Articles | Volume 16, issue 6
https://doi.org/10.5194/tc-16-2127-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-2127-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Jun 2022
Research article |
| 07 Jun 2022
| 07 Jun 2022
First evidence of microplastics in Antarctic snow
Alex R. Aves
CORRESPONDING AUTHOR
School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand
Gateway Antarctica, School of Earth and Environment, University of Canterbury, Christchurch, New Zealand
Laura E. Revell
School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand
Sally Gaw
School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand
Helena Ruffell
School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand
Alex Schuddeboom
School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand
Ngaire E. Wotherspoon
School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand
Michelle LaRue
Gateway Antarctica, School of Earth and Environment, University of Canterbury, Christchurch, New Zealand
Adrian J. McDonald
School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand
Gateway Antarctica, School of Earth and Environment, University of Canterbury, Christchurch, New Zealand
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Cameron McErlich, Felix Goddard, Alex Aves, Catherine Hardacre, Nikolaos Evangeliou, and Laura E. Revell
EGUsphere, https://doi.org/10.5194/egusphere-2025-1575, https://doi.org/10.5194/egusphere-2025-1575, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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Airborne microplastics are a new air pollutant but are not yet included in most global models. We add them to the UK Earth System Model to show how they move, change, and are removed from air. Smaller microplastics persist for longer and can travel further, even to Antarctica. While their current role in air pollution is small, their presence is expected to grow in future. This work offers a framework to assess future impacts of microplastics on air quality and climate.
Luke Edgar Whitehead, Adrian James McDonald, and Adrien Guyot
Atmos. Meas. Tech., 17, 5765–5784, https://doi.org/10.5194/amt-17-5765-2024, https://doi.org/10.5194/amt-17-5765-2024, 2024
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Supercooled liquid water cloud is important to represent in weather and climate models, particularly in the Southern Hemisphere. Previous work has developed a new machine learning method for measuring supercooled liquid water in Antarctic clouds using simple lidar observations. We evaluate this technique using a lidar dataset from Christchurch, New Zealand, and develop an updated algorithm for accurate supercooled liquid water detection at mid-latitudes.
Dongqi Lin, Jiawei Zhang, Basit Khan, Marwan Katurji, and Laura E. Revell
Geosci. Model Dev., 17, 815–845, https://doi.org/10.5194/gmd-17-815-2024, https://doi.org/10.5194/gmd-17-815-2024, 2024
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GEO4PALM is an open-source tool to generate static input for the Parallelized Large-Eddy Simulation (PALM) model system. Geospatial static input is essential for realistic PALM simulations. However, existing tools fail to generate PALM's geospatial static input for most regions. GEO4PALM is compatible with diverse geospatial data sources and provides access to free data sets. In addition, this paper presents two application examples, which show successful PALM simulations using GEO4PALM.
Yusuf A. Bhatti, Laura E. Revell, Alex J. Schuddeboom, Adrian J. McDonald, Alex T. Archibald, Jonny Williams, Abhijith U. Venugopal, Catherine Hardacre, and Erik Behrens
Atmos. Chem. Phys., 23, 15181–15196, https://doi.org/10.5194/acp-23-15181-2023, https://doi.org/10.5194/acp-23-15181-2023, 2023
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Aerosols are a large source of uncertainty over the Southern Ocean. A dominant source of sulfate aerosol in this region is dimethyl sulfide (DMS), which is poorly simulated by climate models. We show the sensitivity of simulated atmospheric DMS to the choice of oceanic DMS data set and emission scheme. We show that oceanic DMS has twice the influence on atmospheric DMS than the emission scheme. Simulating DMS more accurately in climate models will help to constrain aerosol uncertainty.
Ben A. Cala, Scott Archer-Nicholls, James Weber, N. Luke Abraham, Paul T. Griffiths, Lorrie Jacob, Y. Matthew Shin, Laura E. Revell, Matthew Woodhouse, and Alexander T. Archibald
Atmos. Chem. Phys., 23, 14735–14760, https://doi.org/10.5194/acp-23-14735-2023, https://doi.org/10.5194/acp-23-14735-2023, 2023
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Dimethyl sulfide (DMS) is an important trace gas emitted from the ocean recognised as setting the sulfate aerosol background, but its oxidation is complex. As a result representation in chemistry-climate models is greatly simplified. We develop and compare a new mechanism to existing mechanisms via a series of global and box model experiments. Our studies show our updated DMS scheme is a significant improvement but significant variance exists between mechanisms.
Zhangcheng Pei, Sonya L. Fiddes, W. John R. French, Simon P. Alexander, Marc D. Mallet, Peter Kuma, and Adrian McDonald
Atmos. Chem. Phys., 23, 14691–14714, https://doi.org/10.5194/acp-23-14691-2023, https://doi.org/10.5194/acp-23-14691-2023, 2023
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In this paper, we use ground-based observations to evaluate a climate model and a satellite product in simulating surface radiation and investigate how radiation biases are influenced by cloud properties over the Southern Ocean. We find that significant radiation biases exist in both the model and satellite. The cloud fraction and cloud occurrence play an important role in affecting radiation biases. We suggest further development for the model and satellite using ground-based observations.
Dongqi Lin, Marwan Katurji, Laura E. Revell, Basit Khan, and Andrew Sturman
Atmos. Chem. Phys., 23, 14451–14479, https://doi.org/10.5194/acp-23-14451-2023, https://doi.org/10.5194/acp-23-14451-2023, 2023
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Accurate fog forecasting is difficult in a complex environment. Spatial variations in soil moisture could impact fog. Here, we carried out fog simulations with spatially different soil moisture in complex topography. The soil moisture was calculated using satellite observations. The results show that the spatial variations in soil moisture do not have a significant impact on where fog occurs but do impact how long fog lasts. This finding could improve fog forecasts in the future.
McKenna W. Stanford, Ann M. Fridlind, Israel Silber, Andrew S. Ackerman, Greg Cesana, Johannes Mülmenstädt, Alain Protat, Simon Alexander, and Adrian McDonald
Atmos. Chem. Phys., 23, 9037–9069, https://doi.org/10.5194/acp-23-9037-2023, https://doi.org/10.5194/acp-23-9037-2023, 2023
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Clouds play an important role in the Earth’s climate system as they modulate the amount of radiation that either reaches the surface or is reflected back to space. This study demonstrates an approach to robustly evaluate surface-based observations against a large-scale model. We find that the large-scale model precipitates too infrequently relative to observations, contrary to literature documentation suggesting otherwise based on satellite measurements.
Peter Kuma, Frida A.-M. Bender, Alex Schuddeboom, Adrian J. McDonald, and Øyvind Seland
Atmos. Chem. Phys., 23, 523–549, https://doi.org/10.5194/acp-23-523-2023, https://doi.org/10.5194/acp-23-523-2023, 2023
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We present a machine learning method for determining cloud types in climate model output and satellite observations based on ground observations of cloud genera. We analyse cloud type biases and changes with temperature in climate models and show that the bias is anticorrelated with climate sensitivity. Models simulating decreasing stratiform and increasing cumuliform clouds with increased CO2 concentration tend to have higher climate sensitivity than models simulating the opposite tendencies.
Adrien Guyot, Alain Protat, Simon P. Alexander, Andrew R. Klekociuk, Peter Kuma, and Adrian McDonald
Atmos. Meas. Tech., 15, 3663–3681, https://doi.org/10.5194/amt-15-3663-2022, https://doi.org/10.5194/amt-15-3663-2022, 2022
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Ceilometers are instruments that are widely deployed as part of operational networks. They are usually not able to detect cloud phase. Here, we propose an evaluation of various methods to detect supercooled liquid water with ceilometer observations, using an extensive dataset from Davis, Antarctica. Our results highlight the possibility for ceilometers to detect supercooled liquid water in clouds.
Stefanie Kremser, Mike Harvey, Peter Kuma, Sean Hartery, Alexia Saint-Macary, John McGregor, Alex Schuddeboom, Marc von Hobe, Sinikka T. Lennartz, Alex Geddes, Richard Querel, Adrian McDonald, Maija Peltola, Karine Sellegri, Israel Silber, Cliff S. Law, Connor J. Flynn, Andrew Marriner, Thomas C. J. Hill, Paul J. DeMott, Carson C. Hume, Graeme Plank, Geoffrey Graham, and Simon Parsons
Earth Syst. Sci. Data, 13, 3115–3153, https://doi.org/10.5194/essd-13-3115-2021, https://doi.org/10.5194/essd-13-3115-2021, 2021
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Aerosol–cloud interactions over the Southern Ocean are poorly understood and remain a major source of uncertainty in climate models. This study presents ship-borne measurements, collected during a 6-week voyage into the Southern Ocean in 2018, that are an important supplement to satellite-based measurements. For example, these measurements include data on low-level clouds and aerosol composition in the marine boundary layer, which can be used in climate model evaluation efforts.
Ethan R. Dale, Stefanie Kremser, Jordis S. Tradowsky, Greg E. Bodeker, Leroy J. Bird, Gustavo Olivares, Guy Coulson, Elizabeth Somervell, Woodrow Pattinson, Jonathan Barte, Jan-Niklas Schmidt, Nariefa Abrahim, Adrian J. McDonald, and Peter Kuma
Earth Syst. Sci. Data, 13, 2053–2075, https://doi.org/10.5194/essd-13-2053-2021, https://doi.org/10.5194/essd-13-2053-2021, 2021
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MAPM is a project whose goal is to develop a method to infer particulate matter (PM) emissions maps from PM concentration measurements. In support of MAPM, we conducted a winter field campaign in New Zealand. In addition to two types of instruments measuring PM, an array of other meteorological sensors were deployed, measuring temperature and wind speed as well as probing the vertical structure of the lower atmosphere. In this article, we present the measurements taken during this campaign.
Dongqi Lin, Basit Khan, Marwan Katurji, Leroy Bird, Ricardo Faria, and Laura E. Revell
Geosci. Model Dev., 14, 2503–2524, https://doi.org/10.5194/gmd-14-2503-2021, https://doi.org/10.5194/gmd-14-2503-2021, 2021
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We present an open-source toolbox WRF4PALM, which enables weather dynamics simulation within urban landscapes. WRF4PALM passes meteorological information from the popular Weather Research and Forecasting (WRF) model to the turbulence-resolving PALM model system 6.0. WRF4PALM can potentially extend the use of WRF and PALM with realistic boundary conditions to any part of the world. WRF4PALM will help study air pollution dispersion, wind energy prospecting, and high-impact wind forecasting.
Peter Kuma, Adrian J. McDonald, Olaf Morgenstern, Richard Querel, Israel Silber, and Connor J. Flynn
Geosci. Model Dev., 14, 43–72, https://doi.org/10.5194/gmd-14-43-2021, https://doi.org/10.5194/gmd-14-43-2021, 2021
Peter Kuma, Adrian J. McDonald, Olaf Morgenstern, Simon P. Alexander, John J. Cassano, Sally Garrett, Jamie Halla, Sean Hartery, Mike J. Harvey, Simon Parsons, Graeme Plank, Vidya Varma, and Jonny Williams
Atmos. Chem. Phys., 20, 6607–6630, https://doi.org/10.5194/acp-20-6607-2020, https://doi.org/10.5194/acp-20-6607-2020, 2020
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We evaluate clouds over the Southern Ocean in the climate model HadGEM3 and reanalysis MERRA-2 using ship-based ceilometer and radiosonde observations. We find the models underestimate cloud cover by 18–25 %, with clouds below 2 km dominant in reality but lacking in the models. We find a strong link between clouds, atmospheric stability and sea surface temperature in observations but not in the models, implying that sub-grid processes do not generate enough cloud in response to these conditions.
Julie M. Nicely, Bryan N. Duncan, Thomas F. Hanisco, Glenn M. Wolfe, Ross J. Salawitch, Makoto Deushi, Amund S. Haslerud, Patrick Jöckel, Béatrice Josse, Douglas E. Kinnison, Andrew Klekociuk, Michael E. Manyin, Virginie Marécal, Olaf Morgenstern, Lee T. Murray, Gunnar Myhre, Luke D. Oman, Giovanni Pitari, Andrea Pozzer, Ilaria Quaglia, Laura E. Revell, Eugene Rozanov, Andrea Stenke, Kane Stone, Susan Strahan, Simone Tilmes, Holger Tost, Daniel M. Westervelt, and Guang Zeng
Atmos. Chem. Phys., 20, 1341–1361, https://doi.org/10.5194/acp-20-1341-2020, https://doi.org/10.5194/acp-20-1341-2020, 2020
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Differences in methane lifetime among global models are large and poorly understood. We use a neural network method and simulations from the Chemistry Climate Model Initiative to quantify the factors influencing methane lifetime spread among models and variations over time. UV photolysis, tropospheric ozone, and nitrogen oxides drive large model differences, while the same factors plus specific humidity contribute to a decreasing trend in methane lifetime between 1980 and 2015.
Le Kuai, Kevin W. Bowman, Kazuyuki Miyazaki, Makoto Deushi, Laura Revell, Eugene Rozanov, Fabien Paulot, Sarah Strode, Andrew Conley, Jean-François Lamarque, Patrick Jöckel, David A. Plummer, Luke D. Oman, Helen Worden, Susan Kulawik, David Paynter, Andrea Stenke, and Markus Kunze
Atmos. Chem. Phys., 20, 281–301, https://doi.org/10.5194/acp-20-281-2020, https://doi.org/10.5194/acp-20-281-2020, 2020
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The tropospheric ozone increase from pre-industrial to the present day leads to a radiative forcing. The top-of-atmosphere outgoing fluxes at the ozone band are controlled by ozone, water vapor, and temperature. We demonstrate a method to attribute the models’ flux biases to these key players using satellite-constrained instantaneous radiative kernels. The largest spread between models is found in the tropics, mainly driven by ozone and then water vapor.
Laura E. Revell, Stefanie Kremser, Sean Hartery, Mike Harvey, Jane P. Mulcahy, Jonny Williams, Olaf Morgenstern, Adrian J. McDonald, Vidya Varma, Leroy Bird, and Alex Schuddeboom
Atmos. Chem. Phys., 19, 15447–15466, https://doi.org/10.5194/acp-19-15447-2019, https://doi.org/10.5194/acp-19-15447-2019, 2019
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Aerosols over the Southern Ocean consist primarily of sea salt and sulfate, yet are seasonally biased in our model. We test three sulfate chemistry schemes to investigate DMS oxidation, which forms sulfate aerosol. Simulated cloud droplet number concentrations improve using more complex sulfate chemistry. We also show that a new sea spray aerosol source function, developed from measurements made on a recent Southern Ocean research voyage, improves the model's simulation of aerosol optical depth.
Yuanhong Zhao, Marielle Saunois, Philippe Bousquet, Xin Lin, Antoine Berchet, Michaela I. Hegglin, Josep G. Canadell, Robert B. Jackson, Didier A. Hauglustaine, Sophie Szopa, Ann R. Stavert, Nathan Luke Abraham, Alex T. Archibald, Slimane Bekki, Makoto Deushi, Patrick Jöckel, Béatrice Josse, Douglas Kinnison, Ole Kirner, Virginie Marécal, Fiona M. O'Connor, David A. Plummer, Laura E. Revell, Eugene Rozanov, Andrea Stenke, Sarah Strode, Simone Tilmes, Edward J. Dlugokencky, and Bo Zheng
Atmos. Chem. Phys., 19, 13701–13723, https://doi.org/10.5194/acp-19-13701-2019, https://doi.org/10.5194/acp-19-13701-2019, 2019
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The role of hydroxyl radical changes in methane trends is debated, hindering our understanding of the methane cycle. This study quantifies how uncertainties in the hydroxyl radical may influence methane abundance in the atmosphere based on the inter-model comparison of hydroxyl radical fields and model simulations of CH4 abundance with different hydroxyl radical scenarios during 2000–2016. We show that hydroxyl radical changes could contribute up to 54 % of model-simulated methane biases.
Andreas Chrysanthou, Amanda C. Maycock, Martyn P. Chipperfield, Sandip Dhomse, Hella Garny, Douglas Kinnison, Hideharu Akiyoshi, Makoto Deushi, Rolando R. Garcia, Patrick Jöckel, Oliver Kirner, Giovanni Pitari, David A. Plummer, Laura Revell, Eugene Rozanov, Andrea Stenke, Taichu Y. Tanaka, Daniele Visioni, and Yousuke Yamashita
Atmos. Chem. Phys., 19, 11559–11586, https://doi.org/10.5194/acp-19-11559-2019, https://doi.org/10.5194/acp-19-11559-2019, 2019
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We perform the first multi-model comparison of the impact of nudged meteorology on the stratospheric residual circulation (RC) in chemistry–climate models. Nudging meteorology does not constrain the mean strength of RC compared to free-running simulations, and despite the lack of agreement in the mean circulation, nudging tightly constrains the inter-annual variability in the tropical upward mass flux in the lower stratosphere. In summary, nudging strongly affects the representation of RC.
Kévin Lamy, Thierry Portafaix, Béatrice Josse, Colette Brogniez, Sophie Godin-Beekmann, Hassan Bencherif, Laura Revell, Hideharu Akiyoshi, Slimane Bekki, Michaela I. Hegglin, Patrick Jöckel, Oliver Kirner, Ben Liley, Virginie Marecal, Olaf Morgenstern, Andrea Stenke, Guang Zeng, N. Luke Abraham, Alexander T. Archibald, Neil Butchart, Martyn P. Chipperfield, Glauco Di Genova, Makoto Deushi, Sandip S. Dhomse, Rong-Ming Hu, Douglas Kinnison, Michael Kotkamp, Richard McKenzie, Martine Michou, Fiona M. O'Connor, Luke D. Oman, Giovanni Pitari, David A. Plummer, John A. Pyle, Eugene Rozanov, David Saint-Martin, Kengo Sudo, Taichu Y. Tanaka, Daniele Visioni, and Kohei Yoshida
Atmos. Chem. Phys., 19, 10087–10110, https://doi.org/10.5194/acp-19-10087-2019, https://doi.org/10.5194/acp-19-10087-2019, 2019
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In this study, we simulate the ultraviolet radiation evolution during the 21st century on Earth's surface using the output from several numerical models which participated in the Chemistry-Climate Model Initiative. We present four possible futures which depend on greenhouse gases emissions. The role of ozone-depleting substances, greenhouse gases and aerosols are investigated. Our results emphasize the important role of aerosols for future ultraviolet radiation in the Northern Hemisphere.
Roland Eichinger, Simone Dietmüller, Hella Garny, Petr Šácha, Thomas Birner, Harald Bönisch, Giovanni Pitari, Daniele Visioni, Andrea Stenke, Eugene Rozanov, Laura Revell, David A. Plummer, Patrick Jöckel, Luke Oman, Makoto Deushi, Douglas E. Kinnison, Rolando Garcia, Olaf Morgenstern, Guang Zeng, Kane Adam Stone, and Robyn Schofield
Atmos. Chem. Phys., 19, 921–940, https://doi.org/10.5194/acp-19-921-2019, https://doi.org/10.5194/acp-19-921-2019, 2019
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To shed more light upon the changes in stratospheric circulation in the 21st century, climate projection simulations of 10 state-of-the-art global climate models, spanning from 1960 to 2100, are analyzed. The study shows that in addition to changes in transport, mixing also plays an important role in stratospheric circulation and that the properties of mixing vary over time. Furthermore, the influence of mixing is quantified and a dynamical framework is provided to understand the changes.
Laura E. Revell, Andrea Stenke, Fiona Tummon, Aryeh Feinberg, Eugene Rozanov, Thomas Peter, N. Luke Abraham, Hideharu Akiyoshi, Alexander T. Archibald, Neal Butchart, Makoto Deushi, Patrick Jöckel, Douglas Kinnison, Martine Michou, Olaf Morgenstern, Fiona M. O'Connor, Luke D. Oman, Giovanni Pitari, David A. Plummer, Robyn Schofield, Kane Stone, Simone Tilmes, Daniele Visioni, Yousuke Yamashita, and Guang Zeng
Atmos. Chem. Phys., 18, 16155–16172, https://doi.org/10.5194/acp-18-16155-2018, https://doi.org/10.5194/acp-18-16155-2018, 2018
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Global models such as those participating in the Chemistry-Climate Model Initiative (CCMI) consistently simulate biases in tropospheric ozone compared with observations. We performed an advanced statistical analysis with one of the CCMI models to understand the cause of the bias. We found that emissions of ozone precursor gases are the dominant driver of the bias, implying either that the emissions are too large, or that the way in which the model handles emissions needs to be improved.
Amanda C. Maycock, Katja Matthes, Susann Tegtmeier, Hauke Schmidt, Rémi Thiéblemont, Lon Hood, Hideharu Akiyoshi, Slimane Bekki, Makoto Deushi, Patrick Jöckel, Oliver Kirner, Markus Kunze, Marion Marchand, Daniel R. Marsh, Martine Michou, David Plummer, Laura E. Revell, Eugene Rozanov, Andrea Stenke, Yousuke Yamashita, and Kohei Yoshida
Atmos. Chem. Phys., 18, 11323–11343, https://doi.org/10.5194/acp-18-11323-2018, https://doi.org/10.5194/acp-18-11323-2018, 2018
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The 11-year solar cycle is an important driver of climate variability. Changes in incoming solar ultraviolet radiation affect atmospheric ozone, which in turn influences atmospheric temperatures. Constraining the impact of the solar cycle on ozone is therefore important for understanding climate variability. This study examines the representation of the solar influence on ozone in numerical models used to simulate past and future climate. We highlight important differences among model datasets.
Blanca Ayarzagüena, Lorenzo M. Polvani, Ulrike Langematz, Hideharu Akiyoshi, Slimane Bekki, Neal Butchart, Martin Dameris, Makoto Deushi, Steven C. Hardiman, Patrick Jöckel, Andrew Klekociuk, Marion Marchand, Martine Michou, Olaf Morgenstern, Fiona M. O'Connor, Luke D. Oman, David A. Plummer, Laura Revell, Eugene Rozanov, David Saint-Martin, John Scinocca, Andrea Stenke, Kane Stone, Yousuke Yamashita, Kohei Yoshida, and Guang Zeng
Atmos. Chem. Phys., 18, 11277–11287, https://doi.org/10.5194/acp-18-11277-2018, https://doi.org/10.5194/acp-18-11277-2018, 2018
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Stratospheric sudden warmings (SSWs) are natural major disruptions of the polar stratospheric circulation that also affect surface weather. In the literature there are conflicting claims as to whether SSWs will change in the future. The confusion comes from studies using different models and methods. Here we settle the question by analysing 12 models with a consistent methodology, to show that no robust changes in frequency and other features are expected over the 21st century.
Ben Jolly, Peter Kuma, Adrian McDonald, and Simon Parsons
Atmos. Chem. Phys., 18, 9723–9739, https://doi.org/10.5194/acp-18-9723-2018, https://doi.org/10.5194/acp-18-9723-2018, 2018
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Clouds in the Ross Sea and Ross Ice Shelf regions are examined using a combination of satellite observations from the CloudSat and CALIPSO satellite datasets. We show that previous studies may have included an artefact at high altitudes which under-estimated cloud occurrence. We also find that the meteorological regime is a stronger control of cloud occurrence, cloud type and cloud top than season over this region, though season is a strong control on the phase of cloud.
Timofei Sukhodolov, Jian-Xiong Sheng, Aryeh Feinberg, Bei-Ping Luo, Thomas Peter, Laura Revell, Andrea Stenke, Debra K. Weisenstein, and Eugene Rozanov
Geosci. Model Dev., 11, 2633–2647, https://doi.org/10.5194/gmd-11-2633-2018, https://doi.org/10.5194/gmd-11-2633-2018, 2018
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The Pinatubo eruption in 1991 is the strongest directly observed volcanic event. In a series of experiments, we simulate its influence on the stratospheric aerosol layer using a state-of-the-art aerosol–chemistry–climate model, SOCOL-AERv1.0, and compare our results to observations. We show that SOCOL-AER reproduces the most important atmospheric effects and can therefore be used to study the climate effects of future volcanic eruptions and geoengineering by artificial sulfate aerosol.
Sandip S. Dhomse, Douglas Kinnison, Martyn P. Chipperfield, Ross J. Salawitch, Irene Cionni, Michaela I. Hegglin, N. Luke Abraham, Hideharu Akiyoshi, Alex T. Archibald, Ewa M. Bednarz, Slimane Bekki, Peter Braesicke, Neal Butchart, Martin Dameris, Makoto Deushi, Stacey Frith, Steven C. Hardiman, Birgit Hassler, Larry W. Horowitz, Rong-Ming Hu, Patrick Jöckel, Beatrice Josse, Oliver Kirner, Stefanie Kremser, Ulrike Langematz, Jared Lewis, Marion Marchand, Meiyun Lin, Eva Mancini, Virginie Marécal, Martine Michou, Olaf Morgenstern, Fiona M. O'Connor, Luke Oman, Giovanni Pitari, David A. Plummer, John A. Pyle, Laura E. Revell, Eugene Rozanov, Robyn Schofield, Andrea Stenke, Kane Stone, Kengo Sudo, Simone Tilmes, Daniele Visioni, Yousuke Yamashita, and Guang Zeng
Atmos. Chem. Phys., 18, 8409–8438, https://doi.org/10.5194/acp-18-8409-2018, https://doi.org/10.5194/acp-18-8409-2018, 2018
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We analyse simulations from the Chemistry-Climate Model Initiative (CCMI) to estimate the return dates of the stratospheric ozone layer from depletion by anthropogenic chlorine and bromine. The simulations from 20 models project that global column ozone will return to 1980 values in 2047 (uncertainty range 2042–2052). Return dates in other regions vary depending on factors related to climate change and importance of chlorine and bromine. Column ozone in the tropics may continue to decline.
Clara Orbe, Huang Yang, Darryn W. Waugh, Guang Zeng, Olaf Morgenstern, Douglas E. Kinnison, Jean-Francois Lamarque, Simone Tilmes, David A. Plummer, John F. Scinocca, Beatrice Josse, Virginie Marecal, Patrick Jöckel, Luke D. Oman, Susan E. Strahan, Makoto Deushi, Taichu Y. Tanaka, Kohei Yoshida, Hideharu Akiyoshi, Yousuke Yamashita, Andreas Stenke, Laura Revell, Timofei Sukhodolov, Eugene Rozanov, Giovanni Pitari, Daniele Visioni, Kane A. Stone, Robyn Schofield, and Antara Banerjee
Atmos. Chem. Phys., 18, 7217–7235, https://doi.org/10.5194/acp-18-7217-2018, https://doi.org/10.5194/acp-18-7217-2018, 2018
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In this study we compare a few atmospheric transport properties among several numerical models that are used to study the influence of atmospheric chemistry on climate. We show that there are large differences among models in terms of the timescales that connect the Northern Hemisphere midlatitudes, where greenhouse gases and ozone-depleting substances are emitted, to the Southern Hemisphere. Our results may have important implications for how models represent atmospheric composition.
Simone Dietmüller, Roland Eichinger, Hella Garny, Thomas Birner, Harald Boenisch, Giovanni Pitari, Eva Mancini, Daniele Visioni, Andrea Stenke, Laura Revell, Eugene Rozanov, David A. Plummer, John Scinocca, Patrick Jöckel, Luke Oman, Makoto Deushi, Shibata Kiyotaka, Douglas E. Kinnison, Rolando Garcia, Olaf Morgenstern, Guang Zeng, Kane Adam Stone, and Robyn Schofield
Atmos. Chem. Phys., 18, 6699–6720, https://doi.org/10.5194/acp-18-6699-2018, https://doi.org/10.5194/acp-18-6699-2018, 2018
Olaf Morgenstern, Kane A. Stone, Robyn Schofield, Hideharu Akiyoshi, Yousuke Yamashita, Douglas E. Kinnison, Rolando R. Garcia, Kengo Sudo, David A. Plummer, John Scinocca, Luke D. Oman, Michael E. Manyin, Guang Zeng, Eugene Rozanov, Andrea Stenke, Laura E. Revell, Giovanni Pitari, Eva Mancini, Glauco Di Genova, Daniele Visioni, Sandip S. Dhomse, and Martyn P. Chipperfield
Atmos. Chem. Phys., 18, 1091–1114, https://doi.org/10.5194/acp-18-1091-2018, https://doi.org/10.5194/acp-18-1091-2018, 2018
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We assess how ozone as simulated by a group of chemistry–climate models responds to variations in man-made climate gases and ozone-depleting substances. We find some agreement, particularly in the middle and upper stratosphere, but also considerable disagreement elsewhere. Such disagreement affects the reliability of future ozone projections based on these models, and also constitutes a source of uncertainty in climate projections using prescribed ozone derived from these simulations.
Fraser Dennison, Adrian McDonald, and Olaf Morgenstern
Atmos. Chem. Phys., 17, 14075–14084, https://doi.org/10.5194/acp-17-14075-2017, https://doi.org/10.5194/acp-17-14075-2017, 2017
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The Antarctic ozone is not centred directly over the pole. In this research we examine how the position and shape of the ozone hole changes using a chemistry–climate model. As ozone becomes increasingly depleted during the late 20th century the centre of the ozone hole moves toward the west and becomes more circular. As the ozone hole recovers over the course of the 21st century the ozone hole moves back towards the east.
Laura E. Revell, Andrea Stenke, Beiping Luo, Stefanie Kremser, Eugene Rozanov, Timofei Sukhodolov, and Thomas Peter
Atmos. Chem. Phys., 17, 13139–13150, https://doi.org/10.5194/acp-17-13139-2017, https://doi.org/10.5194/acp-17-13139-2017, 2017
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Compiling stratospheric aerosol data sets after a major volcanic eruption is difficult as the stratosphere becomes too optically opaque for satellite instruments to measure accurately. We performed ensemble chemistry–climate model simulations with two stratospheric aerosol data sets compiled for two international modelling activities and compared the simulated volcanic aerosol-induced effects from the 1991 Mt Pinatubo eruption on tropical stratospheric temperature and ozone with observations.
Olaf Morgenstern, Michaela I. Hegglin, Eugene Rozanov, Fiona M. O'Connor, N. Luke Abraham, Hideharu Akiyoshi, Alexander T. Archibald, Slimane Bekki, Neal Butchart, Martyn P. Chipperfield, Makoto Deushi, Sandip S. Dhomse, Rolando R. Garcia, Steven C. Hardiman, Larry W. Horowitz, Patrick Jöckel, Beatrice Josse, Douglas Kinnison, Meiyun Lin, Eva Mancini, Michael E. Manyin, Marion Marchand, Virginie Marécal, Martine Michou, Luke D. Oman, Giovanni Pitari, David A. Plummer, Laura E. Revell, David Saint-Martin, Robyn Schofield, Andrea Stenke, Kane Stone, Kengo Sudo, Taichu Y. Tanaka, Simone Tilmes, Yousuke Yamashita, Kohei Yoshida, and Guang Zeng
Geosci. Model Dev., 10, 639–671, https://doi.org/10.5194/gmd-10-639-2017, https://doi.org/10.5194/gmd-10-639-2017, 2017
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We present a review of the make-up of 20 models participating in the Chemistry–Climate Model Initiative (CCMI). In comparison to earlier such activities, most of these models comprise a whole-atmosphere chemistry, and several of them include an interactive ocean module. This makes them suitable for studying the interactions of tropospheric air quality, stratospheric ozone, and climate. The paper lays the foundation for other studies using the CCMI simulations for scientific analysis.
Ethan R. Dale, Adrian J. McDonald, Jack H. J. Coggins, and Wolfgang Rack
The Cryosphere, 11, 267–280, https://doi.org/10.5194/tc-11-267-2017, https://doi.org/10.5194/tc-11-267-2017, 2017
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This work studies the affects of strong winds on sea ice within the Ross Sea polynya. We compare both automatic weather station (AWS) and reanalysis wind data with sea ice concentration (SIC) measurements based on satellite images. Due to its low resolution, the reanalysis data were unable to reproduce several relationships found between the AWS and SIC data. We find that the strongest third of wind speeds had the most significant affect on SIC and resulting sea ice production.
Leon S. Friedrich, Adrian J. McDonald, Gregory E. Bodeker, Kathy E. Cooper, Jared Lewis, and Alexander J. Paterson
Atmos. Chem. Phys., 17, 855–866, https://doi.org/10.5194/acp-17-855-2017, https://doi.org/10.5194/acp-17-855-2017, 2017
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Information from long-duration balloons flying in the Southern Hemisphere stratosphere during 2014 as part of X Project Loon are used to assess the quality of a number of different reanalyses. This work assesses the potential of the X Project Loon observations to validate outputs from the reanalysis models. In particular, we examined how the model winds compared with those derived from the balloon GPS information. We also examined simulated trajectories compared with the true trajectories.
William T. Ball, Aleš Kuchař, Eugene V. Rozanov, Johannes Staehelin, Fiona Tummon, Anne K. Smith, Timofei Sukhodolov, Andrea Stenke, Laura Revell, Ancelin Coulon, Werner Schmutz, and Thomas Peter
Atmos. Chem. Phys., 16, 15485–15500, https://doi.org/10.5194/acp-16-15485-2016, https://doi.org/10.5194/acp-16-15485-2016, 2016
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We find monthly, mid-latitude temperature changes above 40 km are related to ozone and temperature variations throughout the middle atmosphere. We develop an index to represent this atmospheric variability. In statistical analysis, the index can account for up to 60 % of variability in tropical temperature and ozone above 27 km. The uncertainties can be reduced by up to 35 % and 20 % in temperature and ozone, respectively. This index is an important tool to quantify current and future ozone recovery.
Laura E. Revell, Andrea Stenke, Eugene Rozanov, William Ball, Stefan Lossow, and Thomas Peter
Atmos. Chem. Phys., 16, 13067–13080, https://doi.org/10.5194/acp-16-13067-2016, https://doi.org/10.5194/acp-16-13067-2016, 2016
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Water vapour in the stratosphere plays an important role in atmospheric chemistry and the Earth's radiative balance. We have analysed trends in stratospheric water vapour through the 21st century as simulated by a coupled chemistry–climate model following a range of greenhouse gas emission scenarios. We have also quantified the contribution that methane oxidation in the stratosphere makes to projected water vapour trends.
L. E. Revell, F. Tummon, A. Stenke, T. Sukhodolov, A. Coulon, E. Rozanov, H. Garny, V. Grewe, and T. Peter
Atmos. Chem. Phys., 15, 5887–5902, https://doi.org/10.5194/acp-15-5887-2015, https://doi.org/10.5194/acp-15-5887-2015, 2015
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We have examined the effects of ozone precursor emissions and climate change on the tropospheric ozone budget. Under RCP 6.0, ozone in the future is governed primarily by changes in nitrogen oxides (NOx). Methane is also important, and induces an increase in tropospheric ozone that is approximately one-third of that caused by NOx. This study highlights the critical role that emission policies globally have to play in determining tropospheric ozone evolution through the 21st century.
P. E. Huck, G. E. Bodeker, S. Kremser, A. J. McDonald, M. Rex, and H. Struthers
Atmos. Chem. Phys., 13, 3237–3243, https://doi.org/10.5194/acp-13-3237-2013, https://doi.org/10.5194/acp-13-3237-2013, 2013
Related subject area
Discipline: Other | Subject: Antarctic
Using deep learning and multi-source remote sensing images to map landlocked lakes in Antarctica
Retention time of lakes in the Larsemann Hills oasis, East Antarctica
A pilot study about microplastics and mesoplastics in an Antarctic glacier
Solar radiative transfer in Antarctic blue ice: spectral considerations, subsurface enhancement, inclusions, and meteorites
Antarctic ice shelf thickness change from multimission lidar mapping
Anyao Jiang, Xin Meng, Yan Huang, and Guitao Shi
The Cryosphere, 18, 5347–5364, https://doi.org/10.5194/tc-18-5347-2024, https://doi.org/10.5194/tc-18-5347-2024, 2024
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Landlocked lakes are crucial to the Antarctic ecosystem and sensitive to climate change. Limited research on their distribution prompted us to develop an automated detection process using deep learning and multi-source satellite imagery. This allowed us to accurately determine the landlocked lake open water (LLOW) area in Antarctica, generating high-resolution time series data. We find that the changes in positive and negative degree days predominantly drive variations in the LLOW area.
Elena Shevnina, Ekaterina Kourzeneva, Yury Dvornikov, and Irina Fedorova
The Cryosphere, 15, 2667–2682, https://doi.org/10.5194/tc-15-2667-2021, https://doi.org/10.5194/tc-15-2667-2021, 2021
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Antarctica consists mostly of frozen water, and it makes the continent sensitive to warming due to enhancing a transition/exchange of water from solid (ice and snow) to liquid (lakes and rivers) form. Therefore, it is important to know how fast water is exchanged in the Antarctic lakes. The study gives first estimates of scales for water exchange for five lakes located in the Larsemann Hills oasis. Two methods are suggested to evaluate the timescale for the lakes depending on their type.
Miguel González-Pleiter, Gissell Lacerot, Carlos Edo, Juan Pablo Lozoya, Francisco Leganés, Francisca Fernández-Piñas, Roberto Rosal, and Franco Teixeira-de-Mello
The Cryosphere, 15, 2531–2539, https://doi.org/10.5194/tc-15-2531-2021, https://doi.org/10.5194/tc-15-2531-2021, 2021
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Plastics have been found in several compartments in Antarctica. However, there is currently no evidence of their presence on Antarctic glaciers. Our pilot study is the first report of plastic pollution presence on an Antarctic glacier.
Andrew R. D. Smedley, Geoffrey W. Evatt, Amy Mallinson, and Eleanor Harvey
The Cryosphere, 14, 789–809, https://doi.org/10.5194/tc-14-789-2020, https://doi.org/10.5194/tc-14-789-2020, 2020
Tyler C. Sutterley, Thorsten Markus, Thomas A. Neumann, Michiel van den Broeke, J. Melchior van Wessem, and Stefan R. M. Ligtenberg
The Cryosphere, 13, 1801–1817, https://doi.org/10.5194/tc-13-1801-2019, https://doi.org/10.5194/tc-13-1801-2019, 2019
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Most of the Antarctic ice sheet is fringed by ice shelves, floating extensions of ice that help to modulate the flow of the glaciers that float into them. We use airborne laser altimetry data to measure changes in ice thickness of ice shelves around West Antarctica and the Antarctic Peninsula. Each of our target ice shelves is susceptible to short-term changes in ice thickness. The method developed here provides a framework for processing NASA ICESat-2 data over ice shelves.
Cited articles
Absher, T. M., Ferreira, S. L., Kern, Y., Ferreira, A. L., Christo, S. W., and
Ando, R. A.: Incidence and identification of microfibers in ocean waters in
Admiralty Bay, Antarctica, Environ. Sci. Pollut.
Res., 26, 292–298, 2019. a
Acharya, S., Rumi, S. S., Hu, Y., and Abidi, N.: Microfibers from synthetic
textiles as a major source of microplastics in the environment: A review,
Text. Res. J., 91, 2136–2156, 2021. a
Allen, S., Allen, D., Phoenix, V. R., Roux, G. L., Jiménez, P. D.,
Simonneau, A., Binet, S., and Galop, D.: Atmospheric transport and deposition
of microplastics in a remote mountain catchment, Nat. Geosci., 12,
339–344, https://doi.org/10.1038/s41561-019-0335-5, 2019. a, b, c
Allen, S., Allen, D., Moss, K., Le Roux, G., Phoenix, V. R., and Sonke, J. E.:
Examination of the ocean as a source for atmospheric microplastics, PloS one,
15, e0232746, https://doi.org/10.1371/journal.pone.02327, 2020. a, b
Aronson, R. B., Thatje, S., McClintock, J. B., and Hughes, K. A.: Anthropogenic
impacts on marine ecosystems in Antarctica, Ann. NY Acad.
Sci., 1223, 82–107, 2011. a
Barnes, D. K., Walters, A., and Gonçalves, L.: Macroplastics at sea
around Antarctica, Mar. Environ. Res., 70, 250–252, 2010. a
Bergami, E., Rota, E., Caruso, T., Birarda, G., Vaccari, L., and Corsi, I.:
Plastics everywhere: first evidence of polystyrene fragments inside the
common Antarctic collembolan Cryptopygus antarcticus, Biol. Lett., 16,
20200093, https://doi.org/10.1098/rsbl.2020.0093, 2020. a
Brahney, J., Hallerud, M., Heim, E., Hahnenberger, M., and Sukumaran, S.:
Plastic rain in protected areas of the United States, Science, 368,
1257–1260, https://doi.org/10.1126/science.aaz5819, 2020. a, b
Brander, S. M., Renick, V. C., Foley, M. M., Steele, C., Woo, M., Lusher, A., Carr, S., Helm, P., Box, C., and Cherniak, S.: Sampling and quality
assurance and quality control: a guide for scientists investigating the
occurrence of microplastics across matrices, Appl. Spectrosc., 74,
1099–1125, 2020. a
Brett, G., Irvin, A., Rack, W., Haas, C., Langhorne, P., and Leonard, G.:
Variability in the distribution of fast ice and the sub-ice platelet layer
near McMurdo Ice Shelf, J. Geophys. Res.-Ocean., 125,
e2019JC015678, https://doi.org/10.1029/2019JC015678, 2020. a
Bridson, J. H., Patel, M., Lewis, A., Gaw, S., and Parker, K.: Microplastic
contamination in Auckland (New Zealand) beach sediments, Mar.
Pollut. Bull., 151, 110867, https://doi.org/10.1016/j.marpolbul.2019.110867, 2020. a
Browne, M. A., Crump, P., Niven, S. J., Teuten, E., Tonkin, A., Galloway, T.,
and Thompson, R.: Accumulation of microplastic on shorelines worldwide:
sources and sinks, Environ. Sci. Technol., 45, 9175–9179, 2011. a
Bullard, J. E., Ockelford, A., O'Brien, P., and Neuman, C. M.: Preferential
transport of microplastics by wind, Atmos. Environ., 245, 118038, https://doi.org/10.1016/j.atmosenv.2020.118038,
2021. a
Cai, L., Wang, J., Peng, J., Tan, Z., Zhan, Z., Tan, X., and Chen, Q.:
Characteristic of microplastics in the atmospheric fallout from Dongguan
city, China: preliminary research and first evidence, Environ. Sci.
Pollut. Res., 24, 24928–24935,
https://doi.org/10.1007/s11356-017-0116-x, 2017. a
Coggins, J. H., McDonald, A. J., and Jolly, B.: Synoptic climatology of the
Ross Ice Shelf and Ross Sea region of Antarctica: k‐means
clustering and validation, Int. J. Climatol., 34,
2330–2348, 2014. a
Cole, M., Lindeque, P., Fileman, E., Halsband, C., Goodhead, R., Moger, J., and
Galloway, T. S.: Microplastic ingestion by zooplankton, Environ. Sci.
Technol., 47, 6646–6655, 2013. a
COMNAP: Antarctic Station Catalogue, COMNAP,
https://static1.squarespace.com/static/ (last access: 20 March 2022),
2017. a
Convey, P. and Peck, L. S.: Antarctic environmental change and biological
responses, Sci. Adv., 5, eaaz0888, https://doi.org/10.1126/sciadv.aaz0888, 2019. a
Cózar, A., Echevarría, F., González-Gordillo, J. I., Irigoien, X.,
Úbeda, B., Hernández-León, S., Palma, Á. T., Navarro, S.,
García-de Lomas, J., Ruiz, A., Fernández-de Puelles, M. L., and
Duarte, C. M.: Plastic debris in the open ocean, P. Natl.
Acad. Sci. USA, 111, 10239–10244, 2014. a
Croxall, J., Rodwell, S., and Boyd, I.: Entanglement in man‐made debris of
Antarctic fur seals at Bird Island, South Georgia, Mar. Mammal
Sci., 6, 221–233, 1990. a
Dale, E. R., McDonald, A. J., Coggins, J. H. J., and Rack, W.: Atmospheric forcing of sea ice anomalies in the Ross Sea polynya region, The Cryosphere, 11, 267–280, https://doi.org/10.5194/tc-11-267-2017, 2017. a
De Frond, H., Rubinovitz, R., and Rochman, C. M.: µATR-FTIR Spectral
Libraries of Plastic Particles (FLOPP and FLOPP-e) for the Analysis of
Microplastics, Anal. Chem., 93, 15878–15885, 2021. a
de Souza Machado, A. A., Kloas, W., Zarfl, C., Hempel, S., and Rillig, M. C.:
Microplastics as an emerging threat to terrestrial ecosystems, Glob. Change
Biol., 24, 1405–1416, 2018. a
Dris, R., Gasperi, J., Rocher, V., Saad, M., Renault, N., and Tassin, B.:
Microplastic contamination in an urban area: a case study in Greater
Paris, Environ. Chem., 12, 592–599, https://doi.org/10.1071/EN14167, 2015. a
Foley, C. J., Feiner, Z. S., Malinich, T. D., and Höök, T. O.: A
meta-analysis of the effects of exposure to microplastics on fish and aquatic
invertebrates, Sci. Total Environ., 631, 550–559, 2018. a
Fragão, J., Bessa, F., Otero, V., Barbosa, A., Sobral, P., Waluda, C. M.,
Guímaro, H. R., and Xavier, J. C.: Microplastics and other anthropogenic
particles in Antarctica: using penguins as biological samplers, Sci. Total Environ., 788, 147698, https://doi.org/10.1016/j.scitotenv.2021.147698, 2021. a
Fraser, C. I., Morrison, A. K., Hogg, A. M., Macaya, E. C., van Sebille, E.,
Ryan, P. G., Padovan, A., Jack, C., Valdivia, N., and Waters, J. M.:
Antarctica’s ecological isolation will be broken by storm-driven dispersal
and warming, Nat. Clim. Change, 8, 704–708, 2018. a
Ganguly, M. and Ariya, P. A.: Ice Nucleation of Model Nanoplastics and
Microplastics: A Novel Synthetic Protocol and the Influence of Particle
Capping at Diverse Atmospheric Environments, ACS Earth Space Chem.,
3, 1729–1739, 2019. a
Geilfus, N.-X., Munson, K., Sousa, J., Germanov, Y., Bhugaloo, S., Babb, D.,
and Wang, F.: Distribution and impacts of microplastic incorporation within
sea ice, Mar. Pollut. Bull., 145, 463–473, 2019. a
González-Pleiter, M., Edo, C., Velázquez, D., Casero-Chamorro, M. C.,
Leganés, F., Quesada, A., Fernández-Piñas, F., and Rosal, R.:
First detection of microplastics in the freshwater of an Antarctic
Specially Protected Area, Mar. Pollut. Bull., 161, 111811, https://doi.org/10.1016/j.marpolbul.2020.111811,
2020. a
Gordon, A. L.: Antarctic polar front zone, Antarctic Oceanology I, Antarctic
Res. Ser., 15, 205–221, 1971. a
Gröndahl, F., Sidenmark, J., and Thomsen, A.: Survey of waste water
disposal practices at Antarctic research stations, Polar Res., 28,
298–306, 2009. a
Hermabessiere, L., Dehaut, A., Paul-Pont, I., Lacroix, C., Jezequel, R.,
Soudant, P., and Duflos, G.: Occurrence and effects of plastic additives on
marine environments and organisms: A review, Chemosphere, 182, 781–793,
2017. a
Hill, S., Murphy, E., Reid, K., Trathan, P., and Constable, A.: Modelling
Southern Ocean ecosystems: krill, the food-web, and the impacts of
harvesting, Biol. Rev., 81, 581–608, 2006. a
Horton, A. A. and Dixon, S. J.: Microplastics: An introduction to environmental
transport processes, WIRES Water, 5, e1268, https://doi.org/10.1002/wat2.1268, 2018. a
Huiskes, A., Convey, P., and Bergstrom, D.: Trends in Antarctic Terrestrial and Limnetic Ecosystems: Antarctica as a Global Indicator, in: Trends in Antarctic Terrestrial and Limnetic Ecosystems, edited by: Bergstrom, D. M., Convey, P., and Huiskes, A. H. L., Springer, Dordrecht, https://doi.org/10.1007/1-4020-5277-4_1, 2006. a
Jenouvrier, S., Holland, M., Iles, D., Labrousse, S., Landrum, L., Garnier, J.,
Caswell, H., Weimerskirch, H., LaRue, M., and Ji, R.: The Paris Agreement
objectives will likely halt future declines of emperor penguins, Glob.
Change Biol., 26, 1170–1184, 2019. a
Ji, L. N.: Study on preparation process and properties of polyethylene
terephthalate (PET), Appl. Mech. Mater. Trans. Tech. Publ., 312,
406–410, 2013. a
Jolly, B., Kuma, P., McDonald, A., and Parsons, S.: An analysis of the cloud environment over the Ross Sea and Ross Ice Shelf using CloudSat/CALIPSO satellite observations: the importance of synoptic forcing, Atmos. Chem. Phys., 18, 9723–9739, https://doi.org/10.5194/acp-18-9723-2018, 2018. a
Kallenborn, R., Breivik, K., Eckhardt, S., Lunder, C. R., Manø, S., Schlabach, M., and Stohl, A.: Long-term monitoring of persistent organic pollutants (POPs) at the Norwegian Troll station in Dronning Maud Land, Antarctica, Atmos. Chem. Phys., 13, 6983–6992, https://doi.org/10.5194/acp-13-6983-2013, 2013. a
Kelly, A., Lannuzel, D., Rodemann, T., Meiners, K., and Auman, H.: Microplastic
contamination in east Antarctic sea ice, Mar. Pollut. Bull., 154,
111130, https://doi.org/10.1016/j.marpolbul.2020.111130, 2020. a
Klein, M. and Fischer, E. K.: Microplastic abundance in atmospheric deposition
within the Metropolitan area of Hamburg, Germany, Sci. Total
Environ., 685, 96–103,
https://doi.org/10.1016/j.scitotenv.2019.05.405, 2019. a
Knobloch, E., Ruffell, H., Aves, A., Pantos, O., Gaw, S., and Revell, L. E.:
Comparison of Deposition Sampling Methods to Collect Airborne Microplastics
in Christchurch, New Zealand, Water Air Soil Pollut., 232, 133,
https://doi.org/10.1007/s11270-021-05080-9, 2021. a, b
Kroon, F., Motti, C., Talbot, S., Sobral, P., and Puotinen, M.: A workflow for
improving estimates of microplastic contamination in marine waters: A case
study from North-Western Australia, Environ. Pollut., 238, 26–38,
2018. a
Lacerda, A. L. d. F., Proietti, M. C., Secchi, E. R., and Taylor, J. D.:
Diverse groups of fungi are associated with plastics in the surface waters of
the Western South Atlantic and the Antarctic Peninsula, Mol.
Ecol., 29, 1903–1918, https://doi.org/10.1111/mec.15444, 2020. a
Le Guen, C., Suaria, G., Sherley, R. B., Ryan, P. G., Aliani, S., Boehme, L.,
and Brierley, A. S.: Microplastic study reveals the presence of natural and
synthetic fibres in the diet of King Penguins (Aptenodytes patagonicus) foraging from South Georgia, Environ. Int.,
134, 105303, https://doi.org/10.1016/j.envint.2019.105303, 2020. a
Lee, J. R., Raymond, B., Bracegirdle, T. J., Chades, I., Fuller, R. A., Shaw,
J. D., and Terauds, A.: Climate change drives expansion of Antarctic
ice-free habitat, Nature, 547, 49–54, 2017. a
Levermore, J. M., Smith, T. E., Kelly, F. J., and Wright, S. L.: Detection of
microplastics in ambient particulate matter using Raman spectral imaging
and chemometric analysis, Anal. Chem., 92, 8732–8740, 2020. a
Li, F., Ginoux, P., and Ramaswamy, V.: Distribution, transport, and deposition
of mineral dust in the Southern Ocean and Antarctica: Contribution of
major sources, J. Geophys. Res.-Atmos., 113, D10207, https://doi.org/10.1029/2007JD009190, 2008. a
MacLeod, M., Arp, H. P. H., Tekman, M. B., and Jahnke, A.: The global threat
from plastic pollution, Science, 373, 61–65, 2021. a
Masura, J., Baker, J. E., Foster, G. D., Arthur, C., and Herring, C.:
Laboratory methods for the analysis of microplastics in the marine environment: recommendations for quantifying synthetic particles in waters and sediments, Siver Spring, MD, NOAA Marine Debris Division, 31 pp., NOAA Technical Memorandum NOS-OR&R-48, https://doi.org/10.25607/OBP-604, 2015. a
Materić, D., Kasper-Giebl, A., Kau, D., Anten, M., Greilinger, M.,
Ludewig, E., van Sebille, E., Röckmann, T., and Holzinger, R.: Micro- and
Nanoplastics in Alpine Snow: A New Method for Chemical Identification and
(Semi)Quantification in the Nanogram Range, Environ. Sci.
Technol., 54, 2353–2359, https://doi.org/10.1021/acs.est.9b07540, 2020. a
Materić, D., Ludewig, E., Brunner, D., Röckmann, T., and Holzinger,
R.: Nanoplastics transport to the remote, high-altitude Alps, Environ.
Pollut., 288, 117697, https://doi.org/10.1016/j.envpol.2021.117697, 2021. a
Mato, Y., Isobe, T., Takada, H., Kanehiro, H., Ohtake, C., and Kaminuma, T.:
Plastic resin pellets as a transport medium for toxic chemicals in the marine
environment, Environ. Sci. Technol., 35, 318–324, 2001. a
Matsuoka, K., Skoglund, A., Roth, G., de Pomereu, J., Griffiths, H., Headland,
R., Herried, B., Katsumata, K., Le Brocq, A., Licht, K., Morgan, F., Neff,
P. D., Ritz, C., Scheinert, M., Tamura, T., Van de Putte, A., van den Broeke,
M., von Deschwanden, A., Deschamps-Berger, C., Van Liefferinge, B., Tronstad,
S., and Melvær, Y.: Quantarctica, an integrated mapping environment for
Antarctica, the Southern Ocean, and sub-Antarctic islands,
Environ. Model. Softw., 140, 105015,
https://doi.org/10.1016/j.envsoft.2021.105015, 2021. a, b
McConnell, J. R., Maselli, O. J., Sigl, M., Vallelonga, P., Neumann, T., Anschütz, H., Bales, R. C., Curran, M. A. J., Das, S. B., Edwards, R., Kipfstuhl, S., Layman, L., and Thomas, E. R.: Antarctic-wide array of high-resolution ice core records reveals
pervasive lead pollution began in 1889 and persists today, Sci.
Rep., 4, 1–5, 2014. a
Mountford, A. S. and Maqueda, M. M.: Modelling the accumulation and transport
of microplastics by sea ice, J. Geophys. Res.-Ocean., 126, e2020JC016826, https://doi.org/10.1029/2020JC016826, 2020. a
Napper, I. E. and Thompson, R. C.: Release of synthetic microplastic plastic
fibres from domestic washing machines: Effects of fabric type and washing
conditions, Mar. Pollut. Bull., 112, 39–45, 2016. a
Neff, P. D. and Bertler, N. A.: Trajectory modeling of modern dust transport to
the Southern Ocean and Antarctica, J. Geophys. Res.-Atmos., 120, 9303–9322, 2015. a
Parish, T. R., Cassano, J. J., and Seefeldt, M. W.: Characteristics of the
Ross Ice Shelf air stream as depicted in Antarctic Mesoscale
Prediction System simulations, J. Geophys. Res.-Atmos., 111, D12109, https://doi.org/10.1029/2005JD006185, 2006. a
Peck, L. S.: Antarctic marine biodiversity: adaptations, environments and
responses to change, in: Oceanography and Marine Biology, edited by: Hawkins, S. J., Evans, A. J., Dale, A. C., Firth, L. B., and Smith, I. P., 1st Edn., CRC Press, https://doi.org/10.1201/9780429454455, 2018. a
Primpke, S., Wirth, M., Lorenz, C., and Gerdts, G.: Reference database design
for the automated analysis of microplastic samples based on Fourier
transform infrared (FTIR) spectroscopy, Anal. Bioanal.
Chem., 410, 5131–5141, 2018. a
Reed, S., Clark, M., Thompson, R., and Hughes, K. A.: Microplastics in marine
sediments near Rothera research station, Antarctica, Mar. Pollut. Bull., 133, 460–463, 2018. a
Revell, L. E., Kuma, P., Le Ru, E. C., Somerville, W. R. C., and Gaw, S.:
Direct radiative effects of airborne microplastics, Nature, 598, 462–467,
https://doi.org/10.1038/s41586-021-03864-x, 2021. a, b
Rios, L. M., Moore, C., and Jones, P. R.: Persistent organic pollutants carried
by synthetic polymers in the ocean environment, Mar. Pollut. Bull.,
54, 1230–1237, 2007. a
Ryan, P. G.: A Brief History of Marine Litter Research, in: Marine Anthropogenic Litter, edited by: Bergmann, M., Gutow, L., and Klages, M., Springer, Cham, https://doi.org/10.1007/978-3-319-16510-3_1, 2015. a
Seefeldt, M. W. and Cassano, J. J.: A description of the Ross Ice Shelf
air stream (RAS) through the use of self‐organizing maps (SOMs),
J. Geophys. Res.-Atmos., 117, D09112, https://doi.org/10.1029/2011JD016857, 2012. a
Shim, W. J., Hong, S. H., and Eo, S. E.: Identification methods in microplastic
analysis: a review, Anal. Method., 9, 1384–1391, 2017. a
Stark, J. S., Corbett, P. A., Dunshea, G., Johnstone, G., King, C., Mondon,
J. A., Power, M. L., Samuel, A., Snape, I., and Riddle, M.: The environmental
impact of sewage and wastewater outfalls in Antarctica: An example from
Davis station, East Antarctica, Water Res., 105, 602–614, 2016. a
Suaria, G., Perold, V., Lee, J. R., Lebouard, F., Aliani, S., and Ryan, P. G.:
Floating macro-and microplastics around the Southern Ocean: Results from
the Antarctic Circumnavigation Expedition, Environ. Int.,
136, 105494, https://doi.org/10.1016/j.envint.2020.105494, 2020. a
Tao, D., Zhang, K., Xu, S., Lin, H., Liu, Y., Kang, J., Yim, T., Giesy, J. P.,
and Leung, K. M.: Microfibers Released into the Air from a Household Tumble
Dryer, Environ. Sci. Tech. Let., 9, 120–126, https://doi.org/10.1021/acs.estlett.1c00911, 2022. a
Tin, T., Lamers, M., Liggett, D., Maher, P. T., and Hughes, K. A.: Setting the Scene: Human Activities, Environmental Impacts and Governance Arrangements in Antarctica, in: Antarctic Futures, edited by: Tin, T., Liggett, D., Maher, P., and Lamers, M., Springer, Dordrecht, https://doi.org/10.1007/978-94-007-6582-5_1, 2014. a
Tin, T., Summerson, R., and Yang, H. R.: Wilderness or pure land: tourists’
perceptions of Antarctica, Polar J., 6, 307–327, 2016. a
Vandermeersch, G., Van Cauwenberghe, L., Janssen, C.R., Marques, A., Granby, K., Fait, G., Kotterman, M.J., Diogène, J., Bekaert, K., Robbens, J. and Devriese, L.: A critical view on microplastic quantification in aquatic organisms,
Environ. Res., 143, 46–55, 2015. a
Williamson, C. E., Neale, P. J., Hylander, S., Rose, K. C., Figueroa, F. L.,
Robinson, S. A., Häder, D.-P., Wängberg, S., and Worrest, R. C.: The
interactive effects of stratospheric ozone depletion, UV radiation, and
climate change on aquatic ecosystems, Photochem. Photobiol.
Sci., 18, 717–746, 2019. a
Wright, S. L., Thompson, R. C., and Galloway, T. S.: The physical impacts of
microplastics on marine organisms: a review, Environ. Pollut., 178,
483–492, 2013. a
Zhang, Y., Gao, T., Kang, S., Allen, S., Luo, X., and Allen, D.: Microplastics
in glaciers of the Tibetan Plateau: Evidence for the long-range transport
of microplastics, Sci. Total Environ., 758, 143634,
https://doi.org/10.1016/j.scitotenv.2020.143634, 2021. a
Short summary
This study confirms the presence of microplastics in Antarctic snow, highlighting the extent of plastic pollution globally. Fresh snow was collected from Ross Island, Antarctica, and subsequent analysis identified an average of 29 microplastic particles per litre of melted snow. The most likely source of these airborne microplastics is local scientific research stations; however, modelling shows their origin could have been up to 6000 km away.
This study confirms the presence of microplastics in Antarctic snow, highlighting the extent of...
