SDL Earth System Science
Computer science and information science aspects related to Earth System Science (ESS) are investigated in the SDL ESS and the research group Earth System Data Exploration.
SDL ESS’s goals are to investigate new software and programming concepts to enable compute- and data-intensive ESS on current and next-generation supercomputing architectures and to provide high-level user support for Earth system modeling (ESM) and large-scale data analytics. Closely collaborating with IT and hardware experts, the SDL enables Earth system scientists to conduct and analyze simulations with impact on the solution of challenges related to climate change, air pollution, and ecosystem functions. The SDL’s work program focuses on the optimization of Earth system models with regard to performance and scalability, as well as the portability of these models to new hardware architectures of modular supercomputing systems.
SDL-ESS develops tools and libraries to enable simulations on future extreme-scale computing systems by developing a strategic approach to handle performance portability and support new emerging technologies for fast I/O-layers. The SDL has demonstrated competencies in the analysis of the computational and I/O demands of Earth system models, in porting model codes to new hardware architectures, and in enabling efficient handling when generating and archiving high-resolution spatial and temporal data, for example by improving lossy and lossless compression of data.
Dr. Ugur Cayoglu
Speaker of SDL Earth System Science
Speaker of SDL Earth System Science
+49 721 608-25864
cayoglu ∂does-not-exist.kit edu
304
449 Campus Nord
ExaESM
The Exascale Earth System Modelling (PL-ExaESM) pilot lab explores specific concepts for applying Earth System models and their workflows to future exascale supercomputers. The project is divided into five work packages, which address the programming and data science challenges of these future high-performance supercomputers by means of co-design between domain scientists and computer scientists. PL-ExaESM provides a new platform for researchers of the Helmholtz Association to develop scientific and technological concepts for future Earth system models and data analysis.
Contact: Stefan Versick
Details: https://www.scc.kit.edu/en/research/13714.php
V-FOR-WaTer
The virtual research environment for water and terrestrial environmental research (V-FOR-WaTer) developed withing the Water Research Network Baden-Württemberg is a generic virtual research environment for common and systematic management of data obtained from water and environmental research. This project also provides an access to the environmental monitorin data of LUBW and DWD through connecting the corresponding databases.
Contact: Marcus Strobl
Details: www.vforwater.de
Web Visualisation of Climate Data
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Contact: Ugur Cayoglu
Details: TBA
List of Publications
The Michelson Interferometer for Passive Atmospheric Sounding global climatology of BrONO2 2002–2012: a test for stratospheric bromine chemistry.
Höpfner, M.; Kirner, O.; Wetzel, G.; Sinnhuber, B.-M.; Haenel, F.; Johansson, S.; Orphal, J.; Ruhnke, R.; Stiller, G.; von Clarmann, T.
2021. Atmospheric chemistry and physics, 21 (24), 18433–18464. doi:10.5194/acp-21-18433-2021
Höpfner, M.; Kirner, O.; Wetzel, G.; Sinnhuber, B.-M.; Haenel, F.; Johansson, S.; Orphal, J.; Ruhnke, R.; Stiller, G.; von Clarmann, T.
2021. Atmospheric chemistry and physics, 21 (24), 18433–18464. doi:10.5194/acp-21-18433-2021
Mountain-wave-induced polar stratospheric clouds and their representation in the global chemistry model ICON-ART.
Weimer, M.; Buchmüller, J.; Hoffmann, L.; Kirner, O.; Luo, B.; Ruhnke, R.; Steiner, M.; Tritscher, I.; Braesicke, P.
2021. Atmospheric chemistry and physics, 21 (12), 9515–9543. doi:10.5194/acp-21-9515-2021
Weimer, M.; Buchmüller, J.; Hoffmann, L.; Kirner, O.; Luo, B.; Ruhnke, R.; Steiner, M.; Tritscher, I.; Braesicke, P.
2021. Atmospheric chemistry and physics, 21 (12), 9515–9543. doi:10.5194/acp-21-9515-2021
Pollution trace gases C₂H₆, C₂H₂, HCOOH, and PAN in the North Atlantic UTLS: observations and simulations.
Wetzel, G.; Friedl-Vallon, F.; Glatthor, N.; Grooß, J.-U.; Gulde, T.; Höpfner, M.; Johansson, S.; Khosrawi, F.; Kirner, O.; Kleinert, A.; Kretschmer, E.; Maucher, G.; Nordmeyer, H.; Oelhaf, H.; Orphal, J.; Piesch, C.; Sinnhuber, B.-M.; Ungermann, J.; Vogel, B.
2021. Atmospheric chemistry and physics, 21 (10), 8213–8232. doi:10.5194/acp-21-8213-2021
Wetzel, G.; Friedl-Vallon, F.; Glatthor, N.; Grooß, J.-U.; Gulde, T.; Höpfner, M.; Johansson, S.; Khosrawi, F.; Kirner, O.; Kleinert, A.; Kretschmer, E.; Maucher, G.; Nordmeyer, H.; Oelhaf, H.; Orphal, J.; Piesch, C.; Sinnhuber, B.-M.; Ungermann, J.; Vogel, B.
2021. Atmospheric chemistry and physics, 21 (10), 8213–8232. doi:10.5194/acp-21-8213-2021
Technical note: “Bit by bit”: a practical and general approach for evaluating model computational complexity vs. model performance.
Azmi, E.; Ehret, U.; Weijs, S. V.; Ruddell, B. L.; Perdigão, R. A. P.
2021. Hydrology and earth system sciences, 25 (2), 1103–1115. doi:10.5194/hess-25-1103-2021
Azmi, E.; Ehret, U.; Weijs, S. V.; Ruddell, B. L.; Perdigão, R. A. P.
2021. Hydrology and earth system sciences, 25 (2), 1103–1115. doi:10.5194/hess-25-1103-2021
Pollution trace gas distributions and their transport in the Asian monsoon upper troposphere and lowermost stratosphere during the StratoClim campaign 2017.
Johansson, S.; Höpfner, M.; Kirner, O.; Wohltmann, I.; Bucci, S.; Legras, B.; Friedl-Vallon, F.; Glatthor, N.; Kretschmer, E.; Ungermann, J.; Wetzel, G.
2020. Atmospheric chemistry and physics, 20 (23), 14695–14715. doi:10.5194/acp-20-14695-2020
Johansson, S.; Höpfner, M.; Kirner, O.; Wohltmann, I.; Bucci, S.; Legras, B.; Friedl-Vallon, F.; Glatthor, N.; Kretschmer, E.; Ungermann, J.; Wetzel, G.
2020. Atmospheric chemistry and physics, 20 (23), 14695–14715. doi:10.5194/acp-20-14695-2020
On the role of trend and variability in the hydroxyl radical (OH) in the global methane budget.
Zhao, Y.; Saunois, M.; Bousquet, P.; Lin, X.; Berchet, A.; Hegglin, M. I.; Canadell, J. G.; Jackson, R. B.; Deushi, M.; Jöckel, P.; Kinnison, D.; Kirner, O.; Strode, S.; Tilmes, S.; Dlugokencky, E. J.; Zheng, B.
2020. Atmospheric chemistry and physics, 20 (21), 13011–13022. doi:10.5194/acp-20-13011-2020
Zhao, Y.; Saunois, M.; Bousquet, P.; Lin, X.; Berchet, A.; Hegglin, M. I.; Canadell, J. G.; Jackson, R. B.; Deushi, M.; Jöckel, P.; Kinnison, D.; Kirner, O.; Strode, S.; Tilmes, S.; Dlugokencky, E. J.; Zheng, B.
2020. Atmospheric chemistry and physics, 20 (21), 13011–13022. doi:10.5194/acp-20-13011-2020
Adaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elements.
Ehret, U.; van Pruijssen, R.; Bortoli, M.; Loritz, R.; Azmi, E.; Zehe, E.
2020. Hydrology and earth system sciences, 24 (9), 4389–4411. doi:10.5194/hess-24-4389-2020
Ehret, U.; van Pruijssen, R.; Bortoli, M.; Loritz, R.; Azmi, E.; Zehe, E.
2020. Hydrology and earth system sciences, 24 (9), 4389–4411. doi:10.5194/hess-24-4389-2020
Evolutionary Approach of Clustering to Optimize Hydrological Simulations.
Azmi, E.; Strobl, M.; van Pruijssen, R.; Ehret, U.; Meyer, J.; Streit, A.
2020. Computational Science and Its Applications – ICCSA 2020 – 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part I. Ed.: O. Gervasi, 617–633, Springer. doi:10.1007/978-3-030-58799-4_45
Azmi, E.; Strobl, M.; van Pruijssen, R.; Ehret, U.; Meyer, J.; Streit, A.
2020. Computational Science and Its Applications – ICCSA 2020 – 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part I. Ed.: O. Gervasi, 617–633, Springer. doi:10.1007/978-3-030-58799-4_45
Projecting ozone hole recovery using an ensemble of chemistry–climate models weighted by model performance and independence.
Amos, M.; Young, P. J.; Hosking, J. S.; Lamarque, J.-F.; Abraham, N. L.; Akiyoshi, H.; Archibald, A. T.; Bekki, S.; Deushi, M.; Jöckel, P.; Kinnison, D.; Kirner, O.; Kunze, M.; Marchand, M.; Plummer, D. A.; Saint-Martin, D.; Sudo, K.; Tilmes, S.; Yamashita, Y.
2020. Atmospheric chemistry and physics, 20 (16), 9961–9977. doi:10.5194/acp-20-9961-2020
Amos, M.; Young, P. J.; Hosking, J. S.; Lamarque, J.-F.; Abraham, N. L.; Akiyoshi, H.; Archibald, A. T.; Bekki, S.; Deushi, M.; Jöckel, P.; Kinnison, D.; Kirner, O.; Kunze, M.; Marchand, M.; Plummer, D. A.; Saint-Martin, D.; Sudo, K.; Tilmes, S.; Yamashita, Y.
2020. Atmospheric chemistry and physics, 20 (16), 9961–9977. doi:10.5194/acp-20-9961-2020
Optimization of Procedure for Determining Chlorine Nitrate in the Atmosphere from Ground-Based Spectroscopic Measurements.
Virolainen, Y. A.; Polyakov, A. V.; Kirner, O.
2020. Journal of applied spectroscopy, 87 (2), 319–325. doi:10.1007/s10812-020-01002-5
Virolainen, Y. A.; Polyakov, A. V.; Kirner, O.
2020. Journal of applied spectroscopy, 87 (2), 319–325. doi:10.1007/s10812-020-01002-5
V-FOR-WaTer – the virtual research environment to discover and analyse environmental data.
Meyer, J.; Azmi, E.; Hassler, S. K.; Mälicke, M.; Strobl, M.; Zehe, E.
2020. E-Science-Tage 2019: Data to Knowledge. Ed.: V. Heuveline, 199–201, heiBOOKS. doi:10.11588/heibooks.598.c8434
Meyer, J.; Azmi, E.; Hassler, S. K.; Mälicke, M.; Strobl, M.; Zehe, E.
2020. E-Science-Tage 2019: Data to Knowledge. Ed.: V. Heuveline, 199–201, heiBOOKS. doi:10.11588/heibooks.598.c8434
Compression Methods for Structured Floating-Point Data and their Application in Climate Research. PhD dissertation.
Çayoğlu, U.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000105055
Çayoğlu, U.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000105055
Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000-2016 period.
Zhao, Y.; Saunois, M.; Bousquet, P.; Lin, X.; Berchet, A.; Hegglin, M. I.; Canadell, J. G.; Jackson, R. B.; Hauglustaine, D. A.; Szopa, S.; Stavert, A. R.; Abraham, N. L.; Archibald, A. T.; Bekki, S.; Deushi, M.; Jöckel, P.; Josse, B.; Kinnison, D.; Kirner, O.; Marécal, V.; O’Connor, F. M.; Plummer, D. A.; Revell, L. E.; Rozanov, E.; Stenke, A.; Strode, S.; Tilmes, S.; Dlugokencky, E. J.; Zheng, B.
2019. Atmospheric chemistry and physics, 19 (21), 13701–13723. doi:10.5194/acp-19-13701-2019
Zhao, Y.; Saunois, M.; Bousquet, P.; Lin, X.; Berchet, A.; Hegglin, M. I.; Canadell, J. G.; Jackson, R. B.; Hauglustaine, D. A.; Szopa, S.; Stavert, A. R.; Abraham, N. L.; Archibald, A. T.; Bekki, S.; Deushi, M.; Jöckel, P.; Josse, B.; Kinnison, D.; Kirner, O.; Marécal, V.; O’Connor, F. M.; Plummer, D. A.; Revell, L. E.; Rozanov, E.; Stenke, A.; Strode, S.; Tilmes, S.; Dlugokencky, E. J.; Zheng, B.
2019. Atmospheric chemistry and physics, 19 (21), 13701–13723. doi:10.5194/acp-19-13701-2019
Data Encoding in Lossless Prediction-Based Compression Algorithms.
Cayoglu, U.; Tristram, F.; Meyer, J.; Schröter, J.; Kerzenmacher, T.; Braesicke, P.; Streit, A.
2019. IEEE 15th International Conference on eScience : 24-27 September 2019, San Diego, California : proceedings. Ed.: Ilkay Altintas, 226–234, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eScience.2019.00032
Cayoglu, U.; Tristram, F.; Meyer, J.; Schröter, J.; Kerzenmacher, T.; Braesicke, P.; Streit, A.
2019. IEEE 15th International Conference on eScience : 24-27 September 2019, San Diego, California : proceedings. Ed.: Ilkay Altintas, 226–234, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eScience.2019.00032
On Advancement of Information Spaces to Improve Prediction-Based Compression.
Cayoglu, U.; Tristram, F.; Meyer, J.; Kerzenmacher, T.; Braesicke, P.; Streit, A.
2019. INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft Hrsg.: K. David, 271–272, Gesellschaft für Informatik e.V. (GI). doi:10.18420/inf2019_39
Cayoglu, U.; Tristram, F.; Meyer, J.; Kerzenmacher, T.; Braesicke, P.; Streit, A.
2019. INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft Hrsg.: K. David, 271–272, Gesellschaft für Informatik e.V. (GI). doi:10.18420/inf2019_39
The effect of atmospheric nudging on the stratospheric residual circulation in chemistry–climate models.
Chrysanthou, A.; Maycock, A. C.; Chipperfield, M. P.; Dhomse, S.; Garny, H.; Kinnison, D.; Akiyoshi, H.; Deushi, M.; Garcia, R. R.; Jöckel, P.; Kirner, O.; Pitari, G.; Plummer, D. A.; Revell, L.; Rozanov, E.; Stenke, A.; Tanaka, T. Y.; Visioni, D.; Yamashita, Y.
2019. Atmospheric chemistry and physics, 19 (17), 11559–11586. doi:10.5194/acp-19-11559-2019
Chrysanthou, A.; Maycock, A. C.; Chipperfield, M. P.; Dhomse, S.; Garny, H.; Kinnison, D.; Akiyoshi, H.; Deushi, M.; Garcia, R. R.; Jöckel, P.; Kirner, O.; Pitari, G.; Plummer, D. A.; Revell, L.; Rozanov, E.; Stenke, A.; Tanaka, T. Y.; Visioni, D.; Yamashita, Y.
2019. Atmospheric chemistry and physics, 19 (17), 11559–11586. doi:10.5194/acp-19-11559-2019
Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative.
Lamy, K.; Portafaix, T.; Josse, B.; Brogniez, C.; Godin-Beekmann, S.; Bencherif, H.; Revell, L.; Akiyoshi, H.; Bekki, S.; Hegglin, M. I.; Jöckel, P.; Kirner, O.; Liley, B.; Marecal, V.; Morgenstern, O.; Stenke, A.; Zeng, G.; Abraham, N. L.; Archibald, A. T.; Butchart, N.; Chipperfield, M. P.; Di Genova, G.; Deushi, M.; Dhomse, S. S.; Hu, R.-M.; Kinnison, D.; Kotkamp, M.; McKenzie, R.; Michou, M.; O'Connor, F. M.; Oman, L. D.; Pitari, G.; Plummer, D. A.; Pyle, J. A.; Rozanov, E.; Saint-Martin, D.; Sudo, K.; Tanaka, T. Y.; Visioni, D.; Yoshida, K.
2019. Atmospheric chemistry and physics, 19 (15), 10087–10110. doi:10.5194/acp-19-10087-2019
Lamy, K.; Portafaix, T.; Josse, B.; Brogniez, C.; Godin-Beekmann, S.; Bencherif, H.; Revell, L.; Akiyoshi, H.; Bekki, S.; Hegglin, M. I.; Jöckel, P.; Kirner, O.; Liley, B.; Marecal, V.; Morgenstern, O.; Stenke, A.; Zeng, G.; Abraham, N. L.; Archibald, A. T.; Butchart, N.; Chipperfield, M. P.; Di Genova, G.; Deushi, M.; Dhomse, S. S.; Hu, R.-M.; Kinnison, D.; Kotkamp, M.; McKenzie, R.; Michou, M.; O'Connor, F. M.; Oman, L. D.; Pitari, G.; Plummer, D. A.; Pyle, J. A.; Rozanov, E.; Saint-Martin, D.; Sudo, K.; Tanaka, T. Y.; Visioni, D.; Yoshida, K.
2019. Atmospheric chemistry and physics, 19 (15), 10087–10110. doi:10.5194/acp-19-10087-2019
Clustering as Approximation Method to Optimize Hydrological Simulations.
Azmi, E.; Ehret, U.; Meyer, J.; van Pruijssen, R.; Streit, A.; Strobl, M.
2019. Euro-Par 2019: Parallel Processing – 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26–30, 2019, Proceedings. Ed.: R. Yahyapour. Ed.: R. Yahyapour, 256–269, Springer International Publishing. doi:10.1007/978-3-030-29400-7_19
Azmi, E.; Ehret, U.; Meyer, J.; van Pruijssen, R.; Streit, A.; Strobl, M.
2019. Euro-Par 2019: Parallel Processing – 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26–30, 2019, Proceedings. Ed.: R. Yahyapour. Ed.: R. Yahyapour, 256–269, Springer International Publishing. doi:10.1007/978-3-030-29400-7_19
Unusual chlorine partitioning in the 2015/16 Arctic winter lowermost stratosphere: Observations and simulations.
Johansson, S.; Santee, M. L.; Grooß, J.-U.; Höpfner, M.; Braun, M.; Friedl-Vallon, F.; Khosrawi, F.; Kirner, O.; Kretschmer, E.; Oelhaf, H.; Orphal, J.; Sinnhuber, B.-M.; Tritscher, I.; Ungermann, J.; Walker, K. A.; Woiwode, W.
2019. Atmospheric chemistry and physics, 19 (12), 8311–8338. doi:10.5194/acp-19-8311-2019
Johansson, S.; Santee, M. L.; Grooß, J.-U.; Höpfner, M.; Braun, M.; Friedl-Vallon, F.; Khosrawi, F.; Kirner, O.; Kretschmer, E.; Oelhaf, H.; Orphal, J.; Sinnhuber, B.-M.; Tritscher, I.; Ungermann, J.; Walker, K. A.; Woiwode, W.
2019. Atmospheric chemistry and physics, 19 (12), 8311–8338. doi:10.5194/acp-19-8311-2019
Extreme Data Workshop 2018 Forschungszentrum Jülich, 18 – 19 September 2018 Proceedings.
Schultz, M.; Pleiter, D.; Bauer, P. (Eds.).
2019. Forschungszentrum Jülich
Schultz, M.; Pleiter, D.; Bauer, P. (Eds.).
2019. Forschungszentrum Jülich
On Using Clustering for the Optimization of Hydrological Simulations.
Azmi, E.
2019. IEEE International Conference on Data Mining Workshops(ICDMW), Singapore, November 17 - 20 2018, 1495–1496, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICDMW.2018.00215
Azmi, E.
2019. IEEE International Conference on Data Mining Workshops(ICDMW), Singapore, November 17 - 20 2018, 1495–1496, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICDMW.2018.00215
Concept and Analysis of Information Spaces to improve Prediction-Based Compression.
Cayoglu, U.; Tristram, F.; Meyer, J.; Kerzenmacher, T.; Braesicke, P.; Streit, A.
2019. 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, December 10 - 13, 2018. Ed.: Y. Song, 3392–3401, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigData.2018.8622313
Cayoglu, U.; Tristram, F.; Meyer, J.; Kerzenmacher, T.; Braesicke, P.; Streit, A.
2019. 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, December 10 - 13, 2018. Ed.: Y. Song, 3392–3401, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigData.2018.8622313
A Modular Software Framework for Compression of Structured Climate Data.
Cayoglu, U.; Schröter, J.; Meyer, J.; Streit, A.; Braesicke, P.
2018. Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2018, Seattle, WA, November 06-09, 2018, 556–559, Association for Computing Machinery (ACM). doi:10.1145/3274895.3274897
Cayoglu, U.; Schröter, J.; Meyer, J.; Streit, A.; Braesicke, P.
2018. Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2018, Seattle, WA, November 06-09, 2018, 556–559, Association for Computing Machinery (ACM). doi:10.1145/3274895.3274897
Case study of ozone anomalies over northern Russia in the 2015/2016 winter: measurements and numerical modelling.
Timofeyev, Y. M.; Smyshlyaev, S. P.; Virolainen, Y. A.; Garkusha, A. S.; Polyakov, A. V.; Motsakov, M. A.; Kirner, O.
2018. Annales geophysicae, 36 (6), 1495–1505. doi:10.5194/angeo-36-1495-2018
Timofeyev, Y. M.; Smyshlyaev, S. P.; Virolainen, Y. A.; Garkusha, A. S.; Polyakov, A. V.; Motsakov, M. A.; Kirner, O.
2018. Annales geophysicae, 36 (6), 1495–1505. doi:10.5194/angeo-36-1495-2018
Revisiting the Mystery of Recent Stratospheric Temperature Trends.
Maycock, A. C.; Randel, W. J.; Steiner, A. K.; Karpechko, A. Y.; Christy, J.; Saunders, R.; Thompson, D. W. J.; Zou, C.-Z.; Chrysanthou, A.; Luke Abraham, N.; Akiyoshi, H.; Archibald, A. T.; Butchart, N.; Chipperfield, M.; Dameris, M.; Deushi, M.; Dhomse, S.; Di Genova, G.; Jöckel, P.; Kinnison, D. E.; Kirner, O.; Ladstädter, F.; Michou, M.; Morgenstern, O.; O’Connor, F.; Oman, L.; Pitari, G.; Plummer, D. A.; Revell, L. E.; Rozanov, E.; Stenke, A.; Visioni, D.; Yamashita, Y.; Zeng, G.
2018. Geophysical research letters. doi:10.1029/2018GL078035
Maycock, A. C.; Randel, W. J.; Steiner, A. K.; Karpechko, A. Y.; Christy, J.; Saunders, R.; Thompson, D. W. J.; Zou, C.-Z.; Chrysanthou, A.; Luke Abraham, N.; Akiyoshi, H.; Archibald, A. T.; Butchart, N.; Chipperfield, M.; Dameris, M.; Deushi, M.; Dhomse, S.; Di Genova, G.; Jöckel, P.; Kinnison, D. E.; Kirner, O.; Ladstädter, F.; Michou, M.; Morgenstern, O.; O’Connor, F.; Oman, L.; Pitari, G.; Plummer, D. A.; Revell, L. E.; Rozanov, E.; Stenke, A.; Visioni, D.; Yamashita, Y.; Zeng, G.
2018. Geophysical research letters. doi:10.1029/2018GL078035
The representation of solar cycle signals in stratospheric ozone – Part 2: Analysis of global models.
Maycock, A. C.; Matthes, K.; Tegtmeier, S.; Schmidt, H.; Thiéblemont, R.; Hood, L.; Akiyoshi, H.; Bekki, S.; Deushi, M.; Jöckel, P.; Kirner, O.; Kunze, M.; Marchand, M.; Marsh, D. R.; Michou, M.; Plummer, D.; Revell, L. E.; Rozanov, E.; Stenke, A.; Yamashita, Y.; Yoshida, K.
2018. Atmospheric chemistry and physics, 18 (15), 11323–11343. doi:10.5194/acp-18-11323-2018
Maycock, A. C.; Matthes, K.; Tegtmeier, S.; Schmidt, H.; Thiéblemont, R.; Hood, L.; Akiyoshi, H.; Bekki, S.; Deushi, M.; Jöckel, P.; Kirner, O.; Kunze, M.; Marchand, M.; Marsh, D. R.; Michou, M.; Plummer, D.; Revell, L. E.; Rozanov, E.; Stenke, A.; Yamashita, Y.; Yoshida, K.
2018. Atmospheric chemistry and physics, 18 (15), 11323–11343. doi:10.5194/acp-18-11323-2018
Comparison of ECHAM5/MESSy Atmospheric Chemistry (EMAC) simulations of the Arctic winter 2009/2010 and 2010/2011 with Envisat/MIPAS and Aura/MLS observations.
Khosrawi, F.; Kirner, O.; Stiller, G.; Höpfner, M.; Santee, M. L.; Kellmann, S.; Braesicke, P.
2018. Atmospheric chemistry and physics, 18 (12), 8873–8892. doi:10.5194/acp-18-8873-2018
Khosrawi, F.; Kirner, O.; Stiller, G.; Höpfner, M.; Santee, M. L.; Kellmann, S.; Braesicke, P.
2018. Atmospheric chemistry and physics, 18 (12), 8873–8892. doi:10.5194/acp-18-8873-2018
Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations.
Dhomse, S. S.; Kinnison, D.; Chipperfield, M. P.; Salawitch, R. J.; Cionni, I.; Hegglin, M. I.; Abraham, N. L.; Akiyoshi, H.; Archibald, A. T.; Bednarz, E. M.; Bekki, S.; Braesicke, P.; Butchart, N.; Dameris, M.; Deushi, M.; Frith, S.; Hardiman, S. C.; Hassler, B.; Horowitz, L. W.; Hu, R.-M.; Jöckel, P.; Josse, B.; Kirner, O.; Kremser, S.; Langematz, U.; Lewis, J.; Marchand, M.; Lin, M.; Mancini, E.; Marécal, V.; Michou, M.; Morgenstern, O.; O'Connor, F. M.; Oman, L.; Pitari, G.; Plummer, D. A.; Pyle, J. A.; Revell, L. E.; Rozanov, E.; Schofield, R.; Stenke, A.; Stone, K.; Sudo, K.; Tilmes, S.; Visioni, D.; Yamashita, Y.; Zeng, G.
2018. Atmospheric chemistry and physics, 18 (11), 8409–8438. doi:10.5194/acp-18-8409-2018
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