Articles | Volume 22, issue 10
https://doi.org/10.5194/acp-22-6677-2022
© 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/acp-22-6677-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A global view on stratospheric ice clouds: assessment of processes related to their occurrence based on satellite observations
Ling Zou
CORRESPONDING AUTHOR
Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Jülich, Germany
Sabine Griessbach
Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Jülich, Germany
Lars Hoffmann
Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Jülich, Germany
Reinhold Spang
Institute of Energy and Climate Research (IEK-7), Forschungszentrum Jülich, Jülich, Germany
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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
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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.
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
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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.
Ling Zou, Lars Hoffmann, Sabine Griessbach, Reinhold Spang, and Lunche Wang
Atmos. Chem. Phys., 21, 10457–10475, https://doi.org/10.5194/acp-21-10457-2021, https://doi.org/10.5194/acp-21-10457-2021, 2021
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Ice clouds in the lowermost stratosphere (SICs) have important impacts on the radiation budget and climate change. We quantified the occurrence of SICs over North America and analysed its relations with convective systems and gravity waves to investigate potential formation mechanisms of SICs. Deep convection is proved to be the primary factor linked to the occurrence of SICs over North America.
Ling Zou, Sabine Griessbach, Lars Hoffmann, Bing Gong, and Lunche Wang
Atmos. Chem. Phys., 20, 9939–9959, https://doi.org/10.5194/acp-20-9939-2020, https://doi.org/10.5194/acp-20-9939-2020, 2020
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Cirrus clouds appearing in the upper troposphere and lower stratosphere have important impacts on the radiation budget and climate change. We revisited global stratospheric cirrus clouds with CALIPSO and for the first time with MIPAS satellite observations. Stratospheric cirrus clouds related to deep convection are frequently detected in the tropics. At middle latitudes, MIPAS detects more than twice as many stratospheric cirrus clouds due to higher detection sensitivity.
Farahnaz Khosrawi and Lars Hoffmann
EGUsphere, https://doi.org/10.5194/egusphere-2025-3147, https://doi.org/10.5194/egusphere-2025-3147, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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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.
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
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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.
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
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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.
Martina Krämer, Nicole Spelten, Christian Rolf, and Reinhold Spang
EGUsphere, https://doi.org/10.5194/egusphere-2025-669, https://doi.org/10.5194/egusphere-2025-669, 2025
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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.
Peter G. Berthelemy, Corwin J. Wright, Neil P. Hindley, Phoebe E. Noble, and Lars Hoffmann
EGUsphere, https://doi.org/10.5194/egusphere-2025-455, https://doi.org/10.5194/egusphere-2025-455, 2025
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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
EGUsphere, https://doi.org/10.5194/egusphere-2024-3746, https://doi.org/10.5194/egusphere-2024-3746, 2025
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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.
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
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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.
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
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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
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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.
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
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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
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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
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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
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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
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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
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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
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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
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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.
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
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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.
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
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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
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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.
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
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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
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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.
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
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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.
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
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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.
Corwin J. Wright, Neil P. Hindley, M. Joan Alexander, Laura A. Holt, and Lars Hoffmann
Atmos. Meas. Tech., 14, 5873–5886, https://doi.org/10.5194/amt-14-5873-2021, https://doi.org/10.5194/amt-14-5873-2021, 2021
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Measuring atmospheric gravity waves in low vertical-resolution data is technically challenging, especially when the waves are significantly longer in the vertical than in the length of the measurement domain. We introduce and demonstrate a modification to the existing Stockwell transform methods of characterising these waves that address these problems, with no apparent reduction in the other capabilities of the technique.
Ling Zou, Lars Hoffmann, Sabine Griessbach, Reinhold Spang, and Lunche Wang
Atmos. Chem. Phys., 21, 10457–10475, https://doi.org/10.5194/acp-21-10457-2021, https://doi.org/10.5194/acp-21-10457-2021, 2021
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Ice clouds in the lowermost stratosphere (SICs) have important impacts on the radiation budget and climate change. We quantified the occurrence of SICs over North America and analysed its relations with convective systems and gravity waves to investigate potential formation mechanisms of SICs. Deep convection is proved to be the primary factor linked to the occurrence of SICs over North America.
Michael Weimer, Jennifer Buchmüller, Lars Hoffmann, Ole Kirner, Beiping Luo, Roland Ruhnke, Michael Steiner, Ines Tritscher, and Peter Braesicke
Atmos. Chem. Phys., 21, 9515–9543, https://doi.org/10.5194/acp-21-9515-2021, https://doi.org/10.5194/acp-21-9515-2021, 2021
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We show that we are able to directly simulate polar stratospheric clouds formed locally in a mountain wave and represent their effect on the ozone chemistry with the global atmospheric chemistry model ICON-ART. Thus, we show the first simulations that close the gap between directly resolved mountain-wave-induced polar stratospheric clouds and their representation at coarse global resolutions.
Neil P. Hindley, Corwin J. Wright, Alan M. Gadian, Lars Hoffmann, John K. Hughes, David R. Jackson, John C. King, Nicholas J. Mitchell, Tracy Moffat-Griffin, Andrew C. Moss, Simon B. Vosper, and Andrew N. Ross
Atmos. Chem. Phys., 21, 7695–7722, https://doi.org/10.5194/acp-21-7695-2021, https://doi.org/10.5194/acp-21-7695-2021, 2021
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One limitation of numerical atmospheric models is spatial resolution. For atmospheric gravity waves (GWs) generated over small mountainous islands, the driving effect of these waves on atmospheric circulations can be underestimated. Here we use a specialised high-resolution model over South Georgia island to compare simulated stratospheric GWs to colocated 3-D satellite observations. We find reasonable model agreement with observations, with some GW amplitudes much larger than expected.
Irene Bartolome Garcia, Reinhold Spang, Jörn Ungermann, Sabine Griessbach, Martina Krämer, Michael Höpfner, and Martin Riese
Atmos. Meas. Tech., 14, 3153–3168, https://doi.org/10.5194/amt-14-3153-2021, https://doi.org/10.5194/amt-14-3153-2021, 2021
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Cirrus clouds contribute to the general radiation budget of the Earth. Measuring optically thin clouds is challenging but the IR limb sounder GLORIA possesses the necessary technical characteristics to make it possible. This study analyses data from the WISE campaign obtained with GLORIA. We developed a cloud detection method and derived characteristics of the observed cirrus-like cloud top, cloud bottom or position with respect to the tropopause.
Christoph Kalicinsky, Sabine Griessbach, and Reinhold Spang
Atmos. Meas. Tech., 14, 1893–1915, https://doi.org/10.5194/amt-14-1893-2021, https://doi.org/10.5194/amt-14-1893-2021, 2021
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For an airborne viewing geometry, radiative transfer simulations of infrared limb emission spectra in the presence of polar stratospheric clouds – nitric acid trihydrate (NAT), supercooled ternary solution, ice, and mixtures – were used to develop a size-sensitive NAT detection algorithm. Characteristic size-dependent spectral features in the 810–820 cm−1 region were exploited to subgroup the NAT into three size regimes: small NAT (≤ 1.0 μm), medium NAT (1.5–4.0 μm), and large NAT (≥ 3.5 μm).
Jörn Ungermann, Irene Bartolome, Sabine Griessbach, Reinhold Spang, Christian Rolf, Martina Krämer, Michael Höpfner, and Martin Riese
Atmos. Meas. Tech., 13, 7025–7045, https://doi.org/10.5194/amt-13-7025-2020, https://doi.org/10.5194/amt-13-7025-2020, 2020
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This study examines the potential of new IR limb imager instruments and tomographic methods for cloud detection purposes. Simple color-ratio-based methods are examined and compared against more involved nonlinear convex optimization. In a second part, 3-D measurements of the airborne limb sounder GLORIA taken during the Wave-driven ISentropic Exchange campaign are used to exemplarily derive the location and extent of small-scale cirrus clouds with high spatial accuracy.
Andrew Orr, J. Scott Hosking, Aymeric Delon, Lars Hoffmann, Reinhold Spang, Tracy Moffat-Griffin, James Keeble, Nathan Luke Abraham, and Peter Braesicke
Atmos. Chem. Phys., 20, 12483–12497, https://doi.org/10.5194/acp-20-12483-2020, https://doi.org/10.5194/acp-20-12483-2020, 2020
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Polar stratospheric clouds (PSCs) are clouds found in the Antarctic winter stratosphere and are implicated in the formation of the ozone hole. These clouds can sometimes be formed or enhanced by mountain waves, formed as air passes over hills or mountains. However, this important mechanism is missing in coarse-resolution climate models, limiting our ability to simulate ozone. This study examines an attempt to include the effects of mountain waves and their impact on PSCs and ozone.
Isabell Krisch, Manfred Ern, Lars Hoffmann, Peter Preusse, Cornelia Strube, Jörn Ungermann, Wolfgang Woiwode, and Martin Riese
Atmos. Chem. Phys., 20, 11469–11490, https://doi.org/10.5194/acp-20-11469-2020, https://doi.org/10.5194/acp-20-11469-2020, 2020
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In 2016, a scientific research flight above Scandinavia acquired various atmospheric data (temperature, gas composition, etc.). Through advanced 3-D reconstruction methods, a superposition of multiple gravity waves was identified. An in-depth analysis enabled the characterisation of these waves as well as the identification of their sources. This work will enable a better understanding of atmosphere dynamics and could lead to improved climate projections.
Ling Zou, Sabine Griessbach, Lars Hoffmann, Bing Gong, and Lunche Wang
Atmos. Chem. Phys., 20, 9939–9959, https://doi.org/10.5194/acp-20-9939-2020, https://doi.org/10.5194/acp-20-9939-2020, 2020
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Cirrus clouds appearing in the upper troposphere and lower stratosphere have important impacts on the radiation budget and climate change. We revisited global stratospheric cirrus clouds with CALIPSO and for the first time with MIPAS satellite observations. Stratospheric cirrus clouds related to deep convection are frequently detected in the tropics. At middle latitudes, MIPAS detects more than twice as many stratospheric cirrus clouds due to higher detection sensitivity.
Cited articles
Abhik, S., Hendon, H. H., and Wheeler, M. C.: On the Sensitivity of
Convectively Coupled Equatorial Waves to the Quasi-Biennial Oscillation,
J. Climate, 32, 5833–5847, https://doi.org/10.1175/JCLI-D-19-0010.1, 2019. a
Andersson, S. M., Martinsson, B. G., Friberg, J., Brenninkmeijer, C. A. M., Rauthe-Schöch, A., Hermann, M., van Velthoven, P. F. J., and Zahn, A.: Composition and evolution of volcanic aerosol from eruptions of Kasatochi, Sarychev and Eyjafjallajökull in 2008–2010 based on CARIBIC observations, Atmos. Chem. Phys., 13, 1781–1796, https://doi.org/10.5194/acp-13-1781-2013, 2013. a
Ansmann, A., Baars, H., Chudnovsky, A., Mattis, I., Veselovskii, I., Haarig, M., Seifert, P., Engelmann, R., and Wandinger, U.: Extreme levels of Canadian wildfire smoke in the stratosphere over central Europe on 21–22 August 2017, Atmos. Chem. Phys., 18, 11831–11845, https://doi.org/10.5194/acp-18-11831-2018, 2018. a
Aumann, H. H., Gregorich, D., Gaiser, S., Hagan, D., Pagano, T., Strow, L., and
Ting, D.: AIRS Algorithm Theoretical Basis Document Level 1B Part 1:
Infrared Spectrometer, Tech. rep., NASA, https://eospso.gsfc.nasa.gov/sites/default/files/atbd/AIRS_L1B_ATBD_Part_1.pdf
(last access: 1 March 2021),
2000. a
Aumann, H. H., Chahine, M. T., Gautier, C., Goldberg, M. D., Kalnay, E.,
McMillin, L. M., Revercomb, H., Rosenkranz, P. W., Smith, W. L., Staelin,
D. H., Strow, L. L., and Susskind, J.: AIRS/AMSU/HSB on the aqua mission:
Design, science objectives, data products, and processing systems, IEEE
T. Geosci. Remote, 41, 253–263,
https://doi.org/10.1109/TGRS.2002.808356, 2003. a
Aumann, H. H., Gregorich, D., and De Souza-Machado, S. M.: AIRS observations
of deep convective clouds, in: Atmospheric and Environmental Remote Sensing
Data Processing and Utilization II: Perspective on Calibration/Validation
Initiatives and Strategies, 6301, 63010J, SPIE,
https://doi.org/10.1117/12.681201, 2006. a, b
Aumann, H. H., DeSouza-Machado, S. G., and Behrangi, A.: Deep convective clouds at the tropopause, Atmos. Chem. Phys., 11, 1167–1176, https://doi.org/10.5194/acp-11-1167-2011, 2011. a
Avery, M. A., Davis, S. M., Rosenlof, K. H., Ye, H., and Dessler, A. E.: Large
anomalies in lower stratospheric water vapour and ice during the 2015–2016
El Niño, Nature Geosci., 10, 405–409, https://doi.org/10.1038/ngeo2961, 2017. a
Barahona, D., Molod, A., and Kalesse, H.: Direct estimation of the global
distribution of vertical velocity within cirrus clouds, Sci. Rep.,
7, 1–11, https://doi.org/10.1038/s41598-017-07038-6, 2017. a
Bartolome Garcia, I., Spang, R., Ungermann, J., Griessbach, S., Krämer, M., Höpfner, M., and Riese, M.: Observation of cirrus clouds with GLORIA during the WISE campaign: detection methods and cirrus characterization, Atmos. Meas. Tech., 14, 3153–3168, https://doi.org/10.5194/amt-14-3153-2021, 2021. a
Bourassa, A. E., Robock, A., Randel, W. J., Deshler, T., Rieger, L. A., Lloyd,
N. D., Llewellyn, E. J. T., and Degenstein, D. A.: Large Volcanic Aerosol
Load in the Stratosphere Linked to Asian Monsoon Transport, Science, 337,
78–81, https://doi.org/10.1126/science.1219371, 2012. a, b
Chae, J. H. and Sherwood, S. C.: Annual temperature cycle of the tropical
tropopause: A simple model study, J. Geophys. Res.-Atmos., 112, D19111, https://doi.org/10.1029/2006JD007956, 2007. a
Chahine, M. T., Pagano, T. S., Aumann, H. H., Atlas, R., Barnet, C., Blaisdell,
J., Chen, L., Divakarla, M., Fetzer, E. J., Goldberg, M., Gautier, C.,
Granger, S., Hannon, S., Irion, F. W., Kakar, R., Kalnay, E., Lambrigtsen,
B. H., Lee, S. Y., Le Marshall, J., Mcmillan, W. W., Mcmillin, L., Olsen,
E. T., Revercomb, H., Rosenkranz, P., Smith, W. L., Staelin, D., Strow,
L. L., Susskind, J., Tobin, D., Wolf, W., and Zhou, L.: Improving weather
forecasting and providing new data on greenhouse gases, B.
Am. Meteorol. Soc., 87, 911–926, https://doi.org/10.1175/BAMS-87-7-911,
2006. a
Chang, K.-W. and L'Ecuyer, T.: Influence of gravity wave temperature anomalies and their vertical gradients on cirrus clouds in the tropical tropopause layer – a satellite-based view, Atmos. Chem. Phys., 20, 12499–12514, https://doi.org/10.5194/acp-20-12499-2020, 2020. a, b
Clarisse, L., Hurtmans, D., Clerbaux, C., Hadji-Lazaro, J., Ngadi, Y., and Coheur, P.-F.: Retrieval of sulphur dioxide from the infrared atmospheric sounding interferometer (IASI), Atmos. Meas. Tech., 5, 581–594, https://doi.org/10.5194/amt-5-581-2012, 2012. a
Clodman, J.: Some statistical aspects of cirrus cloud, Mon. Weather
Rev., 85, 37–41, https://doi.org/10.1175/1520-0493(1957)085<0037:SSAOCC>2.0.CO;2,
1957. a
Cooney, J. W., Bowman, K. P., Homeyer, C. R., and Fenske, T. M.: Ten Year
Analysis of Tropopause-Overshooting Convection Using GridRad Data, J. Geophys. Res.-Atmos., 123, 329–343, https://doi.org/10.1002/2017JD027718,
2018. a, b
Corradini, S., Merucci, L., Prata, A. J., and Piscini, A.: Volcanic ash and SO2
in the 2008 Kasatochi eruption: Retrievals comparison from different IR
satellite sensors, J. Geophys. Res.-Atmos., 115, D00L21,
https://doi.org/10.1029/2009JD013634, 2010. a
Corti, T., Luo, B. P., Fu, Q., Vömel, H., and Peter, T.: The impact of cirrus clouds on tropical troposphere-to-stratosphere transport, Atmos. Chem. Phys., 6, 2539–2547, https://doi.org/10.5194/acp-6-2539-2006, 2006. a
Cziczo, D. J., Froyd, K. D., Hoose, C., Jensen, E. J., Diao, M., Zondlo, M. A.,
Smith, J. B., Twohy, C. H., and Murphy, D. M.: Clarifying the Dominant
Sources and Mechanisms of Cirrus Cloud Formation, Science, 340, 1320–1324,
https://doi.org/10.1126/science.1234145, 2013. a, b
Dauhut, T., Noel, V., and Dion, I.-A.: The diurnal cycle of the clouds extending above the tropical tropopause observed by spaceborne lidar, Atmos. Chem. Phys., 20, 3921–3929, https://doi.org/10.5194/acp-20-3921-2020, 2020. a, b, c
de la Torre, A., Tsuda, T., Hajj, G., and Wickert, J.: A Global Distribution of
the Stratospheric Gravity Wave Activity from GPS Occultation Profiles with
SAC-C and CHAMP, J. Meteorol. Soc. Jpn., 82,
407–417, https://doi.org/10.2151/jmsj.2004.407, 2004. a
De Reus, M., Borrmann, S., Bansemer, A., Heymsfield, A. J., Weigel, R., Schiller, C., Mitev, V., Frey, W., Kunkel, D., Kürten, A., Curtius, J., Sitnikov, N. M., Ulanovsky, A., and Ravegnani, F.: Evidence for ice particles in the tropical stratosphere from in-situ measurements, Atmos. Chem. Phys., 9, 6775–6792, https://doi.org/10.5194/acp-9-6775-2009, 2009. a
Dessler, A. E.: Clouds and water vapor in the Northern Hemisphere summertime
stratosphere, J. Geophys. Res.-Atmos., 114, D00H09,
https://doi.org/10.1029/2009JD012075, 2009. a
Dinh, T., Durran, D. R., and Ackerman, T.: Cirrus and water vapor transport in the tropical tropopause layer – Part 1: A specific case modeling study, Atmos. Chem. Phys., 12, 9799–9815, https://doi.org/10.5194/acp-12-9799-2012, 2012. a
Dinh, T., Podglajen, A., Hertzog, A., Legras, B., and Plougonven, R.: Effect of gravity wave temperature fluctuations on homogeneous ice nucleation in the tropical tropopause layer, Atmos. Chem. Phys., 16, 35–46, https://doi.org/10.5194/acp-16-35-2016, 2016. a, b
Doeringer, D., Eldering, A., Boone, C. D., González Abad, G., and Bernath,
P. F.: Observation of sulfate aerosols and SO2 from the Sarychev volcanic
eruption using data from the Atmospheric Chemistry Experiment (ACE), J. Geophys. Res.-Atmos., 117, D03203,
https://doi.org/10.1029/2011JD016556, 2012. a
Eguchi, N. and Shiotani, M.: Intraseasonal variations of water vapor and cirrus
clouds in the tropical upper troposphere, J. Geophys. Res.-Atmos., 109, D12106, https://doi.org/10.1029/2003JD004314, 2004. a
Ern, M., Hoffmann, L., and Preusse, P.: Directional gravity wave momentum
fluxes in the stratosphere derived from high-resolution AIRS temperature
data, Geophys. Res. Lett., 44, 475–485, https://doi.org/10.1002/2016GL072007,
2017. a
Feng, P.-N. and Lin, H.: Modulation of the MJO-Related Teleconnections by the
QBO, J. Geophys. Res.-Atmos., 124, 12022–12033,
https://doi.org/10.1029/2019JD030878, 2019. a
Field, P. R. and Wood, R.: Precipitation and Cloud Structure in Midlatitude
Cyclones, J. Climate, 20, 233–254, https://doi.org/10.1175/JCLI3998.1, 2007. a
Froyd, K. D., Murphy, D. M., Lawson, P., Baumgardner, D., and Herman, R. L.: Aerosols that form subvisible cirrus at the tropical tropopause, Atmos. Chem. Phys., 10, 209–218, https://doi.org/10.5194/acp-10-209-2010, 2010. a
Fu, R., Hu, Y., Wright, J. S., Jiang, J. H., Dickinson, R. E., Chen, M.,
Filipiak, M., Read, W. G., Waters, J. W., and Wu, D. L.: Short circuit of
water vapor and polluted air to the global stratosphere by convective
transport over the Tibetan Plateau, P. Natl. Acad. Sci. USA, 103, 5664–5669, https://doi.org/10.1073/pnas.0601584103, 2006. a
Gasparini, B., Meyer, A., Neubauer, D., Münch, S., and Lohmann, U.: Cirrus
Cloud Properties as Seen by the CALIPSO Satellite and ECHAM-HAM Global
Climate Model, J. Climate, 31, 1983 – 2003,
https://doi.org/10.1175/JCLI-D-16-0608.1, 2018. a
Gettelman, A., Salby, M. L., and Sassi, F.: Distribution and influence of
convection in the tropical tropopause region, J. Geophys. Res.-Atmos., 107, D10, https://doi.org/10.1029/2001JD001048, 2002. a, b, c
Getzewich, B. J., Vaughan, M. A., Hunt, W. H., Avery, M. A., Powell, K. A., Tackett, J. L., Winker, D. M., Kar, J., Lee, K.-P., and Toth, T. D.: CALIPSO
lidar calibration at 532 nm: version 4 daytime algorithm, Atmos. Meas. Tech., 11, 6309–6326, https://doi.org/10.5194/amt-11-6309-2018, 2018. a
Global Volcanism Program: Volcanoes of the World, v. 4.10.0 (14 May 2021),
https://doi.org/10.5479/si.GVP.VOTW4-2013, 2013. 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
Haag, W. and Kärcher, B.: The impact of aerosols and gravity waves on cirrus
clouds at midlatitudes, J. Geophys. Res.-Atmos., 109,
D12202, https://doi.org/10.1029/2004JD004579, 2004. a
Hendon, H. H. and Woodberry, K.: The diurnal cycle of tropical convection,
J. Geophys. Res.-Atmos., 98, 16623–16637,
https://doi.org/10.1029/93JD00525, 1993. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons,
A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati,
G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M.,
Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P.,
Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global
reanalysis, Q. J. Roy. Meteor. Soc., 146,
1999–2049, https://doi.org/10.1002/qj.3803, 2020. a
Hoffmann, L.: AIRS/Aqua Observations of Gravity Waves, re3data.org – Registry
of Research Data Repositories [data set], https://doi.org/10.17616/R34J42, 2020. a
Hoffmann, L.: Reanalysis Tropopause Data Repository, re3data.org – Registry of
Research Data Repositories [data set], https://doi.org/10.17616/R31NJMOH, 2021a. a
Hoffmann, L.: AIRS/Aqua Observations of Volcanic Emissions, Forschungszentrum Jülich [data set],
https://doi.org/10.26165/JUELICH-DATA/VPHA3R, 2021b. a, b, c
Hoffmann, L. and Alexander, M. J.: Occurrence frequency of convective gravity
waves during the North American thunderstorm season, J. Geophys. Res.-Atmos., 115, 20111, https://doi.org/10.1029/2010JD014401, 2010. a, b, c
Hoffmann, L., Alexander, M. J., Clerbaux, C., Grimsdell, A. W., Meyer, C. I., Rößler, T., and Tournier, B.: Intercomparison of stratospheric gravity wave observations with AIRS and IASI, Atmos. Meas. Tech., 7, 4517–4537, https://doi.org/10.5194/amt-7-4517-2014, 2014a. a, b
Hoffmann, L., Griessbach, S., and Meyer, C. I.: Volcanic emissions from AIRS
observations: detection methods, case study, and statistical analysis, in:
Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric
Propagation and Adaptive Systems XVII, SPIE, 9242, 924214,
https://doi.org/10.1117/12.2066326, 2014b. a, b
Hoffmann, L., Rößler, T., Griessbach, S., Heng, Y., and Stein, O.:
Lagrangian transport simulations of volcanic sulfur dioxide emissions:
Impact of meteorological data products, J. Geophys. Res.,
121, 4651–4673, https://doi.org/10.1002/2015JD023749, 2016. a
Hoffmann, L., Wu, X., and Alexander, M. J.: Satellite Observations of
Stratospheric Gravity Waves Associated With the Intensification of Tropical
Cyclones, Geophys. Res. Lett., 45, 1692–1700,
https://doi.org/10.1002/2017GL076123, 2018. a
Hohenegger, C. and Stevens, B.: Controls on and impacts of the diurnal cycle of
deep convective precipitation, J. Adv. Model. Earth Sy.,
5, 801–815, https://doi.org/10.1002/2012MS000216, 2013. a
Holton, J. R. and Gettelman, A.: Horizontal transport and the dehydration of
the stratosphere, Geophys. Res. Lett., 28, 2799–2802,
https://doi.org/10.1029/2001GL013148, 2001. a
Homeyer, C. R., Pan, L. L., and Barth, M. C.: Transport from convective
overshooting of the extratropical tropopause and the role of large-scale
lower stratosphere stability, J. Geophys. Res.-Atmos.,
119, 2220–2240, https://doi.org/10.1002/2013JD020931, 2014. a, b, c
Homeyer, C. R., McAuliffe, J. D., and Bedka, K. M.: On the Development of
Above-Anvil Cirrus Plumes in Extratropical Convection, J. Atmos. Sci., 74, 1617–1633, https://doi.org/10.1175/JAS-D-16-0269.1, 2017. a, b
Jain, S., Jain, A. R., and Mandal, T. K.: Role of convection in hydration of tropical UTLS: implication of AURA MLS long-term observations, Ann. Geophys., 31, 967–981, https://doi.org/10.5194/angeo-31-967-2013, 2013. a
Jensen, E. and Pfister, L.: Transport and freeze-drying in the tropical
tropopause layer, J. Geophys. Res.-Atmos., 109,
D02207, https://doi.org/10.1029/2003JD004022, 2004. a
Jensen, E. J., Pfister, L., Bui, T.-P., Lawson, P., and Baumgardner, D.: Ice nucleation and cloud microphysical properties in tropical tropopause layer cirrus, Atmos. Chem. Phys., 10, 1369–1384, https://doi.org/10.5194/acp-10-1369-2010, 2010. a
Jensen, E. J., Pfister, L., and Toon, O. B.: Impact of radiative heating, wind
shear, temperature variability, and microphysical processes on the structure
and evolution of thin cirrus in the tropical tropopause layer, J. Geophys. Res.-Atmos., 116, D12209, https://doi.org/10.1029/2010JD015417,
2011. a, b
Jensen, E. J., Ueyama, R., Pfister, L., Bui, T. V., Alexander, M. J.,
Podglajen, A., Hertzog, A., Woods, S., Lawson, R. P., Kim, J.-E., and
Schoeberl, M. R.: High-frequency gravity waves and homogeneous ice nucleation
in tropical tropopause layer cirrus, Geophys. Res. Lett., 43,
6629–6635, https://doi.org/10.1002/2016GL069426, 2016. a, b
Kärcher, B.: Cirrus Clouds and Their Response to Anthropogenic Activities, Curr. Clim. Change Rep., 3,
45–57, https://doi.org/10.1007/s40641-017-0060-3, 2017. a
Kärcher, B. and Ström, J.: The roles of dynamical variability and aerosols in cirrus cloud formation, Atmos. Chem. Phys., 3, 823–838, https://doi.org/10.5194/acp-3-823-2003, 2003. a
Keckhut, P., Hauchecorne, A., Bekki, S., Colette, A., David, C., and Jumelet, J.: Indications of thin cirrus clouds in the stratosphere at mid-latitudes, Atmos. Chem. Phys., 5, 3407–3414, https://doi.org/10.5194/acp-5-3407-2005, 2005. a
Kim, J.-E., Alexander, M. J., Bui, T. P., Dean-Day, J. M., Lawson, R. P.,
Woods, S., Hlavka, D., Pfister, L., and Jensen, E. J.: Ubiquitous influence
of waves on tropical high cirrus clouds, Geophys. Res. Lett., 43,
5895–5901, https://doi.org/10.1002/2016GL069293, 2016. a, b
Klüser, L., Erbertseder, T., and Meyer-Arnek, J.: Observation of volcanic ash from Puyehue–Cordón Caulle with IASI, Atmos. Meas. Tech., 6, 35–46, https://doi.org/10.5194/amt-6-35-2013, 2013. a, b
Lee, S. S. and Penner, J. E.: Aerosol effects on ice clouds: can the traditional concept of aerosol indirect effects be applied to aerosol-cloud interactions in cirrus clouds?, Atmos. Chem. Phys., 10, 10345–10358, https://doi.org/10.5194/acp-10-10345-2010, 2010. a
Liou, K.-N.: Influence of Cirrus Clouds on Weather and Climate Processes: A
Global Perspective, Mon. Weather Rev., 114, 1167–1199,
https://doi.org/10.1175/1520-0493(1986)114<1167:ioccow>2.0.co;2, 1986. a, b
Liu, Z., Kar, J., Zeng, S., Tackett, J., Vaughan, M., Avery, M., Pelon, J., Getzewich, B., Lee, K.-P., Magill, B., Omar, A., Lucker, P., Trepte, C., and Winker, D.: Discriminating between clouds and aerosols in the CALIOP version 4.1 data products, Atmos. Meas. Tech., 12, 703–734, https://doi.org/10.5194/amt-12-703-2019, 2019. a, b, c
Lohmann, U. and Feichter, J.: Global indirect aerosol effects: a review, Atmos. Chem. Phys., 5, 715–737, https://doi.org/10.5194/acp-5-715-2005, 2005. a
Lohmann, U., Kärcher, B., and Timmreck, C.: Impact of the Mount Pinatubo
eruption on cirrus clouds formed by homogeneous freezing in the ECHAM4 GCM,
J. Geophys. Res.-Atmos., 108, D18,
https://doi.org/10.1029/2002JD003185, 2003. a
Lolli, S., Madonna, F., Rosoldi, M., Campbell, J. R., Welton, E. J., Lewis, J. R., Gu, Y., and Pappalardo, G.: Impact of varying lidar measurement and data processing techniques in evaluating cirrus cloud and aerosol direct radiative effects, Atmos. Meas. Tech., 11, 1639–1651, https://doi.org/10.5194/amt-11-1639-2018, 2018. a
Mace, G. G., Deng, M., Soden, B., and Zipser, E.: Association of Tropical Cirrus in the 10–15-km Layer with Deep Convective Sources: An Observational Study Combining Millimeter Radar Data and Satellite-Derived Trajectories, J. Atmos. Sci.,
63, 480–503, https://doi.org/10.1175/JAS3627.1, 2006. a, b
Massie, S., Gettelman, A., Randel, W., and Baumgardner, D.: Distribution of
tropical cirrus in relation to convection, J. Geophys. Res.-Atmos., 107, 4591, https://doi.org/10.1029/2001JD001293, 2002. a
Meyer, C. I., Ern, M., Hoffmann, L., Trinh, Q. T., and Alexander, M. J.: Intercomparison of AIRS and HIRDLS stratospheric gravity wave observations, Atmos. Meas. Tech., 11, 215–232, https://doi.org/10.5194/amt-11-215-2018, 2018. a
Munchak, L. A. and Pan, L. L.: Separation of the lapse rate and the cold point
tropopauses in the tropics and the resulting impact on cloud top-tropopause
relationships, J. Geophys. Res.-Atmos., 119, 7963–7978,
https://doi.org/10.1002/2013JD021189, 2014. a
Murgatroyd, R. J. and Goldsmith, P.: High cloud over southern England,
Nature, 178, 788, https://doi.org/10.1038/178788a0, 1956. a
Nesbitt, S. W. and Zipser, E. J.: The Diurnal Cycle of Rainfall and Convective
Intensity according to Three Years of TRMM Measurements, J. Climate,
16, 1456–1475, https://doi.org/10.1175/1520-0442(2003)016<1456:TDCORA>2.0.CO;2,
2003. a
Noel, V., Chepfer, H., Hoareau, C., Reverdy, M., and Cesana, G.: Effects of solar activity on noise in CALIOP profiles above the South Atlantic Anomaly, Atmos. Meas. Tech., 7, 1597–1603, https://doi.org/10.5194/amt-7-1597-2014, 2014. a
Ohneiser, K., Ansmann, A., Engelmann, R., Ritter, C., Chudnovsky, A.,
Veselovskii, I., Baars, H., Gebauer, H., Griesche, H., Radenz, M., Hofer, J.,
Althausen, D., Dahlke, S., and Maturilli, M.: Siberian fire smoke in the
High-Arctic winter stratosphere observed during MOSAiC 2019–2020,
Atmos. Chem. Phys. Discussions, 2021, 1–36,
https://doi.org/10.5194/acp-2021-117, 2021. a
Pan, L. L. and Munchak, L. A.: Relationship of cloud top to the tropopause and
jet structure from CALIPSO data, J. Geophys. Res.-Atmos., 116, 1–17, https://doi.org/10.1029/2010JD015462, 2011. a, b
Peevey, T. R., Gille, J. C., Randall, C. E., and Kunz, A.: Investigation of
double tropopause spatial and temporal global variability utilizing High
Resolution Dynamics Limb Sounder temperature observations, J. Geophys. Res.-Atmos., 117, D01105, https://doi.org/10.1029/2011JD016443, 2012. a, b
Podglajen, A., Plougonven, R., Hertzog, A., and Jensen, E.: Impact of gravity waves on the motion and distribution of atmospheric ice particles, Atmos. Chem. Phys., 18, 10799–10823, https://doi.org/10.5194/acp-18-10799-2018, 2018. a
Prata, A. J., Gangale, G., Clarisse, L., and Karagulian, F.: Ash and sulfur
dioxide in the 2008 eruptions of Okmok and Kasatochi: Insights from high
spectral resolution satellite measurements, J. Geophys. Res.-Atmos., 115, D00L18, https://doi.org/10.1029/2009JD013556, 2010. a
Pruppacher, H. R., Klett, J. D., and Wang, P. K.: Microphysics of Clouds and Precipitation, Aerosol Sci. Tech., 28, 381–382, https://doi.org/10.1080/02786829808965531, 1998. a
Randel, W. J., Seidel, D. J., and Pan, L. L.: Observational characteristics of
double tropopauses, J. Geophys. Res.-Atmos., 112,
D07309, https://doi.org/10.1029/2006JD007904, 2007. a, b, c
Sandhya, M., Sridharan, S., Indira Devi, M., Niranjan, K., and Jayaraman, A.: A case study of formation and maintenance of a lower stratospheric cirrus cloud over the tropics, Ann. Geophys., 33, 599–608, https://doi.org/10.5194/angeo-33-599-2015, 2015. a
Schoeberl, M. R. and Dessler, A. E.: Dehydration of the stratosphere, Atmos. Chem. Phys., 11, 8433–8446, https://doi.org/10.5194/acp-11-8433-2011, 2011. a
Schoeberl, M. R., Jensen, E. J., and Woods, S.: Gravity waves amplify upper
tropospheric dehydration by clouds, Earth Space Sci., 2, 485–500,
https://doi.org/10.1002/2015EA000127, 2015. a, b
Schoeberl, M. R., Jensen, E. J., Pfister, L., Ueyama, R., Wang, T., Selkirk,
H., Avery, M., Thornberry, T., and Dessler, A. E.: Water Vapor, Clouds, and
Saturation in the Tropical Tropopause Layer, J. Geophys. Res.-Atmos., 124, 3984–4003, https://doi.org/10.1029/2018JD029849, 2019. a
Schwartz, M. J., Manney, G. L., Hegglin, M. I., Livesey, N. J., Santee, M. L.,
and Daffer, W. H.: Climatology and variability of trace gases in
extratropical double-tropopause regions from MLS, HIRDLS, and ACE-FTS
measurements, J. Geophys. Res.-Atmos., 120, 843–867,
https://doi.org/10.1002/2014JD021964, 2015. a
Sherwood, S. C., Horinouchi, T., and Zeleznik, H. A.: Convective Impact on
Temperatures Observed near the Tropical Tropopause, J. Atmos. Sci., 60, 1847–1856,
https://doi.org/10.1175/1520-0469(2003)060<1847:CIOTON>2.0.CO;2, 2003. a
Solomon, D. L., Bowman, K. P., and Homeyer, C. R.: Tropopause-Penetrating
Convection from Three-Dimensional Gridded NEXRAD Data, J. Appl. Meteorol. Clim., 55, 465–478, https://doi.org/10.1175/JAMC-D-15-0190.1,
2016. a
Spang, R., Günther, G., Riese, M., Hoffmann, L., Müller, R., and Griessbach, S.: Satellite observations of cirrus clouds in the Northern Hemisphere lowermost stratosphere, Atmos. Chem. Phys., 15, 927–950, https://doi.org/10.5194/acp-15-927-2015, 2015. a, b, c
Taylor, J. R., Randel, W. J., and Jensen, E. J.: Cirrus cloud-temperature interactions in the tropical tropopause layer: a case study, Atmos. Chem. Phys., 11, 10085–10095, https://doi.org/10.5194/acp-11-10085-2011, 2011. a
Tegtmeier, S., Anstey, J., Davis, S., Dragani, R., Harada, Y., Ivanciu, I., Pilch Kedzierski, R., Krüger, K., Legras, B., Long, C., Wang, J. S., Wargan, K., and Wright, J. S.: Temperature and tropopause characteristics from reanalyses data in the tropical tropopause layer, Atmos. Chem. Phys., 20, 753–770, https://doi.org/10.5194/acp-20-753-2020, 2020a. a, b
Tegtmeier, S., Anstey, J., Davis, S., Ivanciu, I., Jia, Y., McPhee, D., and
Pilch Kedzierski, R.: Zonal Asymmetry of the QBO Temperature Signal in the
Tropical Tropopause Region, Geophys. Res. Lett., 47,
e2020GL089533, https://doi.org/10.1029/2020GL089533, 2020b. a
Tian, B., Waliser, D. E., and Fetzer, E. J.: Modulation of the diurnal cycle of
tropical deep convective clouds by the MJO, Geophys. Res. Lett., 33,
L20704, https://doi.org/10.1029/2006GL027752, 2006. a
Trier, S. B. and Sharman, R. D.: Mechanisms Influencing Cirrus Banding and
Aviation Turbulence near a Convectively Enhanced Upper-Level Jet Stream,
Mon. Weather Rev., 144, 3003–3027, https://doi.org/10.1175/MWR-D-16-0094.1,
2016. a
Trier, S. B., Sharman, R. D., Muñoz-Esparza, D., and Lane, T. P.: Environment
and Mechanisms of Severe Turbulence in a Midlatitude Cyclone, J. Atmos. Sci., 77, 3869–3889, https://doi.org/10.1175/JAS-D-20-0095.1, 2020. a
Tzella, A. and Legras, B.: A Lagrangian view of convective sources for transport of air across the Tropical Tropopause Layer: distribution, times and the radiative influence of clouds, Atmos. Chem. Phys., 11, 12517–12534, https://doi.org/10.5194/acp-11-12517-2011, 2011. a
Wang, P. H., Minnis, P., McCormick, M. P., Kent, G. S., and Skeens, K. M.: A
6-year climatology of cloud occurrence frequency from Stratospheric Aerosol
and Gas Experiment II observations (1985–1990), J. Geophys. Res.-Atmos., 101, 29407–29429, https://doi.org/10.1029/96jd01780, 1996. a
Wang, P. K., Cheng, K.-Y., Setvak, M., and Wang, C.-K.: The origin of the
gullwing-shaped cirrus above an Argentinian thunderstorm as seen in CALIPSO
images, J. Geophys. Res.-Atmos., 121, 3729–3738,
https://doi.org/10.1002/2015JD024111, 2016. a
Winker, D. M., Hunt, W. H., and McGill, M. J.: Initial performance assessment
of CALIOP, Geophys. Res. Lett., 34, L19803,
https://doi.org/10.1029/2007GL030135, 2007. a
Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z., Hunt,
W. H., and Young, S. A.: Overview of the CALIPSO mission and CALIOP data
processing algorithms, J. Atmos. Ocean. Tech., 26,
2310–2323, https://doi.org/10.1175/2009JTECHA1281.1, 2009.
a
WMO: Meteorology – a three-dimensional science: Second session for the
commisstion for aerology, WMO Bulletin, 6, 134–138, https://library.wmo.int/doc_num.php?explnum_id=6960 (last access: 20 August 2021), 1957. a
Wylie, D., Jackson, D. L., Menzel, W. P., and Bates, J. J.: Trends in global
cloud cover in two decades of HIRS observations, J. Climate, 18,
3021–3031, https://doi.org/10.1175/JCLI3461.1, 2005. a
Wylie, D. P., Menzel, W. P., Woolf, H. M., and Strabala, K. I.: Four years of
global cirrus cloud statistics using HIRS, J. Climate, 7,
1972–1986, https://doi.org/10.1175/1520-0442(1994)007<1972:FYOGCC>2.0.CO;2, 1994. a
Xian, T. and Homeyer, C. R.: Global tropopause altitudes in radiosondes and reanalyses, Atmos. Chem. Phys., 19, 5661–5678, https://doi.org/10.5194/acp-19-5661-2019, 2019. a
Zhou, C., Dessler, A. E., Zelinka, M. D., Yang, P., and Wang, T.: Cirrus
feedback on interannual climate fluctuations, Geophys. Res. Lett.,
41, 9166–9173, https://doi.org/10.1002/2014GL062095, 2014. a
Zou, L., Griessbach, S., Hoffmann, L., Gong, B., and Wang, L.: Revisiting global satellite observations of stratospheric cirrus clouds, Atmos. Chem. Phys., 20, 9939–9959, https://doi.org/10.5194/acp-20-9939-2020, 2020. a, b, c, d
Zou, L., Hoffmann, L., Griessbach, S., Spang, R., and Wang, L.: Empirical evidence for deep convection being a major source of stratospheric ice clouds over North America, Atmos. Chem. Phys., 21, 10457–10475, https://doi.org/10.5194/acp-21-10457-2021, 2021. a, b, c
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.
Ice clouds in the stratosphere (SICs) greatly affect the water vapor balance and radiation...
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