Articles | Volume 13, issue 7
https://doi.org/10.5194/amt-13-3661-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-3661-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds
Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Jülich, Germany
School of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland
Lars Hoffmann
Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Jülich, Germany
Reinhold Spang
Institut für Energie- und Klimaforschung (IEK-7), Forschungszentrum Jülich, Jülich, Germany
Gabriele Cavallaro
Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Jülich, Germany
Sabine Griessbach
Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Jülich, Germany
Michael Höpfner
Institut für Meteorlogie und Klimaforschung, Karlsruher Institut für Technologie, Karlsruhe, Germany
Matthias Book
School of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland
Morris Riedel
Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Jülich, Germany
School of Engineering and Natural Sciences, University of Iceland, Reykjavík, Iceland
Related authors
No articles found.
Mona Kosary, Pasquale Sellitto, Michael Höpfner, Bernd Funke, Alex Hoffmann, Jörn Ungermann, Quentin Errera, Simone Tilmes, and Björn-Martin Sinnhuber
EGUsphere, https://doi.org/10.5194/egusphere-2026-4654, https://doi.org/10.5194/egusphere-2026-4654, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Short summary
We investigated whether future satellites could track changes in the ozone layer if reflective particles were deliberately added high in the atmosphere to cool the planet. Using climate model simulations, we created virtual satellite measurements and compared them with the original data. The method captured the key changes, especially stronger ozone loss and delayed recovery over Antarctica, while showing low artificial distortion. This suggests such satellites could provide important oversight.
Wolfgang Woiwode, Bärbel Vogel, Valentin Lauther, Jens-Uwe Grooß, Jeremy Harrison, Sören Johansson, Jörn Ungermann, Peter Braesicke, Markus Dick, Andreas Engel, Felix Friedl-Vallon, Norbert Glatthor, Thomas Gulde, Michael Höpfner, Markus Jesswein, Jan Kaumanns, Timo Keber, Anne Kleinert, Erik Kretschmer, Guido Maucher, Tom Neubert, Hans Nordmeyer, Christof Piesch, Felix Plöger, Peter Preusse, Markus Retzlaff, Sebastian Rhode, Heinz Rongen, Georg Schardt, Tanja Schuck, Björn-Martin Sinnhuber, Johannes Strobel, Franziska Trinkl, Ronja Van Luijt, Stefan Versick, C. Michael Volk, Gerald Wetzel, Peter Hoor, and Martin Riese
EGUsphere, https://doi.org/10.5194/egusphere-2026-3271, https://doi.org/10.5194/egusphere-2026-3271, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
Filaments of CH2Cl2-rich air are revealed by airborne infrared limb-imaging observations in late summer 2023 above the North Pacific, Canada and Alaska and traced back to the Asian Summer Monsoon region. Involving new spectroscopic data, high CH2Cl2 levels were retrieved in the troposphere and moderate enhancements also in air masses with characteristics of the lowermost stratosphere. Mesoscale filaments are shown to transport substantial amounts of CH2Cl2 across the North Pacific.
Jianzhong Ma, Bin Chen, Qianshan He, Xiaolu Yan, Gaili Wang, Siyang Cheng, Benedikt Steil, Christoph Brühl, Holger Tost, Michael Höpfner, Andrea Pozzer, and Jos Lelieveld
Atmos. Chem. Phys., 26, 8125–8144, https://doi.org/10.5194/acp-26-8125-2026, https://doi.org/10.5194/acp-26-8125-2026, 2026
Short summary
Short summary
We use a global atmospheric chemistry and climate model to study the efficiency and effectiveness of the deep convective transport of CO, NH3 and SO2 from the planetary boundary layer into the Asian summer monsoon anticyclone. We find that in contrast to CO and NH3, the SO2 enhancements within the anticyclone are very weak. The wet scavenging over South Asia is more effective for SO2 than NH3 at reducing their amounts reaching the Tibetan Plateau and the Asian summer monsoon anticyclone.
Phoebe Noble, Haruka Okui, Joan Alexander, Manfred Ern, Neil P. Hindley, Lars Hoffmann, Laura Holt, Annelize van Niekerk, Riwal Plougonven, Inna Polichtchouk, Claudia C. Stephan, Martina Bramberger, Milena Corcos, William Putnam, Christopher Kruse, and Corwin J. Wright
Atmos. Chem. Phys., 26, 7607–7630, https://doi.org/10.5194/acp-26-7607-2026, https://doi.org/10.5194/acp-26-7607-2026, 2026
Short summary
Short summary
Gravity waves are small-scale processes that drive the circulation in the middle and upper atmosphere. In this work, we assess 3 new high-resolution (3-5km horizontal resolution) models against satellite data. Generally, models capture the spatial patterns and represent stratospheric northern hemisphere mountain generated waves well. However, they still underestimate amplitudes globally and struggle with the representation of southern hemispheric convective waves.
Yen-Sen Lu, Lars Hoffmann, Xue Wu, Corwin J. Wright, and Neil P. Hindley
EGUsphere, https://doi.org/10.5194/egusphere-2026-1469, https://doi.org/10.5194/egusphere-2026-1469, 2026
Short summary
Short summary
We studied how computer models represent atmospheric waves triggered by intense tropical cyclones. We used a real typhoon as a case study to test how different mathematical descriptions of the atmospheric model affect these wave patterns. We found that small changes in model settings significantly impact the predicted waves in the upper atmosphere. This research helps scientists choose better model configurations to improve weather forecasts and our understanding of atmospheric science.
Pasquale Sellitto, Maxim Eremenko, Paola Formenti, Perla Alalam, Michael Höpfner, and Claudia Di Biagio
Atmos. Meas. Tech., 19, 2751–2762, https://doi.org/10.5194/amt-19-2751-2026, https://doi.org/10.5194/amt-19-2751-2026, 2026
Short summary
Short summary
The Far-infrared Outgoing Radiation Understanding and Monitoring (FORUM) mission will bring the first satellite instrument capable of observing the Earth's far infrared (FIR) spectra with a high spectral resolution. FORUM will crucially contribute to water vapour, clouds and surface observations. We found that FORUM will provide also a significant sensitivity to dust aerosol, especially in cases of large burdens of mid-to-long-range transported plumes of dust in the free and upper troposphere.
Pasquale Sellitto, Mona Kosary, Michael Höpfner, Bernd Funke, Alex Hoffmann, Jörn Ungermann, Quentin Errera, Simone Tilmes, and Björn-Martin Sinnhuber
EGUsphere, https://doi.org/10.5194/egusphere-2026-919, https://doi.org/10.5194/egusphere-2026-919, 2026
Short summary
Short summary
To counterbalance human-caused global warming, highly controversial geoengineering techniques, based on stratospheric aerosol injection (SAI), have been proposed as a complement to climate change mitigation. Unilateral or illegal SAI deployments or tests are a risk. We show that existing satellite instruments do not have the capability to detect possible illegal SAI experiments and we propose a future satellite technique, infrared limb emission sounding, that can provide this missing capability.
Quentin Errera, Marc Op de beeck, Stefan Bender, Johannes Flemming, Bernd Funke, Alex Hoffmann, Michael Höpfner, Nathaniel Livesey, Gabriele Poli, Didier Pieroux, Piera Raspollini, and Björn-Martin Sinnhuber
Atmos. Meas. Tech., 19, 2601–2620, https://doi.org/10.5194/amt-19-2601-2026, https://doi.org/10.5194/amt-19-2601-2026, 2026
Short summary
Short summary
The Changing Atmosphere Infra-Red Tomography Explorer (CAIRT) is a satellite mission concept developed to observe, among other, the gradient of ozone and water vapour in the upper troposphere and lower stratosphere where these species have their largest radiative impact. By simulating CAIRT observations and measuring their constrain on an atmospheric model using data assimilation, this study shows that CAIRT specifications are adequate to fulfil this objective.
Zhen Yang, Bärbel Vogel, Felix Plöger, Zhixuan Bai, Dan Li, Sabine Griessbach, Lars Hoffmann, Frank G. Wienhold, Elizabeth Asher, Alexandre A. Baron, Katie R. Smith, Troy Thornberry, Jianchun Bian, and Michaela I. Hegglin
Atmos. Chem. Phys., 26, 4749–4769, https://doi.org/10.5194/acp-26-4749-2026, https://doi.org/10.5194/acp-26-4749-2026, 2026
Short summary
Short summary
Balloon measurements over Lhasa, China, combined with satellite guided modelling, tracked aerosol from the 2019 Raikoke eruption through the Asian summer monsoon anticyclone. We find two altitude dependent routes into the anticyclone. It partly blocks transport but also allows entry and mixing, explaining the gradual weakening of the layers. Balloon measurements over Boulder, United States, outside the anticyclone, provide an independent check outside the region.
Peter G. Berthelemy, Corwin J. Wright, Neil P. Hindley, Phoebe E. Noble, and Lars Hoffmann
Atmos. Chem. Phys., 25, 17595–17611, https://doi.org/10.5194/acp-25-17595-2025, https://doi.org/10.5194/acp-25-17595-2025, 2025
Short summary
Short summary
Atmospheric gravity waves are one of the key mechanisms for moving energy upwards through the atmosphere. We use temperature data to see them from a satellite, and here have made a new method to automatically detect them. This works by seeing if points next to each other are from the same wave. This is useful for creating larger gravity wave datasets without noise, which can then be used by climate forecasters to improve their understanding of the atmosphere.
Arno Keppens, Daan Hubert, José Granville, Oindrila Nath, Jean-Christopher Lambert, Catherine Wespes, Pierre-François Coheur, Cathy Clerbaux, Anne Boynard, Richard Siddans, Barry Latter, Brian Kerridge, Serena Di Pede, Pepijn Veefkind, Juan Cuesta, Gaelle Dufour, Klaus-Peter Heue, Melanie Coldewey-Egbers, Diego Loyola, Andrea Orfanoz-Cheuquelaf, Swathi Maratt Satheesan, Kai-Uwe Eichmann, Alexei Rozanov, Viktoria F. Sofieva, Jerald R. Ziemke, Antje Inness, Roeland Van Malderen, and Lars Hoffmann
Atmos. Meas. Tech., 18, 6893–6916, https://doi.org/10.5194/amt-18-6893-2025, https://doi.org/10.5194/amt-18-6893-2025, 2025
Short summary
Short summary
The first Tropospheric Ozone Assessment Report (TOAR) encountered discrepancies between several satellite sensors’ estimates of the distribution and change of ozone in the free troposphere. Therefore, contributing to the second TOAR, we harmonise as much as possible the observational perspective of sixteen tropospheric ozone products from satellites. This only partially accounts for the observed discrepancies, with a reduction of 10–40 % of the inter-product dispersion upon harmonisation.
Gerald Wetzel, Anne Kleinert, Sören Johansson, Felix Friedl-Vallon, Michael Höpfner, Jörn Ungermann, Tom Neubert, Valéry Catoire, Cyril Crevoisier, Andreas Engel, Thomas Gulde, Patrick Jacquet, Oliver Kirner, Erik Kretschmer, Thomas Kulessa, Johannes C. Laube, Guido Maucher, Hans Nordmeyer, Christof Piesch, Peter Preusse, Markus Retzlaff, Georg Schardt, Johan Schillings, Herbert Schneider, Axel Schönfeld, Tanja Schuck, Wolfgang Woiwode, Martin Riese, and Peter Braesicke
Atmos. Meas. Tech., 18, 5873–5894, https://doi.org/10.5194/amt-18-5873-2025, https://doi.org/10.5194/amt-18-5873-2025, 2025
Short summary
Short summary
We present vertical trace gas profiles from the first balloon flight of the newly developed GLORIA-B limb-imaging Fourier-Transform spectrometer. Longer-lived gases are compared to external measurements to assess the quality of the GLORIA-B observations. Diurnal changes of photochemically active species are compared to model simulations. GLORIA-B demonstrates the capability of balloon-borne limb imaging to provide high-resolution vertical profiles of trace gases up to the middle stratosphere.
Martina Krämer, Nicole Spelten, Christian Rolf, and Reinhold Spang
Atmos. Chem. Phys., 25, 13563–13583, https://doi.org/10.5194/acp-25-13563-2025, https://doi.org/10.5194/acp-25-13563-2025, 2025
Short summary
Short summary
The size and number of cirrus ice crystals is one parameter influencing the still uncertain effect of cirrus clouds on climate. Here, the occurrence of ice particle sizes and concentrations with varying temperature and cloud microphysical thickness is analyzed as well as whether they formed in-situ or were transported upwards as frozen droplets from further below. The analyses are based on a large database of airborne measurements and extensive simulations.
Cecilia Tirelli, Simone Ceccherini, Samuele Del Bianco, Bernd Funke, Michael Höpfner, Ugo Cortesi, and Piera Raspollini
Atmos. Meas. Tech., 18, 5619–5636, https://doi.org/10.5194/amt-18-5619-2025, https://doi.org/10.5194/amt-18-5619-2025, 2025
Short summary
Short summary
The Complete Data Fusion is an a posteriori method used to combine remote sensing products from independent observations of the same or proximate air masses. In this study, we extend the algorithm’s applicability to two-dimensional products, testing it with simulated ozone datasets from nadir and limb measurements. Our results show that the exploitation of the tomographic capabilities of future atmospheric sensors maximizes the information extracted from complementary datasets.
Farahnaz Khosrawi and Lars Hoffmann
EGUsphere, https://doi.org/10.5194/egusphere-2025-3147, https://doi.org/10.5194/egusphere-2025-3147, 2025
Preprint archived
Short summary
Short summary
Computer performance has increased immensely in recent years, but the ability to store data has only increased slightly. This presents scientists with major challenges. Many compression methods have been developed in recent years with which data can be stored either lossless or lossy. Here we test three of these methods: two lossy compression methods and one lossless compressor. Our study shows that compression is a valuable tool to cope with the high demand of disk space from these data sets.
Matthias Kohl, Christoph Brühl, Jennifer Schallock, Holger Tost, Patrick Jöckel, Adrian Jost, Steffen Beirle, Michael Höpfner, and Andrea Pozzer
Geosci. Model Dev., 18, 3985–4007, https://doi.org/10.5194/gmd-18-3985-2025, https://doi.org/10.5194/gmd-18-3985-2025, 2025
Short summary
Short summary
SO2 from explosive volcanic eruptions reaching the stratosphere can oxidize and form sulfur aerosols, potentially persisting for several years. We developed a new submodel, Explosive Volcanic ERuptions (EVER), that seamlessly includes stratospheric volcanic SO2 emissions in global numerical simulations based on a novel standard historical model setup, successfully evaluated with satellite observations. Sensitivity studies on the Nabro eruption in 2011 evaluate different emission methods.
Mingzhao Liu, Lars Hoffmann, Jens-Uwe Grooß, Zhongyin Cai, Sabine Grießbach, and Yi Heng
Atmos. Chem. Phys., 25, 4403–4418, https://doi.org/10.5194/acp-25-4403-2025, https://doi.org/10.5194/acp-25-4403-2025, 2025
Short summary
Short summary
We studied the transport and chemical decomposition of volcanic SO2, focusing on the 2019 Raikoke event. By comparing two different chemistry modeling schemes, we found that including complex chemical reactions leads to a more accurate prediction of how long SO2 stays in the atmosphere. This research helps improve our understanding of volcanic pollution and its impact on air quality and climate, providing better tools for scientists to track and predict the movement of these pollutants.
Florian Voet, Felix Ploeger, Johannes Laube, Peter Preusse, Paul Konopka, Jens-Uwe Grooß, Jörn Ungermann, Björn-Martin Sinnhuber, Michael Höpfner, Bernd Funke, Gerald Wetzel, Sören Johansson, Gabriele Stiller, Eric Ray, and Michaela I. Hegglin
Atmos. Chem. Phys., 25, 3541–3565, https://doi.org/10.5194/acp-25-3541-2025, https://doi.org/10.5194/acp-25-3541-2025, 2025
Short summary
Short summary
This study refines estimates of the stratospheric “age of air”, a measure of how long air circulates in the stratosphere. By analyzing correlations between trace gases measurable by satellites, the research introduces a method that reduces uncertainties and detects small-scale atmospheric features. This improved understanding of stratospheric circulation is crucial for better climate models and predictions, enhancing our ability to assess the impacts of climate change on the atmosphere.
Astrid Kerkweg, Timo Kirfel, Duong H. Do, Sabine Griessbach, Patrick Jöckel, and Domenico Taraborrelli
Geosci. Model Dev., 18, 1265–1286, https://doi.org/10.5194/gmd-18-1265-2025, https://doi.org/10.5194/gmd-18-1265-2025, 2025
Short summary
Short summary
Normally, the Modular Earth Submodel System (MESSy) is linked to complete dynamic models to create chemical climate models. However, the modular concept of MESSy and the newly developed DWARF component presented here make it possible to create simplified models that contain only one or a few process descriptions. This is very useful for technical optimisation, such as porting to GPUs, and can be used to create less complex models, such as a chemical box model.
Ling Zou, Reinhold Spang, Sabine Griessbach, Lars Hoffmann, Farahnaz Khosrawi, Rolf Müller, and Ines Tritscher
Atmos. Chem. Phys., 24, 11759–11774, https://doi.org/10.5194/acp-24-11759-2024, https://doi.org/10.5194/acp-24-11759-2024, 2024
Short summary
Short summary
This study provided estimates of the occurrence of ice polar stratospheric clouds (PSCs) observed by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) and their connection with temperatures above the frost point (Tice) using a Lagrangian model derived from ERA5. We found that ice PSCs above Tice with temperature fluctuations along the backward trajectory are 33 % in the Arctic and 9 % in the Antarctic. This quantitative assessment enhances our understanding of ice PSCs.
Karolin Voss, Philip Holzbeck, Klaus Pfeilsticker, Ralph Kleinschek, Gerald Wetzel, Blanca Fuentes Andrade, Michael Höpfner, Jörn Ungermann, Björn-Martin Sinnhuber, and André Butz
Atmos. Meas. Tech., 17, 4507–4528, https://doi.org/10.5194/amt-17-4507-2024, https://doi.org/10.5194/amt-17-4507-2024, 2024
Short summary
Short summary
A novel balloon-borne instrument for direct sun and solar occultation measurements of several UV–Vis absorbing gases (e.g. O3, NO2, BrO, IO, and HONO) is described. Its major design features and performance during two stratospheric deployments are discussed. From the measured overhead BrO concentration and a suitable photochemical correction, total stratospheric bromine is inferred to (17.5 ± 2.2) ppt in air masses which entered the stratosphere around early 2017 ± 1 year.
Sören Johansson, Michael Höpfner, Felix Friedl-Vallon, Norbert Glatthor, Thomas Gulde, Vincent Huijnen, Anne Kleinert, Erik Kretschmer, Guido Maucher, Tom Neubert, Hans Nordmeyer, Christof Piesch, Peter Preusse, Martin Riese, Björn-Martin Sinnhuber, Jörn Ungermann, Gerald Wetzel, and Wolfgang Woiwode
Atmos. Chem. Phys., 24, 8125–8138, https://doi.org/10.5194/acp-24-8125-2024, https://doi.org/10.5194/acp-24-8125-2024, 2024
Short summary
Short summary
We present airborne infrared limb sounding GLORIA measurements of ammonia (NH3) in the upper troposphere of air masses within the Asian monsoon and of those connected with biomass burning. Comparing CAMS (Copernicus Atmosphere Monitoring Service) model data, we find that the model reproduces the measured enhanced NH3 within the Asian monsoon well but not that within biomass burning plumes, where no enhanced NH3 is measured in the upper troposphere but considerable amounts are simulated by CAMS.
Jan Clemens, Lars Hoffmann, Bärbel Vogel, Sabine Grießbach, and Nicole Thomas
Geosci. Model Dev., 17, 4467–4493, https://doi.org/10.5194/gmd-17-4467-2024, https://doi.org/10.5194/gmd-17-4467-2024, 2024
Short summary
Short summary
Lagrangian transport models simulate the transport of air masses in the atmosphere. For example, one model (CLaMS) is well suited to calculating transport as it uses a special coordinate system and special vertical wind. However, it only runs inefficiently on modern supercomputers. Hence, we have implemented the benefits of CLaMS into a new model (MPTRAC), which is already highly efficient on modern supercomputers. Finally, in extensive tests, we showed that CLaMS and MPTRAC agree very well.
Lars Hoffmann, Kaveh Haghighi Mood, Andreas Herten, Markus Hrywniak, Jiri Kraus, Jan Clemens, and Mingzhao Liu
Geosci. Model Dev., 17, 4077–4094, https://doi.org/10.5194/gmd-17-4077-2024, https://doi.org/10.5194/gmd-17-4077-2024, 2024
Short summary
Short summary
Lagrangian particle dispersion models are key for studying atmospheric transport but can be computationally intensive. To speed up simulations, the MPTRAC model was ported to graphics processing units (GPUs). Performance optimization of data structures and memory alignment resulted in runtime improvements of up to 75 % on NVIDIA A100 GPUs for ERA5-based simulations with 100 million particles. These optimizations make the MPTRAC model well suited for future high-performance computing systems.
Christina V. Brodowsky, Timofei Sukhodolov, Gabriel Chiodo, Valentina Aquila, Slimane Bekki, Sandip S. Dhomse, Michael Höpfner, Anton Laakso, Graham W. Mann, Ulrike Niemeier, Giovanni Pitari, Ilaria Quaglia, Eugene Rozanov, Anja Schmidt, Takashi Sekiya, Simone Tilmes, Claudia Timmreck, Sandro Vattioni, Daniele Visioni, Pengfei Yu, Yunqian Zhu, and Thomas Peter
Atmos. Chem. Phys., 24, 5513–5548, https://doi.org/10.5194/acp-24-5513-2024, https://doi.org/10.5194/acp-24-5513-2024, 2024
Short summary
Short summary
The aerosol layer is an essential part of the climate system. We characterize the sulfur budget in a volcanically quiescent (background) setting, with a special focus on the sulfate aerosol layer using, for the first time, a multi-model approach. The aim is to identify weak points in the representation of the atmospheric sulfur budget in an intercomparison of nine state-of-the-art coupled global circulation models.
Norbert Glatthor, Thomas von Clarmann, Bernd Funke, Maya García-Comas, Udo Grabowski, Michael Höpfner, Sylvia Kellmann, Michael Kiefer, Alexandra Laeng, Andrea Linden, Manuel López-Puertas, and Gabriele P. Stiller
Atmos. Meas. Tech., 17, 2849–2871, https://doi.org/10.5194/amt-17-2849-2024, https://doi.org/10.5194/amt-17-2849-2024, 2024
Short summary
Short summary
We present global atmospheric methane (CH4) and nitrous oxide (N2O) distributions retrieved from measurements of the MIPAS instrument on board the Environmental Satellite (Envisat) during 2002 to 2012. Monitoring of these gases is of scientific interest because both of them are strong greenhouse gases. We analyze the latest, improved version of calibrated MIPAS measurements. Further, we apply a new retrieval scheme leading to an improved CH4 and N2O data product .
Irene Bartolomé García, Odran Sourdeval, Reinhold Spang, and Martina Krämer
Atmos. Chem. Phys., 24, 1699–1716, https://doi.org/10.5194/acp-24-1699-2024, https://doi.org/10.5194/acp-24-1699-2024, 2024
Short summary
Short summary
How many ice crystals of each size are in a cloud is a key parameter for the retrieval of cloud properties. The distribution of ice crystals is obtained from in situ measurements and used to create parameterizations that can be used when analyzing the remote-sensing data. Current parameterizations are based on data sets that do not include reliable measurements of small crystals, but in our study we use a data set that includes very small ice crystals to improve these parameterizations.
Reinhold Spang, Rolf Müller, and Alexandru Rap
Atmos. Chem. Phys., 24, 1213–1230, https://doi.org/10.5194/acp-24-1213-2024, https://doi.org/10.5194/acp-24-1213-2024, 2024
Short summary
Short summary
Cirrus clouds play an important role in the radiation budget of the Earth. Despite recent progress in their observation, the radiative impact of ultra-thin cirrus clouds (UTC) in the tropopause region and in the lowermost stratosphere remains poorly constrained. Sensitivity model simulations with different ice parameters provide an uncertainty range for the radiative effect of UTCs. There is a need for better observed UTCs to enable the simulation of their potentially large effect on climate.
Jan Clemens, Bärbel Vogel, Lars Hoffmann, Sabine Griessbach, Nicole Thomas, Suvarna Fadnavis, Rolf Müller, Thomas Peter, and Felix Ploeger
Atmos. Chem. Phys., 24, 763–787, https://doi.org/10.5194/acp-24-763-2024, https://doi.org/10.5194/acp-24-763-2024, 2024
Short summary
Short summary
The source regions of the Asian tropopause aerosol layer (ATAL) are debated. We use balloon-borne measurements of the layer above Nainital (India) in August 2016 and atmospheric transport models to find ATAL source regions. Most air originated from the Tibetan plateau. However, the measured ATAL was stronger when more air originated from the Indo-Gangetic Plain and weaker when more air originated from the Pacific. Hence, the results indicate important anthropogenic contributions to the ATAL.
Abhiraj Bishnoi, Olaf Stein, Catrin I. Meyer, René Redler, Norbert Eicker, Helmuth Haak, Lars Hoffmann, Daniel Klocke, Luis Kornblueh, and Estela Suarez
Geosci. Model Dev., 17, 261–273, https://doi.org/10.5194/gmd-17-261-2024, https://doi.org/10.5194/gmd-17-261-2024, 2024
Short summary
Short summary
We enabled the weather and climate model ICON to run in a high-resolution coupled atmosphere–ocean setup on the JUWELS supercomputer, where the ocean and the model I/O runs on the CPU Cluster, while the atmosphere is running simultaneously on GPUs. Compared to a simulation performed on CPUs only, our approach reduces energy consumption by 45 % with comparable runtimes. The experiments serve as preparation for efficient computing of kilometer-scale climate models on future supercomputing systems.
Bärbel Vogel, C. Michael Volk, Johannes Wintel, Valentin Lauther, Jan Clemens, Jens-Uwe Grooß, Gebhard Günther, Lars Hoffmann, Johannes C. Laube, Rolf Müller, Felix Ploeger, and Fred Stroh
Atmos. Chem. Phys., 24, 317–343, https://doi.org/10.5194/acp-24-317-2024, https://doi.org/10.5194/acp-24-317-2024, 2024
Short summary
Short summary
Over the Indian subcontinent, polluted air is rapidly uplifted to higher altitudes during the Asian monsoon season. We present an assessment of vertical transport in this region using different wind data provided by the European Centre for Medium-Range Weather Forecasts (ECMWF), as well as high-resolution aircraft measurements. In general, our findings confirm that the newest ECMWF reanalysis product, ERA5, yields a better representation of transport compared to the predecessor, ERA-Interim.
Xue Wu, Lars Hoffmann, Corwin J. Wright, Neil P. Hindley, M. Joan Alexander, Silvio Kalisch, Xin Wang, Bing Chen, Yinan Wang, and Daren Lyu
EGUsphere, https://doi.org/10.5194/egusphere-2023-3008, https://doi.org/10.5194/egusphere-2023-3008, 2024
Preprint archived
Short summary
Short summary
This study identified a noteworthy time-lagged correlation between hurricane intensity and stratospheric gravity wave intensities during hurricane intensification. Meanwhile, the study reveals distinct frequencies, horizontal wavelengths, and vertical wavelengths in the inner core region during hurricane intensification, offering essential insights for monitoring hurricane intensity via satellite observations of stratospheric gravity waves.
Mingzhao Liu, Lars Hoffmann, Sabine Griessbach, Zhongyin Cai, Yi Heng, and Xue Wu
Geosci. Model Dev., 16, 5197–5217, https://doi.org/10.5194/gmd-16-5197-2023, https://doi.org/10.5194/gmd-16-5197-2023, 2023
Short summary
Short summary
We introduce new and revised chemistry and physics modules in the Massive-Parallel Trajectory Calculations (MPTRAC) Lagrangian transport model aiming to improve the representation of volcanic SO2 transport and depletion. We test these modules in a case study of the Ambae eruption in July 2018 in which the SO2 plume underwent wet removal and convection. The lifetime of SO2 shows highly variable and complex dependencies on the atmospheric conditions at different release heights.
Lars Hoffmann, Paul Konopka, Jan Clemens, and Bärbel Vogel
Atmos. Chem. Phys., 23, 7589–7609, https://doi.org/10.5194/acp-23-7589-2023, https://doi.org/10.5194/acp-23-7589-2023, 2023
Short summary
Short summary
Atmospheric convection plays a key role in tracer transport in the troposphere. Global meteorological forecasts and reanalyses typically have a coarse spatiotemporal resolution that does not adequately resolve the dynamics, transport, and mixing of air associated with storm systems or deep convection. We discuss the application of the extreme convection parameterization in a Lagrangian transport model to improve simulations of tracer transport from the boundary layer into the free troposphere.
Michael Kiefer, Thomas von Clarmann, Bernd Funke, Maya García-Comas, Norbert Glatthor, Udo Grabowski, Michael Höpfner, Sylvia Kellmann, Alexandra Laeng, Andrea Linden, Manuel López-Puertas, and Gabriele P. Stiller
Atmos. Meas. Tech., 16, 1443–1460, https://doi.org/10.5194/amt-16-1443-2023, https://doi.org/10.5194/amt-16-1443-2023, 2023
Short summary
Short summary
A new ozone data set, derived from radiation measurements of the space-borne instrument MIPAS, is presented. It consists of more than 2 million single ozone profiles from 2002–2012, covering virtually all latitudes and altitudes between 5 and 70 km. Progress in data calibration and processing methods allowed for significant improvement of the data quality, compared to previous data versions. Hence, the data set will help to better understand e.g. the time evolution of ozone in the stratosphere.
Jennifer Schallock, Christoph Brühl, Christine Bingen, Michael Höpfner, Landon Rieger, and Jos Lelieveld
Atmos. Chem. Phys., 23, 1169–1207, https://doi.org/10.5194/acp-23-1169-2023, https://doi.org/10.5194/acp-23-1169-2023, 2023
Short summary
Short summary
We characterized the influence of volcanic aerosols for the period 1990–2019 and established a volcanic SO2 emission inventory that includes more than 500 eruptions. From limb-based satellite observations of SO2 and extinction, we derive 3D plumes of SO2 perturbations and injected mass by a novel method. We calculate instantaneous radiative forcing with a comprehensive chemisty climate model. Our results show that smaller eruptions can also contribute to the stratospheric aerosol forcing.
Reimar Bauer, Jens-Uwe Grooß, Jörn Ungermann, May Bär, Markus Geldenhuys, and Lars Hoffmann
Geosci. Model Dev., 15, 8983–8997, https://doi.org/10.5194/gmd-15-8983-2022, https://doi.org/10.5194/gmd-15-8983-2022, 2022
Short summary
Short summary
The Mission Support System (MSS) is an open source software package that has been used for planning flight tracks of scientific aircraft in multiple measurement campaigns during the last decade. Here, we describe the MSS software and its use during the SouthTRAC measurement campaign in 2019. As an example for how the MSS software is used in conjunction with many datasets, we describe the planning of a single flight probing orographic gravity waves propagating up into the lower mesosphere.
Gerald Wetzel, Michael Höpfner, Hermann Oelhaf, Felix Friedl-Vallon, Anne Kleinert, Guido Maucher, Miriam Sinnhuber, Janna Abalichin, Angelika Dehn, and Piera Raspollini
Atmos. Meas. Tech., 15, 6669–6704, https://doi.org/10.5194/amt-15-6669-2022, https://doi.org/10.5194/amt-15-6669-2022, 2022
Short summary
Short summary
Satellite measurements of stratospheric trace gases are essential for monitoring distributions and trends of these species on a global scale. Here, we compare the final MIPAS ESA Level 2 version 8 data (temperature and trace gases) with measurements obtained with the balloon version of MIPAS in terms of data agreement of both sensors, including combined errors. For most gases, we find a 5 % to 20 % agreement of the retrieved vertical profiles of both MIPAS instruments in the lower stratosphere.
Paul Konopka, Mengchu Tao, Marc von Hobe, Lars Hoffmann, Corinna Kloss, Fabrizio Ravegnani, C. Michael Volk, Valentin Lauther, Andreas Zahn, Peter Hoor, and Felix Ploeger
Geosci. Model Dev., 15, 7471–7487, https://doi.org/10.5194/gmd-15-7471-2022, https://doi.org/10.5194/gmd-15-7471-2022, 2022
Short summary
Short summary
Pure trajectory-based transport models driven by meteorology derived from reanalysis products (ERA5) take into account only the resolved, advective part of transport. That means neither mixing processes nor unresolved subgrid-scale advective processes like convection are included. The Chemical Lagrangian Model of the Stratosphere (CLaMS) includes these processes. We show that isentropic mixing dominates unresolved transport. The second most important transport process is unresolved convection.
Zhongyin Cai, Sabine Griessbach, and Lars Hoffmann
Atmos. Chem. Phys., 22, 6787–6809, https://doi.org/10.5194/acp-22-6787-2022, https://doi.org/10.5194/acp-22-6787-2022, 2022
Short summary
Short summary
Using AIRS and TROPOMI sulfur dioxide retrievals and the Lagrangian transport model MPTRAC, we present an improved reconstruction of injection parameters of the 2019 Raikoke eruption. Reconstructions agree well between using AIRS nighttime and TROPOMI daytime retrievals, showing the potential of our approach to create a long-term volcanic sulfur dioxide inventory from nearly 20 years of AIRS retrievals.
Ling Zou, Sabine Griessbach, Lars Hoffmann, and Reinhold Spang
Atmos. Chem. Phys., 22, 6677–6702, https://doi.org/10.5194/acp-22-6677-2022, https://doi.org/10.5194/acp-22-6677-2022, 2022
Short summary
Short summary
Ice clouds in the stratosphere (SICs) greatly affect the water vapor balance and radiation budget in the upper troposphere and lower stratosphere (UTLS). We quantified the global SICs and analyzed their relationships with tropopause temperature, double tropopauses, UTLS clouds, gravity waves, and stratospheric aerosols. The correlations between SICs and all abovementioned processes indicate that the occurrence of and variability in SICs are spatiotemporally dependent on different processes.
Lars Hoffmann, Paul F. Baumeister, Zhongyin Cai, Jan Clemens, Sabine Griessbach, Gebhard Günther, Yi Heng, Mingzhao Liu, Kaveh Haghighi Mood, Olaf Stein, Nicole Thomas, Bärbel Vogel, Xue Wu, and Ling Zou
Geosci. Model Dev., 15, 2731–2762, https://doi.org/10.5194/gmd-15-2731-2022, https://doi.org/10.5194/gmd-15-2731-2022, 2022
Short summary
Short summary
We describe the new version (2.2) of the Lagrangian transport model MPTRAC, which has been ported for application on GPUs. The model was verified by comparing kinematic trajectories and synthetic tracer simulations for the free troposphere and stratosphere from GPUs and CPUs. Benchmarking showed a speed-up of a factor of 16 of GPU-enabled simulations compared to CPU-only runs, indicating the great potential of applying GPUs for Lagrangian transport simulations on upcoming HPC systems.
Lars Hoffmann and Reinhold Spang
Atmos. Chem. Phys., 22, 4019–4046, https://doi.org/10.5194/acp-22-4019-2022, https://doi.org/10.5194/acp-22-4019-2022, 2022
Short summary
Short summary
We present an intercomparison of 2009–2018 lapse rate tropopause characteristics as derived from ECMWF's ERA5 and ERA-Interim reanalyses. Large-scale features are similar, but ERA5 shows notably larger variability, which we mainly attribute to UTLS temperature fluctuations due to gravity waves being better resolved by ECMWF's IFS forecast model. Following evaluation with radiosondes and GPS data, we conclude ERA5 will be a more suitable asset for tropopause-related studies in future work.
Sören Johansson, Gerald Wetzel, Felix Friedl-Vallon, Norbert Glatthor, Michael Höpfner, Anne Kleinert, Tom Neubert, Björn-Martin Sinnhuber, and Jörn Ungermann
Atmos. Chem. Phys., 22, 3675–3691, https://doi.org/10.5194/acp-22-3675-2022, https://doi.org/10.5194/acp-22-3675-2022, 2022
Short summary
Short summary
We present GLORIA airborne cross sections of PAN, C2H6, HCOOH, CH3OH, and C2H4 in the South Atlantic UTLS in September/October 2019. Filamentary structures and a large plume were observed. Backward trajectories indicate that measured pollutants come from South America and central Africa. Comparisons to CAMS show structural agreement of the measured distributions. PAN absolute VMRs agree with the GLORIA measurements, C2H6 and HCOOH are simulated too low, and CH3OH and C2H4 are too high.
Paul F. Baumeister and Lars Hoffmann
Geosci. Model Dev., 15, 1855–1874, https://doi.org/10.5194/gmd-15-1855-2022, https://doi.org/10.5194/gmd-15-1855-2022, 2022
Short summary
Short summary
The efficiency of the numerical simulation of radiative transport is shown on modern server-class graphics cards (GPUs). The low-cost prefactor on GPUs compared to general-purpose processors (CPUs) enables future large retrieval campaigns for multi-channel data from infrared sounders aboard low-orbit satellites. The validated research software JURASSIC is available in the public domain.
Florian Haenel, Wolfgang Woiwode, Jennifer Buchmüller, Felix Friedl-Vallon, Michael Höpfner, Sören Johansson, Farahnaz Khosrawi, Oliver Kirner, Anne Kleinert, Hermann Oelhaf, Johannes Orphal, Roland Ruhnke, Björn-Martin Sinnhuber, Jörn Ungermann, Michael Weimer, and Peter Braesicke
Atmos. Chem. Phys., 22, 2843–2870, https://doi.org/10.5194/acp-22-2843-2022, https://doi.org/10.5194/acp-22-2843-2022, 2022
Short summary
Short summary
We compare remote sensing observations of H2O, O3, HNO3 and clouds in the upper troposphere–lowermost stratosphere during an Arctic winter long-range research flight with simulations by two different state-of-the-art model systems. We find good agreement for dynamical structures, trace gas distributions and clouds. We investigate model biases and sensitivities, with the goal of aiding model development and improving our understanding of processes in the upper troposphere–lowermost stratosphere.
Matthias Schneider, Benjamin Ertl, Christopher J. Diekmann, Farahnaz Khosrawi, Andreas Weber, Frank Hase, Michael Höpfner, Omaira E. García, Eliezer Sepúlveda, and Douglas Kinnison
Earth Syst. Sci. Data, 14, 709–742, https://doi.org/10.5194/essd-14-709-2022, https://doi.org/10.5194/essd-14-709-2022, 2022
Short summary
Short summary
We present atmospheric H2O, HDO / H2O ratio, N2O, CH4, and HNO3 data generated by the MUSICA IASI processor using thermal nadir spectra measured by the IASI satellite instrument. The data have global daily coverage and are available for the period between October 2014 and June 2021. Multiple possibilities of data reuse are offered by providing each individual data product together with information about retrieval settings and the products' uncertainty and vertical representativeness.
Michael Höpfner, Oliver Kirner, Gerald Wetzel, Björn-Martin Sinnhuber, Florian Haenel, Sören Johansson, Johannes Orphal, Roland Ruhnke, Gabriele Stiller, and Thomas von Clarmann
Atmos. Chem. Phys., 21, 18433–18464, https://doi.org/10.5194/acp-21-18433-2021, https://doi.org/10.5194/acp-21-18433-2021, 2021
Short summary
Short summary
BrONO2 is an important reservoir gas for inorganic stratospheric bromine linked to the chemical cycles of stratospheric ozone depletion. Presently infrared limb sounding is the only way to measure BrONO2 in the atmosphere. We provide global distributions of BrONO2 derived from MIPAS observations 2002–2012. Comparisons with EMAC atmospheric modelling show an overall agreement and enable us to derive an independent estimate of stratospheric bromine of 21.2±1.4pptv based on the BrONO2 measurements.
Prashant Chavan, Suvarna Fadnavis, Tanusri Chakroborty, Christopher E. Sioris, Sabine Griessbach, and Rolf Müller
Atmos. Chem. Phys., 21, 14371–14384, https://doi.org/10.5194/acp-21-14371-2021, https://doi.org/10.5194/acp-21-14371-2021, 2021
Short summary
Short summary
Biomass burning (BB) over Asia is a strong source of carbonaceous aerosols during spring. Here, we show an outflow of Asian BB carbonaceous aerosols into the UTLS. These aerosols enhance atmospheric heating and produce circulation changes that lead to the enhancement of water vapor in the UTLS over the tropics. In the stratosphere, water vapor is further transported to the South Pole by the Brewer–Dobson circulation. Enhancement of water vapor in the UTLS has implications for climate change.
Cited articles
Achtert, P. and Tesche, M.: Assessing
lidar-based classification schemes for polar stratospheric clouds based on 16 years of
measurements at Esrange, Sweden, J. Geophys. Res.-Atmos., 119, 1386–1405,
https://doi.org/10.1002/2013jd020355, 2014. a
Adriani, A.: Climatology of polar stratospheric clouds based
on lidar observations from 1993 to 2001 over McMurdo Station, Antarctica, J. Geophys. Res., 109,
D24, https://doi.org/10.1029/2004jd004800, 2004. a
Arnone,
E., Castelli, E., Papandrea, E., Carlotti, M., and Dinelli, B. M.: Extreme ozone depletion in the
2010–2011 Arctic winter stratosphere as observed by MIPAS/ENVISAT using a 2-D tomographic
approach, Atmos. Chem. Phys., 12, 9149–9165, https://doi.org/10.5194/acp-12-9149-2012, 2012. a
Bergstra, J. and Bengio, Y.: Random search for
hyper-parameter optimization, J. Mach. Learn. Res., 13, 281–305, 2012. a
Biele, J., Tsias, A., Luo, B. P., Carslaw, K. S., Neuber, R., Beyerle, G., and Peter, T.:
Nonequilibrium coexistence of solid and liquid particles in Arctic stratospheric clouds,
J. Geophys. Res.-Atmos., 106, 22991–23007, https://doi.org/10.1029/2001jd900188, 2001. a
Bolón-Canedo, V., Sánchez-Maroño, N., and
Alonso-Betanzos, A.: Feature selection for high-dimensional data, Progress in Artificial
Intelligence, Springer-Verlag, Berlin, Heidelberg, https://doi.org/10.1007/s13748-015-0080-y, 2016. a
Brereton, R. G. and Lloyd, G. R.: Support Vector
Machines for classification and regression, The Analyst, 135, 230–267, https://doi.org/10.1039/b918972f,
2010. a
Browell, E. V., Butler, C. F., Ismail, S., Robinette, P. A., Carter,
A. F., Higdon, N. S., Toon, O. B., Schoeberl, M. R., and Tuck, A. F.: Airborne lidar observations
in the wintertime Arctic stratosphere: Polar stratospheric clouds, Geophys. Res. Lett., 17,
385–388, https://doi.org/10.1029/gl017i004p00385, 1990. a
Buontempo, C., Cairo, F., Di Donfrancesco, G., Morbidini, R.,
Viterbini, M., and Adriani, A.: Optical measurements of atmospheric particles from airborne
platforms: In situ and remote sensing instruments for balloons and aircrafts, Ann. Geophys., 49,
57–64, https://doi.org/10.4401/ag-3149, 2009. a
Campbell, J. R. and Sassen, K.: Polar
stratospheric clouds at the South Pole from 5 years of continuous lidar data: Macrophysical,
optical, and thermodynamic properties, J. Geophys. Res., 113, D20204, https://doi.org/10.1029/2007jd009680,
2008. a
Carslaw, K. S., Luo, B., and
Peter, T.: An analytic expression for the composition of aqueous HNO3-H2SO4
stratospheric aerosols including gas phase removal of HNO3, Geophys. Res. Lett., 22,
1877–1880, https://doi.org/10.1029/95gl01668, 1995. a, b
Cavallaro, G., Riedel, M., Richerzhagen, M., Benediktsson,
J. A., and Plaza, A.: On Understanding Big Data Impacts in Remotely Sensed Image Classification
Using Support Vector Machine Methods, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 8,
4634–4646, 2015. a
Ceriani, L. and Verme, P.: The origins of the Gini
index: extracts from Variabilità e Mutabilità (1912) by Corrado Gini, J. Econ. Inequal.,
10, 421–443, https://doi.org/10.1007/s10888-011-9188-x, 2012. a
Cortes, C. and Vapnik, V.: Support-Vector
Networks, Mach. Learn., 20, 273–297, https://doi.org/10.1023/A:1022627411411, 1995. a, b
Deshler, T.,
Larsen, N., Weissner, C., Schreiner, J., Mauersberger, K., Cairo, F., Adriani, A.,
Di Donfrancesco, G., Ovarlez, J., Ovarlez, H., Blum, U., Fricke, K. H., and Dornbrack, A.: Large
nitric acid particles at the top of an Arctic stratospheric cloud, J. Geophys. Res., 108, 4517,
https://doi.org/10.1029/2003JD003479, 2003. a
Dudhia, A., Morris, P. E., and
Wells, R. J.: Fast monochromatic radiative transfer calculations for limb sounding,
J. Quant. Spectrosc. Ra. T., 74, 745–756, 2002. a
ESA: MIPAS geo-located and calibrated atmospheric spectra
(ENVISAT.MIP.NL_1P), available at:
https://earth.esa.int/web/guest/-/mipas-localized-calibrated-emission-spectra-1541
last access: 10 December 2019. a
Estornell, J., Martí-Gavliá, J. M., Sebastiá, M. T.,
and Mengual, J.: Principal component analysis applied to remote sensing,
Model. Sci. Educ. Learn., 6, 83–89, https://doi.org/10.4995/msel.2013.1905, 2013. a
Fauvel, M.,
Chanussot, J., and Benediktsson, J. A.: Kernel principal component analysis for the
classification of hyperspectral remote sensing data over urban areas, Eurasip
J. Adv. Sign. Process., 2009, 783194, https://doi.org/10.1155/2009/783194, 2009. a
Fischer, H., Birk, M.,
Blom, C., Carli, B., Carlotti, M., von Clarmann, T., Delbouille, L., Dudhia, A., Ehhalt, D.,
Endemann, M., Flaud, J. M., Gessner, R., Kleinert, A., Koopman, R., Langen, J., López-Puertas,
M., Mosner, P., Nett, H., Oelhaf, H., Perron, G., Remedios, J., Ridolfi, M., Stiller, G., and
Zander, R.: MIPAS: an instrument for atmospheric and climate research, Atmos. Chem. Phys., 8,
2151–2188, https://doi.org/10.5194/acp-8-2151-2008, 2008. a
Fromm, M., Alfred, J.,
and Pitts, M.: A unified, long-term, high-latitude stratospheric aerosol and cloud database
using SAM II, SAGE II, and POAM II/III data: Algorithm description, database definition, and
climatology, J. Geophys. Res., 108, 4366, https://doi.org/10.1029/2002jd002772, 2003. a
Genton, M.: Classes of kernels for machine learning:
a statistics perspective, J. Mach. Learn. Res., 2, 299–312, 2002. a
Genuer,
R., Poggi, J.-M., Tuleau-Malot, C., and Villa-Vialaneix, N.: Random Forests for Big Data, Big Data
Res., 9, 28–46, https://doi.org/10.1016/j.bdr.2017.07.003, 2017. a
Griessbach, S., Hoffmann, L., Spang, R., and Riese, M.: Volcanic ash detection with infrared limb
sounding: MIPAS observations and radiative transfer simulations, Atmos. Meas. Tech., 7,
1487–1507, https://doi.org/10.5194/amt-7-1487-2014, 2014. a
Griessbach, S., Hoffmann, L., Spang, R., von Hobe, M., Müller, R.,
and Riese, M.: Infrared limb emission measurements of aerosol in the troposphere and stratosphere,
Atmos. Meas. Tech., 9, 4399–4423, https://doi.org/10.5194/amt-9-4399-2016, 2016. a, b
Griessbach, S., Hoffmann, L.,
Spang, R., Achtert, P., von Hobe, M., Mateshvili, N., Müller, R., Riese, M., Rolf, C.,
Seifert, P., and Vernier, J.-P.: Aerosol and cloud top height information of Envisat MIPAS
measurements, Atmos. Meas. Tech., 13, 1243–1271, https://doi.org/10.5194/amt-13-1243-2020, 2020. a
Hoffmann, L., Spang, R., Orr, A., Alexander, M. J., Holt, L. A., and Stein, O.: A decadal
satellite record of gravity wave activity in the lower stratosphere to study polar stratospheric
cloud formation, Atmos. Chem. Phys., 17, 2901–2920, https://doi.org/10.5194/acp-17-2901-2017,
2017. a, b
Höpfner, M., Larsen, N.,
Spang, R., Luo, B. P., Ma, J., Svendsen, S. H., Eckermann, S. D., Knudsen, B., Massoli, P., Cairo,
F., Stiller, G., v. Clarmann, T., and Fischer, H.: MIPAS detects Antarctic stratospheric belt of
NAT PSCs caused by mountain waves, Atmos. Chem. Phys., 6, 1221–1230,
https://doi.org/10.5194/acp-6-1221-2006, 2006. a
Höpfner,
M., Luo, B. P., Massoli, P., Cairo, F., Spang, R., Snels, M., Di Donfrancesco, G., Stiller, G.,
von Clarmann, T., Fischer, H., and Biermann, U.: Spectroscopic evidence for NAT, STS, and ice in
MIPAS infrared limb emission measurements of polar stratospheric clouds, Atmos. Chem. Phys., 6,
1201–1219, https://doi.org/10.5194/acp-6-1201-2006, 2006. a, b, c, d
Höpfner,
M., Pitts, M. C., and Poole, L. R.: Comparison between CALIPSO and MIPAS observations of polar
stratospheric clouds, J. Geophys. Res., 114, D00H05, https://doi.org/10.1029/2009JD012114, 2009. a
Huang, H.-L. and Antonelli, P.: Application of
Principal Component Analysis to High-Resolution Infrared Measurement Compression and Retrieval,
J. Appl. Meteorol., 40, 365–388,
https://doi.org/10.1175/1520-0450(2001)040<0365:AOPCAT>2.0.CO;2, 2001. a
Jolliffe, I. T. and Cadima, J.: Principal
component analysis: a review and recent developments, Philos. Trans. Roy. Soc. A-Math., 374,
20150 202, https://doi.org/10.1098/rsta.2015.0202, 2016. a, b
Khosrawi, F., Kirner, O., Stiller, G., Höpfner, M., Santee, M. L.,
Kellmann, S., and Braesicke, P.: Comparison of ECHAM5/MESSy Atmospheric Chemistry (EMAC)
simulations of the Arctic winter 2009/2010 and 2010/2011 with Envisat/MIPAS and Aura/MLS
observations, Atmos. Chem. Phys., 18, 8873–8892, https://doi.org/10.5194/acp-18-8873-2018, 2018. a
Kohavi, R.: A Study of Cross-Validation and Bootstrap for
Accuracy Estimation and Model Selection, International Joint Conference of Artificial
Intelligence, 14, 1137–1145, 1995. a
Lambert, A., Santee,
M. L., Wu, D. L., and Chae, J. H.: A-train CALIOP and MLS observations of early winter Antarctic
polar stratospheric clouds and nitric acid in 2008, Atmos. Chem. Phys., 12, 2899–2931,
https://doi.org/10.5194/acp-12-2899-2012, 2012. a
Liu, Y., Wang, Y., and Zhang, J.: New
Machine Learning Algorithm: Random Forest, in: Information Computing and Applications,
pp. 246–252, Springer, Berlin, Heidelberg, https://doi.org/10.1007/978-3-642-34062-8_32, 2012. a
Lowe, D. and MacKenzie, A. R.: Polar stratospheric
cloud microphysics and chemistry, J. Atm. Sol.-Terr. Phys., 70, 13–40,
https://doi.org/10.1016/j.jastp.2007.09.011, 2008. a
Molleker, S., Borrmann, S., Schlager, H., Luo, B.,
Frey, W., Klingebiel, M., Weigel, R., Ebert, M., Mitev, V., Matthey, R., Woiwode, W., Oelhaf, H.,
Dörnbrack, A., Stratmann, G., Grooß, J.-U., Günther, G., Vogel, B., Müller, R.,
Krämer, M., Meyer, J., and Cairo, F.: Microphysical properties of synoptic-scale polar
stratospheric clouds: in situ measurements of unexpectedly large HNO3-containing particles
in the Arctic vortex, Atmos. Chem. Phys., 14, 10785–10801,
https://doi.org/10.5194/acp-14-10785-2014, 2014. a
Offermann, D., Grossmann, K.-U., Barthol, P., Knieling, P., Riese, M., and
Trant, R.: Cryogenic Infrared Spectrometers and Telescopes for the Atmosphere (CRISTA)
experiment and middle atmosphere variability, J. Geophys. Res., 104, 16311–16325, 1999. a
Patle, A. and Chouhan, D. S.: SVM kernel functions
for classification, in: 2013 International Conference on Advances in Technology and Engineering
(ICATE), Mumbai, pp. 1–9, IEEE, https://doi.org/10.1109/icadte.2013.6524743, 2013. a
Pawson, S., Naujokat, B.,
and Labitzke, K.: On the polar stratospheric cloud formation potential of the northern
stratosphere, J. Geophys. Res., 100, 23215, https://doi.org/10.1029/95jd01918, 1995. a
Pitts, M. C., Poole, L. R., and
Thomason, L. W.: CALIPSO polar stratospheric cloud observations: second-generation detection
algorithm and composition discrimination, Atmos. Chem. Phys., 9, 7577–7589,
https://doi.org/10.5194/acp-9-7577-2009, 2009. a, b
Pitts, M. C.,
Poole, L. R., Dörnbrack, A., and Thomason, L. W.: The 2009–2010 Arctic polar stratospheric
cloud season: a CALIPSO perspective, Atmos. Chem. Phys., 11, 2161–2177,
https://doi.org/10.5194/acp-11-2161-2011, 2011. a
Pitts, M. C., Poole, L. R., and
Gonzalez, R.: Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements
from 2006 to 2017, Atmos. Chem. Phys., 18, 10881–10913, https://doi.org/10.5194/acp-18-10881-2018,
2018. a, b
Probst, P., Wright, M. N.,
and Boulesteix, A.-L.: Hyperparameters and tuning strategies for random forest, WIRES Data Mining
Knowledge Discovery, 9, e1301, https://doi.org/10.1002/widm.1301, 2019. a
Raspollini, P., Belotti, C., Burgess, A., Carli, B., Carlotti, M.,
Ceccherini, S., Dinelli, B. M., Dudhia, A., Flaud, J.-M., Funke, B., Höpfner, M.,
López-Puertas, M., Payne, V., Piccolo, C., Remedios, J. J., Ridolfi, M., and Spang, R.: MIPAS
level 2 operational analysis, Atmos. Chem. Phys., 6, 5605–5630,
https://doi.org/10.5194/acp-6-5605-2006, 2006. a
Raspollini, P., Carli, B., Carlotti, M., Ceccherini, S., Dehn, A.,
Dinelli, B. M., Dudhia, A., Flaud, J.-M., López-Puertas, M., Niro, F., Remedios, J. J.,
Ridolfi, M., Sembhi, H., Sgheri, L., and von Clarmann, T.: Ten years of MIPAS measurements with
ESA Level 2 processor V6 – Part 1: Retrieval algorithm and diagnostics of the products,
Atmos. Meas. Tech., 6, 2419–2439, https://doi.org/10.5194/amt-6-2419-2013, 2013. a
Riese, M., Friedl-Vallon, F., Spang, R.,
Preusse, P., Schiller, C., Hoffmann, L., Konopka, P., Oelhaf, H., von Clarmann, T., and
Höpfner, M.: GLObal limb Radiance Imager for the Atmosphere (GLORIA): Scientific
objectives, Adv. Space Res., 36, 989–995, 2005. a
Riese, M., Oelhaf, H., Preusse, P., Blank, J., Ern, M.,
Friedl-Vallon, F., Fischer, H., Guggenmoser, T., Höpfner, M., Hoor, P., Kaufmann, M., Orphal,
J., Plöger, F., Spang, R., Suminska-Ebersoldt, O., Ungermann, J., Vogel, B., and Woiwode, W.:
Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) scientific objectives,
Atmos. Meas. Tech., 7, 1915–1928, https://doi.org/10.5194/amt-7-1915-2014, 2014. a
Salawitch, R., Wofsy, S., Gottlieb, E., Lait, L., Newman, P.,
Schoeberl, M., Loewenstein, M., Podolske, J., Strahan, S., Proffitt, M., Webster, C., May, R.,
Fahey, D., Baumgardner, D., Dye, J., Wilson, J., Kelly, K., Elkins, J., Chan, K., and Anderson,
J.: Chemical Loss of Ozone in the Arctic Polar Vortex in the Winter of 1991–1992, Science, 261,
1146–1149, https://doi.org/10.1126/science.261.5125.1146, 1993. a
Schölkopf, B., Smola, A., and Müller,
K. R.: Kernel principal component analysis, in: Artificial Neural Networks – ICANN'97, edited by:
Gerstner, W., Germond, A., Hasler, M., Nicoud, J. D., ICANN 1997, Lecture Notes in Computer
Science, vol. 1327, Springer, Berlin, Heidelberg, pp. 583–588,
https://doi.org/10.1007/BFb0020217, 1997. a
Sedona, R.:
PSC MIPAS classification, available at: https://gitlab.com/rocco.sedona/psc_mipas_classification,
last access: 19 May 2020. a
Sembhi, H., Remedios, J., Trent, T., Moore, D. P., Spang, R., Massie, S.,
and Vernier, J.-P.: MIPAS detection of cloud and aerosol particle occurrence in the UTLS with
comparison to HIRDLS and CALIOP, Atmos. Meas. Tech., 5, 2537–2553,
https://doi.org/10.5194/amt-5-2537-2012, 2012. a, b
Solomon, S.: Stratospheric ozone depletion: A review of
concepts and history, Rev. Geophys., 37, 275–316, https://doi.org/10.1029/1999RG900008, 1999. a
Spang, R. and Remedios, J. J.: Observations of a
distinctive infra-red spectral feature in the atmospheric spectra of polar stratospheric clouds
measured by the CRISTA instrument, Geophys. Res. Lett., 30, 1875, https://doi.org/10.1029/2003GL017231,
2003. a, b
Spang,
R., Arndt, K., Dudhia, A., Höpfner, M., Hoffmann, L., Hurley, J., Grainger, R. G., Griessbach,
S., Poulsen, C., Remedios, J. J., Riese, M., Sembhi, H., Siddans, R., Waterfall, A., and Zehner,
C.: Fast cloud parameter retrievals of MIPAS/Envisat, Atmos. Chem. Phys., 12, 7135–7164,
https://doi.org/10.5194/acp-12-7135-2012, 2012. a, b
Spang, R., Hoffmann, L., Höpfner, M., Griessbach, S., Müller, R.,
Pitts, M. C., Orr, A. M. W., and Riese, M.: A multi-wavelength classification method for polar
stratospheric cloud types using infrared limb spectra, Atmos. Meas. Tech., 9, 3619–3639,
https://doi.org/10.5194/amt-9-3619-2016, 2016. a, b, c, d, e, f, g, h, i
Spang, R., Hoffmann, L., Müller, R., Grooß, J.-U., Tritscher, I.,
Höpfner, M., Pitts, M., Orr, A., and Riese, M.: A climatology of polar stratospheric cloud
composition between 2002 and 2012 based on MIPAS/Envisat observations, Atmos. Chem. Phys., 18,
5089–5113, https://doi.org/10.5194/acp-18-5089-2018, 2018. a
Stiller, G. P., Hoepfner, M., Kuntz, M., von
Clarmann, T., Echle, G., Fischer, H., Funke, B., Glatthor, N., Hase, F., Kemnitzer, H., and Zorn,
S.: Karlsruhe optimized and precise radiative transfer algorithm. Part I: requirements,
justification, and model error estimation, in: Optical Remote Sensing of the Atmosphere and
Clouds, Proc. SPIE, 3501, https://doi.org/10.1117/12.317754, 1998. a
Tharwat, A.: Classification assessment methods,
Appl. Comput. Inf., in press, https://doi.org/10.1016/j.aci.2018.08.003, 2018. a
Toon, O. B., Browell,
E. V., Kinne, S., and Jordan, J.: An analysis of lidar observations of polar stratospheric clouds,
Geophys. Res. Lett., 17, 393–396, https://doi.org/10.1029/gl017i004p00393, 1990. a
Tritscher, I., Grooß, J.-U., Spang, R., Pitts, M. C., Poole, L. R.,
Müller, R., and Riese, M.: Lagrangian simulation of ice particles and resulting dehydration in
the polar winter stratosphere, Atmos. Chem. Phys., 19, 543–563, https://doi.org/10.5194/acp-19-543-2019,
2019. a
Ungermann, J., Kaufmann, M., Hoffmann, L., Preusse, P., Oelhaf, H.,
Friedl-Vallon, F., and Riese, M.: Towards a 3-D tomographic retrieval for the air-borne
limb-imager GLORIA, Atmos. Meas. Tech., 3, 1647–1665, https://doi.org/10.5194/amt-3-1647-2010,
2010. a
Voigt, C.: Nitric Acid Trihydrate (NAT) in Polar Stratospheric
Clouds, Science, 290, 1756–1758, https://doi.org/10.1126/science.290.5497.1756, 2000. a
Wolpert, D. H.: The Lack of A Priori Distinctions Between
Learning Algorithms, Neural Comput., 8, 1341–1390, https://doi.org/10.1162/neco.1996.8.7.1341, 1996. a
Zeiler, M. D. and Fergus, R.: Visualizing and
understanding convolutional networks, in: Lecture Notes in Computer Science (including
subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), available
at: https://doi.org/10.1007/978-3-319-10590-1_53, 2014. a
Short summary
Polar stratospheric clouds (PSCs) play a key role in polar ozone depletion in the stratosphere. In this paper, we explore the potential of applying machine learning (ML) methods to classify PSC observations of infrared spectra to classify PSC types. ML methods have proved to reach results in line with those obtained using well-established approaches. Among the considered ML methods, random forest (RF) seems to be the most promising one, being able to produce explainable classification results.
Polar stratospheric clouds (PSCs) play a key role in polar ozone depletion in the stratosphere....