/10.5194/amt-14-239-2021, https://doi.org/10.5194/amt-14-239-2021, 2021
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Balloon-borne frost point hygrometers are crucial for the monitoring of water vapour in the upper troposphere and lower stratosphere. We found that when traversing a mixed-phase cloud with big supercooled droplets, the intake tube of the instrument collects on its inner surface a high percentage of these droplets. The newly formed ice layer will sublimate at higher levels and contaminate the measurement. The balloon is also a source of contamination, but only at higher levels during the ascent.
Sreeharsha Hanumanthu, Bärbel Vogel, Rolf Müller, Simone Brunamonti, Suvarna Fadnavis, Dan Li, Peter Ölsner, Manish Naja, Bhupendra Bahadur Singh, Kunchala Ravi Kumar, Sunil Sonbawne, Hannu Jauhiainen, Holger Vömel, Beiping Luo, Teresa Jorge, Frank G. Wienhold, Ruud Dirkson, and Thomas Peter
Atmos. Chem. Phys., 20, 14273–14302, https://doi.org/10.5194/acp-20-14273-2020, https://doi.org/10.5194/acp-20-14273-2020, 2020
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During boreal summer, anthropogenic sources yield the Asian Tropopause Aerosol Layer (ATAL), found in Asia between about 13 and 18 km altitude. Balloon-borne measurements of the ATAL conducted in northern India in 2016 show the strong variability of the ATAL. To explain its observed variability, model simulations are performed to deduce the origin of air masses on the Earth's surface, which is important to develop recommendations for regulations of anthropogenic surface emissions of the ATAL.
Cited articles
Akagi, S. K., Yokelson, R. J., Wiedinmyer, C., Alvarado, M. J., Reid, J. S., Karl, T., Crounse, J. D., and Wennberg, P. O.: Emission factors for open and domestic biomass burning for use in atmospheric models, Atmos. Chem. Phys., 11, 4039–4072, https://doi.org/10.5194/acp-11-4039-2011, 2011.
Akiyama, H., Yagi, K., and Yan, X.: Direct N2O emissions from rice
paddy fields: summary of available data, Glob. Biogeochem. Cycles, 19, 1–10, 2005.
Ali, M. A., Farouque, M. G., Haque, M., and Ul Kabir, A.: Influence of soil
amendments on mitigating methane emissions and sustaining rice productivity
in paddy soil ecosystems of Bangladesh, J. Environ. Sci. Nat. Resour., 5,
179–185, 2012.
Andreae, M. O. and Merlet, P.: Emission of trace gases and aerosols from
biomass burning, Global Biogeochem. Cycles, 15, 955–966, 2001.
Arino, O., Perez, R. J., Julio, J., Kalogirou, V., Bontemps S., Defourny, P., and Van Bogaert, E.: Global land cover map for 2009, GlobCover 2009,
European Space Agency (ESA) & Université catholique de Louvain (UCL), available at: http://www.esa-landcover-cci.org (last access: 6 April 2021), 2012.
Ashok, K., Guan, Z., Saji, N. H., and Yamagata, T.: Individual and combined
influences of ENSO and the Indian Ocean dipole on the Indian summer
monsoon, J. Clim., 17, 3141–3155, 2004.
Asoka, A., Gleeson, T., Wada, Y., and Mishra, V.: Relative contribution of
monsoon precipitation and pumping to changes in groundwater storage in
India, Nat. Geosci., 10, 109–117, 2017.
Begum, K., Kuhnert, M., Yeluripati, J. B., Ogle, S. M., Parton, W. J.,
Williams, S. A., Pan, G., Cheng, K., Ali, M. A., and Smith, P.: Modelling
greenhouse gas emissions and mitigation potentials in fertilized paddy rice
fields in Bangladesh, Geoderma, 341, 206–215, 2019.
Bhatia, A., Ghosh, A., Kumar, V., Tomer, R., Singh, S. D., and Pathak, H.:
Effect of elevated tropospheric ozone on methane and nitrous oxide emission
from rice soil in north India, Agric. Ecosyst. Environ., 144, 21–28, 2011.
Bhattacharya, S. K., Borole, D. V., Francey, R. J., Allison, C. E., Steele,
L. P., Krummel, P., Langenfelds, R., Masarie, K. A., Tiwari, Y. K., and
Patra, P. K.: Trace gases and CO2 isotope records from Cabo de Rama,
India, Curr. Sci., 97, 1336–1344, 2009.
Brand, W. A., Assonov, S. S., and Coplen, T. B.: Correction for the 17O
interference in δ(13C) measurements when analyzing CO2
with stable isotope mass spectrometry (IUPAC Technical Report), Pure Appl. Chem., 82, 1719–1733, 2010.
Breitenbach, S. F. M., Adkins, J. F., Meyer, H., Marwan, N., Kumar, K. K.,
and Haug, G. H.: Strong influence of water vapor source dynamics on stable
isotopes in precipitation observed in Southern Meghalaya, NE India, Earth
Planet. Sci. Lett., 292, 212–220, 2010.
Chandra, N., Lal, S., Venkataramani, S., Patra, P. K., and Sheel, V.: Temporal variations of atmospheric CO2 and CO at Ahmedabad in western India, Atmos. Chem. Phys., 16, 6153–6173, https://doi.org/10.5194/acp-16-6153-2016, 2016.
Department of Agriculture & Cooperation, Ministry of Agriculture (DAC/MA): Agricultural Statistics at a Glance 2014, Directorate of Economics and Statistics, Department of Agriculture and Cooperation (DAC), Ministry of Agriculture (MA), Government of India, OUP, New Delhi, India, ISBN 0-19-945965-7, available at: https://eands.dacnet.nic.in/PDF/Agricultural-Statistics-At-Glance2014.pdf (last access: 25 May 2019), 2015.
Directorate of Economics and Statistics, Ministry of Agriculture and Farmers Welfare (DES/MAFW): Crop Production Statistics for Selected States, Crops and Range
of Year, available at:
https://aps.dac.gov.in/APY/Public_ Report1.aspx, last access: 31 July 2019.
Dickerson, R. R., Andreae, M. O., Campos, T., Mayol-Bracero, O. L.,
Neusuess, C., and Streets, D. G.: Analysis of black carbon and carbon
monoxide observed over the Indian Ocean: Implications for emissions and
photochemistry, J. Geophys. Res.-Atmos., 107, 8017, https://doi.org/10.1029/2001JD000501, 2002.
EC-JRC/PBL: EDGAR v4.3.2 (1970–2012) on March 2016, Emissions Database
for Global Atmospheric Research (EDGAR), European Commission, Joint Research
Centre (EC-JRC), Netherlands Environmental Assessment Agency (PBL), available at: http://edgar.jrc.ec.europa.eu (last access: 1 September 2021), 2016.
Gaihre, Y. K., Singh, U., Islam, S. M., Huda, A., Islam, M. R., Sanabria,
J., Satter, M. A., Islam, M. R., Biswas, J. C., Jahiruddin, M., and Jahan,
M. S.: Nitrous oxide and nitric oxide emissions and nitrogen use efficiency
as affected by nitrogen placement in lowland rice fields, Nutr. Cycl. Agroecosystems, 110, 277–291, 2018.
Ganesan, A. L., Chatterjee, A., Prinn, R. G., Harth, C. M., Salameh, P. K., Manning, A. J., Hall, B. D., Mühle, J., Meredith, L. K., Weiss, R. F., O'Doherty, S., and Young, D.: The variability of methane, nitrous oxide and sulfur hexafluoride in Northeast India, Atmos. Chem. Phys., 13, 10633–10644, https://doi.org/10.5194/acp-13-10633-2013, 2013.
Garg, A., Kankal, B., and Shukla, P. R.: Methane emissions in India:
Sub-regional and sectoral trends, Atmos. Environ., 45,
4922–4929, 2011.
Garg, A., Shukla, P. R., and Upadhyay, J.: N2O emissions of India: an
assessment of temporal, regional and sector trends, Clim. Change, 110,
755-782, https://doi.org/10.1007/s10584-011-0094-9, 2012.
Geller, L. S., Elkins, J. W., Lobert, J. M., Clarke, A. D., Hurst, D. F.,
Butler, J. H., and Myers, R. C.: Tropospheric SF6: observed latitudinal
distribution and trends, derived emissions and interhemispheric exchange
time, Geophys. Res. Lett., 24, 675–678, 1997.
Gupta, D. K., Bhatia, A., Kumar, A., Das, T. K., Jain, N., Tomer, R.,
Sandeep, k. M., Fagodiya, R. K., Dubey, R., and Pathak, H.: Mitigation of
greenhouse gas emission from rice–wheat system of the Indo-Gangetic Plain:
Through tillage, irrigation and fertilizer management, Agric. Ecosyst. Environ., 230, 1–9, 2016.
Guttikunda, S., Begum, B., and Wadud, Z.: Particulate pollution from brick kiln clusters in the Greater Dhaka region, Bangladesh, Air Qual. Atmos. Health, 6, 357–365, https://doi.org/10.1007/s11869-012-0187-2, 2013.
Hong, C. C., Li, T., and Kug, J. S.: Asymmetry of the Indian Ocean dipole.
Part I: observational analysis, J. Clim., 21, 4834–4848, 2008.
International Atomic Energy Agency (IAEA): Reference and comparison materials for light isotopes of light elements, Proceedings of a consultants meeting held in Vienna, IAEA-TECDOC-825, 159, available at: https://www-pub.iaea.org/MTCD/Publications/PDF/te_825_prn.pdf (last access: 4 October 2020), 1993.
Keeling, C. D.: Rewards and penalties of monitoring the Earth, Annu. Rev. Energ. Environ., 23, 25–82, 1998.
Kim, S., Coplen, T. B., and Horita, J.: Normalization of stable isotope data for
carbonate minerals: Implementation of IUPAC guidelines, Geochim. Cosmochim. Acta, 158, 276–289, 2015.
Kumar, A., Sanyal, P., and Agrawal, S.: Spatial distribution of δ18O values of water in the Ganga river basin: Insight into the
hydrological processes, J. Hydrol., 571, 225–234, 2019.
Kumar, R., Naja, M., Satheesh, S. K., Ojha, N., Joshi, H., Sarangi, T., Pant, P., Dumka, U. C. Hegde, P., and Venkataramani, S.: Influences of the springtime northern Indian biomass burning over the central Himalayas, J. Geophys. Res.-Atmos., 116, D19302, https://doi.org/10.1029/2010JD015509, 2011.
Kumar, R., Naja, M., Pfister, G. G., Barth, M. C., and Brasseur, G. P.:
Source attribution of carbon monoxide in India and surrounding regions
during wintertime, J. Geophys. Res.-Atmos., 118,
1981–1995, 2013.
Lawrence, M. G. and Lelieveld, J.: Atmospheric pollutant outflow from southern Asia: a review, Atmos. Chem. Phys., 10, 11017–11096, https://doi.org/10.5194/acp-10-11017-2010, 2010.
Lin, X., Indira, N. K., Ramonet, M., Delmotte, M., Ciais, P., Bhatt, B. C., Reddy, M. V., Angchuk, D., Balakrishnan, S., Jorphail, S., Dorjai, T., Mahey, T. T., Patnaik, S., Begum, M., Brenninkmeijer, C., Durairaj, S., Kirubagaran, R., Schmidt, M., Swathi, P. S., Vinithkumar, N. V., Yver Kwok, C., and Gaur, V. K.: Long-lived atmospheric trace gases measurements in flask samples from three stations in India, Atmos. Chem. Phys., 15, 9819–9849, https://doi.org/10.5194/acp-15-9819-2015, 2015.
Lohan, S. K., Jat, H. S., Yadav, A. K., Sidhu, H. S., Jat, M. L., Choudhary,
M., Peter, J. D., and Sharma, P. C.: Burning issues of paddy residue
management in north-west states of India, Renew. Sust. Energ., 81, 693–706, 2018.
Machida, T., Matsueda, H., Sawa, Y., Nakagawa, Y., Hirotani, K., Kondo, N.,
Goto, K., Nakazawa, T., Ishikawa, K., and Ogawa T.: Worldwide Measurements of
Atmospheric CO2 and Other Trace Gas Species Using Commercial Airlines,
J. Atmos. Ocean. Technol., 25, 1744–1754, https://doi.org/10.1175/2008JTECHA1082.1,
2008.
Maithel, S., Uma, R., Bond, T., Baum, E., and Thao, V. T. K.: Brick kilns
performance assessment, emissions measurements, and a roadmap for cleaner
brick production in India, Study report prepared by Green Knowledge
Solutions, New Delhi, 2012.
Mukai H.: NIES pure CO2 sample for inter-laboratory comparison of C and O isotope ratio analysis especially for atmospheric CO2, proceeding of the 11th WMO/IAEA Meeting of Experts on Carbon Dioxide Concentration and Related Tracer Measurement Techniques, 148, 31, available at: https://library.wmo.int/doc_num.php?explnum_id=9221 (last access: 16 September 2020), 2001.
Mukai, H.: Inter–Comparison Of Isotope Ratios For CO2 Using Several Reference Materials, proceeding of the 12th WMO/IAEA Meeting of Experts on Carbon Dioxide Concentration and Related Tracers Measurement Techniques, 162, 58–63, available at: https://library.wmo.int/doc_num.php?explnum_id=9298 (last access: 16 September 2020), 2003.
Naja, M., Bhardwaj, P., Singh, N., Kumar, P., Kumar, R., Ojha, N., Sagar, R., Satheesh, S. K., Moorthy, K. K., and Kotamarthi, V. R.: High-frequency vertical profiling of meteorological
parameters using AMF1 facility during RAWEX–GVAX at ARIES, Nainital, Curr. Sci., 111, 132–140, 2016.
NOAA/ESRL: The 6th WMO/IAEA Round Robin Comparison Experiment, available at:
http://www.esrl.noaa.gov/gmd/ccgg/wmorr/wmorr_results.php?rr=rr6¶m=co2&group=group5, last access: 15 May 2019a.
NOAA/ESRL: ESRL/GMD FTP Data Finder, available at: https://www.esrl.noaa.gov/gmd/dv/data/, last access: 15 May 2019b.
NOAA/ESRL: Dipole Mode Index, available at:
https://www.esrl.noaa.gov/psd/gcos_wgsp/Timeseries/DMI/,
last access: 6 April 2021a.
NOAA/ESRL: Multivariate ENSO Index, available at: https://www.esrl.noaa.gov/psd/enso/mei/,
last access: 6 April 2021b.
Nomura, S., Naja, M., Ahmed, M. K., Mukai, H., Terao, Y., Machida, T., Sasakawa, M., and Patra, P. K.: GHGs mole fraction and carbon isotopic ratio at Nainital, India and Comilla, Bangladesh, available at: https://db.cger.nies.go.jp/portal/geds/atmosphericAndOceanicMonitoring?lang=eng, last access: 1 September 2021.
Novelli, P. C., Lang, P. M., Masarie, K. A., Hurst, D. F., Myers, R., and
Elkins, J. W.: Molecular hydrogen in the troposphere: Global distribution
and budget, J. Geophys. Res.-Atmos., 104, 30427–30444, 1999.
Olivier, J. G. J., Van Aardenne, J. A., Dentener, F., Ganzeveld, L., and
Peters J. A. H. W.: Recent trends in global greenhouse gas emissions:
regional trends and spatial distribution of key sources, in: Non-CO2
Greenhouse Gases (NCGG-4), edited by: Van Amstel, A., 325–330, Millpress,
Rotterdam, The Netherlands, 2005.
Pandey, A. K., Mishra, A. K., Kumar, R., Berwal, S., Devadas, R., Huete, A.,
and Kumar, K.: CO variability and its association with household cooking
fuels consumption over the Indo-Gangetic Plain, Environ. Pollut., 222, 83–93, 2017.
Patra, P. K., Canadell, J. G., Houghton, R. A., Piao, S. L., Oh, N. H.,
Ciais, P., Manjunath, K. R., Chhabra, A., Wang, T., Bhattacharya, T.,
Bousquet, P., Hartman, J., Ito, A., Mayorga, E., Niwa, Y., Raymond, P. A.,
Sarma, V. V. S. S., and Lasco, R..: The carbon budget of South
Asia, Biogeosciences, 10, 513–527, 2013.
Price, H., Jaegle, L., Rice, A., Quay, P., Novelli, P. C., and Gammon, R.:
Global budget of molecular hydrogen and its deuterium content: Constraints
from ground station, cruise, and aircraft observations, J. Geophys. Res.-Atmos., 112, D22108, https://doi.org/10.1029/2006JD008152, 2007.
Raut, N., Sitaula, B. K., and Bajracharya, R. M.: Agricultural
intensification in South Asia and its contribution to greenhouse gas
emission: A review, Asian Jornal of water, Environ. Pollut., 8,
11–17, 2011.
Roxy, M. K., Ritika, K., Terray, P., Murtugudde, R., Ashok, K., and Goswami,
B. N.: Drying of Indian subcontinent by rapid Indian Ocean warming and a
weakening land-sea thermal gradient, Nat. Commun., 6, 7423, 2015.
Rozanski, K., Araguás-Araguás, L., and Gonfiantini, R.: Isotopic patterns in modern global precipitation, in: Climate Change in Continental Isotopic Records, Geophys. Monogr. Ser., edited by: Swart, P. K., Lohmann, K. C., Mckenzie, J., and Savin, S., 78, 1–36, AGU, Washington, D. C., USA, https://doi.org/10.1029/GM078p0001, 1993.
Sahai, S., Sharma, C., Singh, D. P., Dixit, C. K., Singh, N., Sharma, P.,
Singh, K., Bhatt, S., Ghude, S., Gupta, V., Gupta, R. K., Tiwari, M. K.,
Garg, S. C., Mitra, A. P., and Gupta, R. K.: A study for development of
emission factors for trace gases and carbonaceous particulate species from
in situ burning of wheat straw in agricultural fields in India, Atmos.
Environ., 41, 9173–9186, 2007.
Sahai, S., Sharma, C., Singh, S. K., and Gupta, P. K.: Assessment of trace gases, carbon and nitrogen emissions from field burning of agricultural residues in India, Nutr. Cycl. Agroecosystems, 89, 143–157, https://doi.org/10.1007/s10705-010-9384-2, 2011.
Saji, N. H., Goswami, B. N., Vinayachandran, P. N., and Yamagata, T.: A dipole mode in the tropical Indian Ocean, Nature, 401, 360–363, https://doi.org/10.1038/43854, 1999.
Sengupta, S. and Sarkar, A.: Stable isotope evidence of dual (Arabian Sea
and Bay of Bengal) vapour sources in monsoonal precipitation over north
India, Earth Planet. Sci. Lett., 250, 511–521, 2006.
Sfez, S., De Meester, S., and Dewulf, J.: Co-digestion of rice straw and cow
dung to supply cooking fuel and fertilizers in rural India: Impact on human
health, resource flows and climate change, Sci. Total Environ., 609, 1600–1615, 2017.
Sharma, N., Nayak, R. K., Dadhwal, V. K., Kant, Y., and Ali, M. M.: Temporal
variations of atmospheric CO2 in Dehradun, India during 2009, Air Soil
Water Res., 6, 37–45, 2013.
SID/MP.: Statistical Year Book Bangladesh 2018, Statistics and Informatics Division (SID), Ministry of Planning (MP), Government of the people’s republic of Bangladesh, Dhaka, Bangladesh, 1–599, 2018.
Sreenivas, G., Mahesh, P., Subin, J., Kanchana, A. L., Rao, P. V. N., and Dadhwal, V. K.: Influence of Meteorology and interrelationship with greenhouse gases (CO2 and CH4) at a suburban site of India, Atmos. Chem. Phys., 16, 3953–3967, https://doi.org/10.5194/acp-16-3953-2016, 2016.
Streets, D. G., Yarber, K. F., Woo, J.-H., and Carmichael, G. R.: Biomass
burning in Asia: Annual and seasonal estimates and atmospheric emissions,
Global Biogeochem. Cy., 17, 1099, https://doi.org/10.1029/2003GB002040, 2003.
Swapna, P., Krishnan, R., and Wallace, J. M.: Indian Ocean and monsoon
coupled interactions in a warming environment, Clim. Dyn., 42,
2439–2454, 2014.
Tanoue, M., Ichiyanagi, K., Yoshimura, K., Kiguchi, M., Terao, T., and Hayashi, T.: Seasonal variation in isotopic composition and the origin of precipitation over Bangladesh, Prog. Earth Planet. Sci., 5, 77, https://doi.org/10.1186/s40645-018-0231-4, 2018.
Thompson, R. L., Ishijima, K., Saikawa, E., Corazza, M., Karstens, U., Patra, P. K., Bergamaschi, P., Chevallier, F., Dlugokencky, E., Prinn, R. G., Weiss, R. F., O'Doherty, S., Fraser, P. J., Steele, L. P., Krummel, P. B., Vermeulen, A., Tohjima, Y., Jordan, A., Haszpra, L., Steinbacher, M., Van der Laan, S., Aalto, T., Meinhardt, F., Popa, M. E., Moncrieff, J., and Bousquet, P.: TransCom N2O model inter-comparison – Part 2: Atmospheric inversion estimates of N2O emissions, Atmos. Chem. Phys., 14, 6177–6194, https://doi.org/10.5194/acp-14-6177-2014, 2014.
Thoning, K. W., Tans, P. P., and Komhyr, W. D.: Atmospheric carbon dioxide at
Mauna Loa Observatory, 2. Analysis of the NOAA GMCC data, 1974–1985, J.
Geophys. Res.-Atmos., 94, 8549–8565, 1989.
Tiwari, Y. K., Vellore, R. K., Ravi Kumar, K., van der Schoot, M., and Cho,
C.-H.: Influence of monsoons on atmospheric CO2 spatial variability and
ground-based monitoring over India, Sci. Total Environ., 490, 570–578,
https://doi.org/10.1016/j.scitotenv.2014.05.045, 2014.
Umezawa, T., Niwa, Y., Sawa, Y., Machida, T., and Matsueda, H.: Winter crop CO2 uptake inferred from CONTRAIL measurements over Delhi, India, Geophys. Res. Lett., 43, 11859–11866, https://doi.org/10.1002/2016GL070939, 2016.
Venkataraman, C., Habib, G., Kadamba, D., Shrivastava, M., Leon, J. F., Crouzille, B., Boucher, O., and Streets, D. G.: Emissions from open biomass burning in India: Integrating the inventory approach with high-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) active-fire and land cover data, Glob. Biogeochem. Cycles, 20, GB2013, https://doi.org/10.1029/2005GB002547, 2006.
Venkataraman, C., Sagar, A. D., Habib, G., Lam, N., and Smith, K. R.: The
Indian national initiative for advanced biomass cookstoves: the benefits of
clean combustion, Energy Sustain. Dev., 14, 63–72, 2010.
World Data Centre for Greenhouse Gases (WDCGG): Data search, available at: https://gaw.kishou.go.jp/search/station#CRI,
last access: 2 November 2021.
Yashiro, H., Sudo, K., Yonemura, S., and Takigawa, M.: The impact of soil uptake on the global distribution of molecular hydrogen: chemical transport model simulation, Atmos. Chem. Phys., 11, 6701–6719, https://doi.org/10.5194/acp-11-6701-2011, 2011.
Zeng, J. and Fujinuma, Y.: New web site launched for online air trajectory calculation, EOS, 85, 482–4833, https://doi.org/10.1029/2004EO460004, 2004.
Short summary
Long-term measurements of greenhouse gases (GHGs) in India and Bangladesh unveiled specific characteristics in their variations in these regions. Plants including rice cultivated in winter and summer strongly affected seasonal variations and levels in CO2 and CH4. Long-term variability of GHGs showed quite different features in their growth rates from those in Mauna Loa. GHG trends in this region seemed to be hardly affected by El Niño–Southern Oscillation (ENSO).
Long-term measurements of greenhouse gases (GHGs) in India and Bangladesh unveiled specific...
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