13 results on '"Schupfner, Martin"'
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2. A new Max Planck Institute-Grand Ensemble with CMIP6 forcing and high-frequency model output
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Olonscheck, Dirk, primary, Brune, Sebastian, additional, Suarez-Gutierrez, Laura, additional, Beobide-Arsuaga, Goratz, additional, Baehr, Johanna, additional, Fröb, Friederike, additional, Hellmich, Lara, additional, Ilyina, Tatiana, additional, Kadow, Christopher, additional, Krieger, Daniel, additional, Li, Hongmei, additional, Marotzke, Jochem, additional, Plésiat, Étienne, additional, Schupfner, Martin, additional, Wachsmann, Fabian, additional, Wieners, Karl-Hermann, additional, and Milinski, Sebastian, additional
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- 2023
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3. DKRZ Jahrbuch 2020-2021
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Böttinger, Michael, Meyer, Jana, Adamidis, Panagiotis, Behrens, Jörg, Bergemann, Martin, Berger, Katharina, Biercamp, Joachim, Bockelmann, Hendryk, Buurman, Merret, Duras, Julia, Eceiza, Etor Lucio, Frauen, Claudia, Gehlot, Swati, Heil, Angelika, Kadow, Christopher, Kindermann, Stephan, Lammert, Andrea, Müller, Ralf, Peters-von Gehlen, Karsten, Rompe, Maria, Schupfner, Martin, Thiemann, Hannes, Weigel, Tobias, and Ziemen, Florian Andreas
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Literature ,Climate - Abstract
Project: Literature - Literature e.g. grey literature Summary: The "Jahrbuch 2020-2021" gives an overview of DKRZ's activities in 2020 and 2021. It summarizes the results of important completed projects and takes a look at ongoing and newly started projects. The two main topics of the Yearbook 2020-2021 are the Nobel Prize in Physics 2021 for Prof. Klaus Hasselmann and his influence on the development of DKRZ, and DKRZ's new supercomputer "Levante" (HLRE-4), which was installed at the end of 2021. The pdf documents may be freely downloaded and used. Re-use of single parts (i.e. pictures) is only permitted for non-commercial purposes - except for those pictures that are copyrighted by commercial stock photo agencies. Details can be found in the corresponding picture credits ("Bildnachweis"). For any commercial use, a written agreement of DKRZ is required. Copyright: DKRZ (Creative Commons: CC BY-NC-ND 4.0). The yearbook is also available under the following link: https://www.dkrz.de/pdfs/downloads/dkrz_jahrbuch_2020-2021_web.pdf
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- 2022
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4. The ICON Earth System Model Version 1.0
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Jungclaus, Johann H, primary, Lorenz, Stephan J., additional, Schmidt, Hauke, additional, Gutjahr, Oliver, additional, Haak, Helmuth, additional, Mehlmann, Carolin, additional, Mikolajewicz, Uwe, additional, Notz, Dirk, additional, Putrashan, Dian, additional, von Storch, Jin-Song, additional, Leonidas, Linardakis, additional, Brokvin, Victor, additional, Chegini, Fatemeh, additional, Gayler, Veronika, additional, Giorgetta, Marco A., additional, Hagemann, Stefan, additional, Ilyina, Tatiana, additional, Korn, Peter, additional, Kröger, Jürgen, additional, Müller, Wolfgang A., additional, Pohlmann, Holger, additional, Raddatz, Thomas Jürgen, additional, Ramme, Lennart, additional, Christian, Reick H., additional, Schneck, Rainer, additional, Schnur, Reiner, additional, Stevens, Bjorn, additional, Ziemen, Florian Andreas, additional, Claussen, Martin, additional, Marotzke, Jochem, additional, Wachsmann, Fabian, additional, Schupfner, Martin, additional, Riddick, Thomas, additional, Wieners, Karl-Hermann, additional, Brueggemann, Nils, additional, Redler, Rene, additional, de Vrese, Philipp, additional, Nabel, Julia Esther Marlene Sophia, additional, Sam, Teffy, additional, and Hanke, Moritz, additional
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- 2021
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5. Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6
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Tebaldi, Claudia, Debeire, Kevin, Eyring, Veronika, Fischer, Erich, Fyfe, John, Friedlingstein, Pierre, Knutti, Reto, Lowe, Jason, O'Neill, Brian, Sanderson, Benjamin, Van Vuuren, Detlef, Riahi, Keywan, Meinshausen, Malte, Nicholls, Zebedee, Tokarska, Katarzyna, Hurtt, George, Kriegler, Elmar, Meehl, Gerald, Moss, Richard, Bauer, Susanne, Boucher, Olivier, Brovkin, Victor, Yhb, Yu, Dix, Martin, Gualdi, Silvio, Guo, Huan, John, Jasmin, Kharin, Slava, Kim, Young Ho, Koshiro, Tsuyoshi, Ma, Libin, Olivié, Dirk, Panickal, Swapna, Qiao, Fangli, Rong, Xinyao, Rosenbloom, Nan, Schupfner, Martin, Séférian, Roland, Sellar, Alistair, Semmler, Tido, Shi, Xiaoying, Song, Zhenya, Steger, Christian, Stouffer, Ronald, Swart, Neil, Tachiiri, Kaoru, Tang, Qi, Tatebe, Hiroaki, Voldoire, Aurore, Volodin, Evgeny, Environmental Sciences, and Sub Dynamics Meteorology
- Subjects
Earth and Planetary Sciences(all) - Abstract
The Scenario Model Intercomparison Project (ScenarioMIP) defines and coordinates the main set of future climate projections, based on concentration-driven simulations, within the Coupled Model Intercomparison Project phase 6 (CMIP6). This paper presents a range of its outcomes by synthesizing results from the participating global coupled Earth system models. We limit our scope to the analysis of strictly geophysical outcomes: Mainly global averages and spatial patterns of change for surface air temperature and precipitation. We also compare CMIP6 projections to CMIP5 results, especially for those scenarios that were designed to provide continuity across the CMIP phases, at the same time highlighting important differences in forcing composition, as well as in results. The range of future temperature and precipitation changes by the end of the century (2081-2100) encompassing the Tier 1 experiments based on the Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5) and SSP1-1.9 spans a larger range of outcomes compared to CMIP5, due to higher warming (by close to 1.5-C) reached at the upper end of the 5 %-95% envelope of the highest scenario (SSP5-8.5). This is due to both the wider range of radiative forcing that the new scenarios cover and the higher climate sensitivities in some of the new models compared to their CMIP5 predecessors. Spatial patterns of change for temperature and precipitation averaged over models and scenarios have familiar features, and an analysis of their variations confirms model structural differences to be the dominant source of uncertainty. Models also differ with respect to the size and evolution of internal variability as measured by individual models' initial condition ensemble spreads, according to a set of initial condition ensemble simulations available under SSP3-7.0. These experiments suggest a tendency for internal variability to decrease along the course of the century in this scenario, a result that will benefit from further analysis over a larger set of models. Benefits of mitigation, all else being equal in terms of societal drivers, appear clearly when comparing scenarios developed under the same SSP but to which different degrees of mitigation have been applied. It is also found that a mild overshoot in temperature of a few decades around mid-century, as represented in SSP5-3.4OS, does not affect the end outcome of temperature and precipitation changes by 2100, which return to the same levels as those reached by the gradually increasing SSP4-3.4 (not erasing the possibility, however, that other aspects of the system may not be as easily reversible). Central estimates of the time at which the ensemble means of the different scenarios reach a given warming level might be biased by the inclusion of models that have shown faster warming in the historical period than the observed. Those estimates show all scenarios reaching 1.5-C of warming compared to the 1850-1900 baseline in the second half of the current decade, with the time span between slow and fast warming covering between 20 and 27 years from present. The warming level of 2-C of warming is reached as early as 2039 by the ensemble mean under SSP5-8.5 but as late as the mid-2060s under SSP1-2.6. The highest warming level considered (5-C) is reached by the ensemble mean only under SSP5-8.5 and not until the mid-2090s.
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- 2021
6. Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6
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Environmental Sciences, Sub Dynamics Meteorology, Tebaldi, Claudia, Debeire, Kevin, Eyring, Veronika, Fischer, Erich, Fyfe, John, Friedlingstein, Pierre, Knutti, Reto, Lowe, Jason, O'Neill, Brian, Sanderson, Benjamin, Van Vuuren, Detlef, Riahi, Keywan, Meinshausen, Malte, Nicholls, Zebedee, Tokarska, Katarzyna, Hurtt, George, Kriegler, Elmar, Meehl, Gerald, Moss, Richard, Bauer, Susanne, Boucher, Olivier, Brovkin, Victor, Yhb, Yu, Dix, Martin, Gualdi, Silvio, Guo, Huan, John, Jasmin, Kharin, Slava, Kim, Young Ho, Koshiro, Tsuyoshi, Ma, Libin, Olivié, Dirk, Panickal, Swapna, Qiao, Fangli, Rong, Xinyao, Rosenbloom, Nan, Schupfner, Martin, Séférian, Roland, Sellar, Alistair, Semmler, Tido, Shi, Xiaoying, Song, Zhenya, Steger, Christian, Stouffer, Ronald, Swart, Neil, Tachiiri, Kaoru, Tang, Qi, Tatebe, Hiroaki, Voldoire, Aurore, Volodin, Evgeny, Environmental Sciences, Sub Dynamics Meteorology, Tebaldi, Claudia, Debeire, Kevin, Eyring, Veronika, Fischer, Erich, Fyfe, John, Friedlingstein, Pierre, Knutti, Reto, Lowe, Jason, O'Neill, Brian, Sanderson, Benjamin, Van Vuuren, Detlef, Riahi, Keywan, Meinshausen, Malte, Nicholls, Zebedee, Tokarska, Katarzyna, Hurtt, George, Kriegler, Elmar, Meehl, Gerald, Moss, Richard, Bauer, Susanne, Boucher, Olivier, Brovkin, Victor, Yhb, Yu, Dix, Martin, Gualdi, Silvio, Guo, Huan, John, Jasmin, Kharin, Slava, Kim, Young Ho, Koshiro, Tsuyoshi, Ma, Libin, Olivié, Dirk, Panickal, Swapna, Qiao, Fangli, Rong, Xinyao, Rosenbloom, Nan, Schupfner, Martin, Séférian, Roland, Sellar, Alistair, Semmler, Tido, Shi, Xiaoying, Song, Zhenya, Steger, Christian, Stouffer, Ronald, Swart, Neil, Tachiiri, Kaoru, Tang, Qi, Tatebe, Hiroaki, Voldoire, Aurore, and Volodin, Evgeny
- Published
- 2021
7. Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6
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Tebaldi, Claudia, primary, Debeire, Kevin, additional, Eyring, Veronika, additional, Fischer, Erich, additional, Fyfe, John, additional, Friedlingstein, Pierre, additional, Knutti, Reto, additional, Lowe, Jason, additional, O'Neill, Brian, additional, Sanderson, Benjamin, additional, van Vuuren, Detlef, additional, Riahi, Keywan, additional, Meinshausen, Malte, additional, Nicholls, Zebedee, additional, Tokarska, Katarzyna B., additional, Hurtt, George, additional, Kriegler, Elmar, additional, Lamarque, Jean-Francois, additional, Meehl, Gerald, additional, Moss, Richard, additional, Bauer, Susanne E., additional, Boucher, Olivier, additional, Brovkin, Victor, additional, Byun, Young-Hwa, additional, Dix, Martin, additional, Gualdi, Silvio, additional, Guo, Huan, additional, John, Jasmin G., additional, Kharin, Slava, additional, Kim, YoungHo, additional, Koshiro, Tsuyoshi, additional, Ma, Libin, additional, Olivié, Dirk, additional, Panickal, Swapna, additional, Qiao, Fangli, additional, Rong, Xinyao, additional, Rosenbloom, Nan, additional, Schupfner, Martin, additional, Séférian, Roland, additional, Sellar, Alistair, additional, Semmler, Tido, additional, Shi, Xiaoying, additional, Song, Zhenya, additional, Steger, Christian, additional, Stouffer, Ronald, additional, Swart, Neil, additional, Tachiiri, Kaoru, additional, Tang, Qi, additional, Tatebe, Hiroaki, additional, Voldoire, Aurore, additional, Volodin, Evgeny, additional, Wyser, Klaus, additional, Xin, Xiaoge, additional, Yang, Shuting, additional, Yu, Yongqiang, additional, and Ziehn, Tilo, additional
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- 2021
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8. Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6
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Tebaldi, Claudia, primary, Debeire, Kevin, additional, Eyring, Veronika, additional, Fischer, Erich, additional, Fyfe, John, additional, Friedlingstein, Pierre, additional, Knutti, Reto, additional, Lowe, Jason, additional, O'Neill, Brian, additional, Sanderson, Benjamin, additional, van Vuuren, Detlef, additional, Riahi, Keywan, additional, Meinshausen, Malte, additional, Nicholls, Zebedee, additional, Hurtt, George, additional, Kriegler, Elmar, additional, Lamarque, Jean-Francois, additional, Meehl, Gerald, additional, Moss, Richard, additional, Bauer, Susanne E., additional, Boucher, Olivier, additional, Brovkin, Victor, additional, Golaz, Jean-Christophe, additional, Gualdi, Silvio, additional, Guo, Huan, additional, John, Jasmin G., additional, Kharin, Slava, additional, Koshiro, Tsuyoshi, additional, Ma, Libin, additional, Olivié, Dirk, additional, Panickal, Swapna, additional, Qiao, Fangli, additional, Rosenbloom, Nan, additional, Schupfner, Martin, additional, Seferian, Roland, additional, Song, Zhenya, additional, Steger, Christian, additional, Sellar, Alistair, additional, Swart, Neil, additional, Tachiiri, Kaoru, additional, Tatebe, Hiroaki, additional, Voldoire, Aurore, additional, Volodin, Evgeny, additional, Wyser, Klaus, additional, Xin, Xiaoge, additional, Xinyao, Rong, additional, Yang, Shuting, additional, Yu, Yongqiang, additional, and Ziehn, Tilo, additional
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- 2020
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9. Web-based post-processing workflow composition for CMIP6
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Schupfner, Martin, primary and Wachsmann, Fabian, additional
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- 2020
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10. DKRZ Jahrbuch 2016-2017
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Böttinger, Michael, Meyer, Jana, Adamidis, Panagiotis, Alforov, Yevhen, Biercamp, Joachim, Bockelmann, Hendryk, Buurman, Merret, Ehbrecht, Carsten, Fast, Irina, Fieg, Kerstin, Garternicht, Ulf, Gorges, Ksenia, Hamann, Ilse, Heidari, Reza, Kasang, Dieter, Kindermann, Stephan, Kuhn, Michael, Legutke, Stephanie, Lierhammer, Ludwig, Ludwig, Thomas, Luthardt, Hans, Neumann, Philipp, Ramthun, Hans, Schupfner, Martin, Thiemann, Hannes, Toussaint, Frank, and Wachsmann, Fabian
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Literature ,Climate - Abstract
Project: Literature - Literature e.g. grey literature Summary: The issue 'Jahrbuch 2016-2017' focuses on the final phase of DKRZ's supercomputer 'Mistral' for the simulations of clouds and precipitation using weather and climate models (only available in German, published in July 2018). The pdf documents may be freely downloaded and used. Re-use of single parts (i.e. pictures) is only permitted for non-commercial purposes - except for those pictures that are copyrighted by commercial stock photo agencies. Details can be found in the corresponding picture credits ('Bildnachweis'). For any commercial use, a written agreement of DKRZ is required. Copyright: DKRZ (Creative Commons: CC BY-NC-ND 4.0). The yearbook is also available under the following link: https://www.dkrz.de/pdfs/downloads/dkrz-jahrbuch-2016-17?lang=de
- Published
- 2019
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11. Long-term monitoring of the restoration and development of limestone grasslands in north western Germany: Vegetation screening and soil seed bank analysis
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Koch, Marcus A., primary, Scheriau, Charlotte, additional, Schupfner, Martin, additional, and Bernhardt, Karl-Georg, additional
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- 2011
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12. Web-based post processing workflow composition for CMIP6.
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Schupfner, Martin, Wachsmann, Fabian, and Legutke, Stephanie
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WEB-based user interfaces , *GRAPHICAL user interfaces , *METADATA , *METEOROLOGY , *EDUCATION research - Abstract
CMIP6 defines a data standard as well as a data request (DReq) in order to facilitate analysis across results from different models. For most model output, post-processing is required to make it CMIP6 compliant. The German Federal Ministry of Education and Research (BMBF) is funding a project [1] providing services which help with the production of quality-assured CMIP6 compliant data according to the DReq. In that project a web-based GUI [2] has been developed which guides the modelers through the different steps of the data post-processing workflow. The website provides several functionalities:1. A DReq generator, based on Martin Juckes' DreqPy API [3], can be used to tailor the DReq according to the envisaged experiments and supported MIPs. 2. A volume estimator can be applied to the tailored DReq taking into account the grid dimensions of the model to be used.3. The mapping between variables of the DReq and of the raw model output can be specified. These specifications (model variables, units, etc.) may include diagnostic algorithms and are stored in a database. The mapping information can be downloaded as a Mapping Table (MT) or in form of two post-processing script fragments.One of the fragments contains processing commands based on the diagnostic algorithms entered into the mapping GUI, whereas the other rewrites the (diagnosed) data in a CMIP6 compliant format. Both script fragments use the CDO tool kit [4] developed at the Max Planck Institute for Meteorology, namely the CDO expr and cmor [5] operators. The latter makes use of the CMOR3 library [6] and parses the MT. It was developed in the above mentioned BMBF funded project at the DKRZ. The script fragments are meant to be integrated into CMIP6 data workflows or scripts.4. User specific metadata tables can be generated, which supply the CDO cmor operator with the required and correct metadata as specified in the CMIP6 controlled vocabulary (CV).[1] National CMIP6 Support Activities. https://www.dkrz.de/c6de, last access 9.1.2019.[2] Martin Schupfner (2018): CMIP6 Data Request WebGUI. https://c6dreq.dkrz.de/, last access 9.1.2019.[3] Martin Juckes (2018): Data Request Python API. Vers. 01.00.28. http://proj.badc.rl.ac.uk/svn/exarch/CMIP6dreq/tags/latest/dreqPy/docs/dreqPy.pdf, last access 9.1.2019. [4] Uwe Schulzweida (2018): CDO User Guide. Climate Data Operators. Vers. 1.9.5. https://code.mpimet.mpg.de/projects/cdo/embedded/cdo.pdf, last access 9.1.2019.[5] Fabian Wachsmann (2017): The cdo cmor operator. https://code.mpimet.mpg.de/attachments/download/15822/cdo%5fcmor.pdf, last access 9.1.2019.[6] Denis Nadeau (2018): CMOR version 3.3. https://cmor.llnl.gov/pdf/mydoc.pdf, last access 9.1.2019. [ABSTRACT FROM AUTHOR]
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- 2019
13. CMIP6 compliant processing and climate extremes indices with CDO's.
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Wachsmann, Fabian and Schupfner, Martin
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CLIMATE change detection , *CLIMATE extremes , *CLIMATOLOGY - Abstract
The Climate Data Operators [1] tool kit (CDO) is a worldwide popular infrastructure software developed and maintained at the Max Planck Institute for Meteorology (MPI-M). It comprises a large number of command line operators for gridded data, including statistics, interpolation, or arithmetics. Users benefit from the extensive support facilities provided by the MPI-M and the DKRZ.As a part of the sixth phase of the Coupled Model Intercomparison Project (CMIP6), the German Federal Ministry of Education and Research (BMBF) is funding activities promoting the use of the CDOs for CMIP6 data preparation and analysis. Firstly, a new operator 'cmor' has been developed which enables the users to rewrite their data according to the CMIP6 standard. It may be piped with other CDO operators allowing users to finish CDO applications with a standardizing 'cmor' call. The web-based post processing workflow composition for CMIP6 developed at DKRZ [2] takes advantage of the cmor operator. Secondly, both the metadata model and the data model of the CDOs had to be adapted to the CMIP6 standard.In addition, activities are underway to revise some operators for climate indices in order to adopt the procedures defined by the Expert Team on Climate Change Detection and Indices (ETCCDI) for 27 climate extremes indices. As with CMIP5, the ETCCDI climate extremes indices will be part of CMIP6 model analyses due to their robustness and straightforward interpretation.[1] Schulzweida, U. (2019): CDO user guide. code.mpimet.mpg.de/projects/cdo, last access: 01.09.2019.[2] Schupfner, M. (2019): The CMIP6 Data Request WebGUI. c6dreq.dkrz.de, last access: 01.09.2019. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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