Articles | Volume 9, issue 10
Geosci. Model Dev., 9, 3639–3654, 2016
https://doi.org/10.5194/gmd-9-3639-2016

Special issue: The Modular Earth Submodel System (MESSy) (ACP/GMD inter-journal...

Geosci. Model Dev., 9, 3639–3654, 2016
https://doi.org/10.5194/gmd-9-3639-2016

Development and technical paper 13 Oct 2016

Development and technical paper | 13 Oct 2016

A diagnostic interface for the ICOsahedral Non-hydrostatic (ICON) modelling framework based on the Modular Earth Submodel System (MESSy v2.50)

Bastian Kern and Patrick Jöckel

Related authors

Newly developed aircraft routing options for air traffic simulation in the chemistry–climate model EMAC 2.53: AirTraf 2.0
Hiroshi Yamashita, Feijia Yin, Volker Grewe, Patrick Jöckel, Sigrun Matthes, Bastian Kern, Katrin Dahlmann, and Christine Frömming
Geosci. Model Dev., 13, 4869–4890, https://doi.org/10.5194/gmd-13-4869-2020,https://doi.org/10.5194/gmd-13-4869-2020, 2020
Short summary
Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51
Patrick Jöckel, Holger Tost, Andrea Pozzer, Markus Kunze, Oliver Kirner, Carl A. M. Brenninkmeijer, Sabine Brinkop, Duy S. Cai, Christoph Dyroff, Johannes Eckstein, Franziska Frank, Hella Garny, Klaus-Dirk Gottschaldt, Phoebe Graf, Volker Grewe, Astrid Kerkweg, Bastian Kern, Sigrun Matthes, Mariano Mertens, Stefanie Meul, Marco Neumaier, Matthias Nützel, Sophie Oberländer-Hayn, Roland Ruhnke, Theresa Runde, Rolf Sander, Dieter Scharffe, and Andreas Zahn
Geosci. Model Dev., 9, 1153–1200, https://doi.org/10.5194/gmd-9-1153-2016,https://doi.org/10.5194/gmd-9-1153-2016, 2016
Short summary

Related subject area

Climate and Earth system modeling
Modeling land use and land cover change: using a hindcast to estimate economic parameters in gcamland v2.0
Katherine V. Calvin, Abigail Snyder, Xin Zhao, and Marshall Wise
Geosci. Model Dev., 15, 429–447, https://doi.org/10.5194/gmd-15-429-2022,https://doi.org/10.5194/gmd-15-429-2022, 2022
Short summary
Assessment of the Finite-VolumE Sea ice–Ocean Model (FESOM2.0) – Part 2: Partial bottom cells, embedded sea ice and vertical mixing library CVMix
Patrick Scholz, Dmitry Sidorenko, Sergey Danilov, Qiang Wang, Nikolay Koldunov, Dmitry Sein, and Thomas Jung
Geosci. Model Dev., 15, 335–363, https://doi.org/10.5194/gmd-15-335-2022,https://doi.org/10.5194/gmd-15-335-2022, 2022
Short summary
Evaluation and optimisation of the I/O scalability for the next generation of Earth system models: IFS CY43R3 and XIOS 2.0 integration as a case study
Xavier Yepes-Arbós, Gijs van den Oord, Mario C. Acosta, and Glenn D. Carver
Geosci. Model Dev., 15, 379–394, https://doi.org/10.5194/gmd-15-379-2022,https://doi.org/10.5194/gmd-15-379-2022, 2022
Short summary
Coupling the Community Land Model version 5.0 to the parallel data assimilation framework PDAF: description and applications
Lukas Strebel, Heye R. Bogena, Harry Vereecken, and Harrie-Jan Hendricks Franssen
Geosci. Model Dev., 15, 395–411, https://doi.org/10.5194/gmd-15-395-2022,https://doi.org/10.5194/gmd-15-395-2022, 2022
Short summary
Convolutional conditional neural processes for local climate downscaling
Anna Vaughan, Will Tebbutt, J. Scott Hosking, and Richard E. Turner
Geosci. Model Dev., 15, 251–268, https://doi.org/10.5194/gmd-15-251-2022,https://doi.org/10.5194/gmd-15-251-2022, 2022
Short summary

Cited articles

Ali, N., Carns, P., Iskra, K., Kimpe, D., Lang, S., Latham, R., Ross, R., Ward, L., and Sadayappan, P.: Scalable I/O forwarding framework for high-performance computing systems, in: 2009 IEEE International Conference on Cluster Computing and Workshops, 1–10, https://doi.org/10.1109/CLUSTR.2009.5289188, 2009.
Baker, A. H., Hammerling, D. M., Mickleson, S. A., Xu, H., Stolpe, M. B., Naveau, P., Sanderson, B., Ebert-Uphoff, I., Samarasinghe, S., De Simone, F., Carbone, F., Gencarelli, C. N., Dennis, J. M., Kay, J. E., and Lindstrom, P.: Evaluating Lossy Data Compression on Climate Simulation Data within a Large Ensemble, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2016-146, in review, 2016.
Baumgaertner, A. J. G., Jöckel, P., Kerkweg, A., Sander, R., and Tost, H.: Implementation of the Community Earth System Model (CESM) version 1.2.1 as a new base model into version 2.50 of the MESSy framework, Geosci. Model Dev., 9, 125–135, https://doi.org/10.5194/gmd-9-125-2016, 2016.
Bodas-Salcedo, A., Webb, M. J., Brooks, M. E., Ringer, M. A., Williams, K. D., Milton, S. F., and Wilson, D. R.: Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities, J. Geophys. Res.-Atmos., 113, D00A13, https://doi.org/10.1029/2007JD009620, 2008.
Buehler, S. and Russchenberg, H. (Eds.): HD(CP)2 Observational Prototype Experiment, Atmos. Chem. Phys., http://www.atmos-chem-phys.net/special_issue366.html, 2014.
Download
Short summary
Input and output of large data limit the performance of numerical models on supercomputers. We present an interface for the calculation of online diagnostics in a weather and climate model. These diagnostics are calculated online during the simulation instead of as subsequent post-processing. Depending on the diagnostic, we can reduce the amount of model output.