Peer-reviewed articles

Please also have a look at the listing of ESiWACE-related publications on OpenAire.

Cathy Hohenegger, Peter Korn, Leonidas Linardakis, René Redler, Reiner Schnur, Panagiotis Adamidis, Jiawei Bao, Swantje Bastin, Milad Behravesh, Martin Bergemann, Joachim Biercamp, Hendryk Bockelmann, Renate Brokopf, Nils Brüggemann, Lucas Casaroli, Fatemeh Chegini, George Datseris, Monika Esch, Geet George, Marco Giorgetta, Oliver Gutjahr, Helmuth Haak, Moritz Hanke, Tatiana Ilyina, Thomas Jahns, Johann Jungclaus, Marcel Kern, Daniel Klocke, Lukas Kluft, Tobias Kölling, Luis Kornblueh, Sergey Kosukhin, Clarissa Kroll, Junhong Lee, Thorsten Mauritsen, Carolin Mehlmann, Theresa Mieslinger, Ann Kristin Naumann, Laura Paccini, Angel Peinado, Divya Sri Praturi, Dian Putrasahan, Sebastian Rast, Thomas Riddick, Niklas Roeber, Hauke Schmidt, Uwe Schulzweida, Florian Schütte, Hans Segura, Radomyra Shevchenko, Vikram Singh, Mia Specht, Claudia Christine Stephan, Jin-Song von Storch, Raphaela Vogel, Christian Wengel, Marius Winkler, Florian Ziemen, Jochem Marotzke, and Bjorn Stevens (2023). ICON-Sapphire: simulating the components of the Earth system and their interactions at kilometer and subkilometer scales . Geosci. Model Dev., 16, 779–811 doi:10.5194/gmd-16-779-2023

Hyunju Jung, Peter Knippertz (2022). Link Between the Time-Space Behavior of Rainfall and 3D Dynamical Structures of Equatorial Waves in Global Convection-Permitting Simulations . Geophysical Research Letters, 50, e2022GL100973 doi:10.1029/2022GL100973

Lucy Harris, Andrew T. T. McRae, Matthew Chantry, Peter D. Dueben, Tim N. Palmer (2022). A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts . Journal of Advances in Modeling Earth Systems, 14, e2022MS003120 doi:10.1029/2022MS003120

Stijn Heldens, Alessio Sclocco, Henk Dreuning, Ben van Werkhoven, Pieter Hijma, Jason Maassen, Rob V. van Nieuwpoort (2022). litstudy: A Python package for literature reviews . SoftwareX 20 (2022) 101207 doi:10.1016/j.softx.2022.101207

Stephan, C.C., Duras, J., Harris, L., Klocke, D., Putman, W.M., Taylor, M., Wedi, N.P., Žagar, N., and Ziemen, F. (2022). Atmospheric Energy Spectra in Global Kilometre-Scale Models . Tellus A: Dynamic Meteorology and Oceanography, 74(1), pp.280–299 doi:10.16993/tellusa.26

Gutjahr, O., Jungclaus, J. H., Brüggemann, N., Haak, H., and Marotzke, J. (2022). Air-Sea Interactions and Water Mass Transformation During a Katabatic Storm in the Irminger Sea . Journal of Geophysical Research: Oceans, 127, e2021JC018075 doi:10.1029/2021JC018075

J. H. Jungclaus, S. J. Lorenz, H. Schmidt, V. Brovkin, N. Brüggemann, F. Chegini, T. Crüger, P. De-Vrese, V. Gayler, M. A. Giorgetta, O. Gutjahr, H. Haak, S. Hagemann, M. Hanke, T. Ilyina, P. Korn, J. Kröger, L. Linardakis, C. Mehlmann, U. Mikolajewicz, W. A. Müller, J. E. M. S. Nabel, D. Notz, H. Pohlmann, D. A. Putrasahan, T. Raddatz, L. Ramme, R. Redler, C. H. Reick, T. Riddick, T. Sam, R. Schneck, R. Schnur, M. Schupfner, J.-S. von Storch, F. Wachsmann, K.-H. Wieners, F. Ziemen, B. Stevens, J. Marotzke, M. Claussen (2022). The ICON Earth System Model Version 1.0 . Journal of Advances in Modeling Earth Systems, 14, e2021MS002813 doi:10.1029/2021MS002813

Meyer, D., Hogan, R. J., Dueben, P. D., and Mason, S. L. (2022). Machine Learning Emulation of 3D Cloud Radiative Effects . Journal of Advances in Modeling Earth Systems, 14, e2021MS002550 doi:10.1029/2021MS002550

Xavier Yepes-Arbós, Gijs van den Oord, Mario C. Acosta, and Glenn D. Carver (2022). 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 . Geosci. Model Dev., 15, 379–394 doi:10.5194/gmd-15-379-2022

J. M. Nugent, S. M. Turbeville, C. S. Bretherton, P. N. Blossey, T. P. Ackerman (2021). Tropical Cirrus in Global Storm-Resolving Models: 1. Role of Deep Convection . Earth and Space Science, 9, e2021EA001965. doi:10.1029/2021EA001965

S. M. Turbeville, J. M. Nugent, T. P. Ackerman, C. S. Bretherton, P. N. Blossey (2021). Tropical Cirrus in Global Storm-Resolving Models: 2. Cirrus Life Cycle and Top-of-Atmosphere Radiative Fluxes . Earth and Space Science, 9, e2021EA001978. doi:10.1029/2021EA001965

Milan Klöwer, Miha Razinger, Juan J. Dominguez, Peter D. Düben, and Tim N. Palmer (2021). Compressing atmospheric data into its real information content . Nat Comput Sci 1, 713–724 doi:10.1038/s43588-021-00156-2

Hannah M. Christensen, and Oliver G. A. Driver (2021). The Fractal Nature of Clouds in Global Storm-Resolving Models . Geophysical Research Letters, 48, e2021GL095746 doi:10.1029/2021gl095746

Theresa Lang, Ann Kristin Naumann, Bjorn Stevens, and Stefan A. Buehler (2021). Tropical Free-Tropospheric Humidity Differences and Their Effect on the Clear-Sky Radiation Budget in Global Storm-Resolving Models . Journal of Advances in Modeling Earth Systems, 13, e2021MS002514 doi:10.1029/2021ms002514

Jiawei BAO, and Bjorn STEVENS (2021). The Elements of the Thermodynamic Structure of the Tropical Atmosphere . Journal of the Meteorological Society of Japan. Ser. II, 2021, Volume 99, Issue 6, Pages 1483-1499 doi:10.2151/jmsj.2021-072

Niraj Agarwal, D. Kondrashov, P. Dueben, E. Ryzhov, and P. Berloff (2021). A Comparison of Data-Driven Approaches to Build Low-Dimensional Ocean Models . Journal of Advances in Modeling Earth Systems, 13, e2021MS002537 doi:10.1029/2021ms002537

Sam Hatfield, Matthew Chantry, Peter Dueben, Philippe Lopez, Alan Geer, and Tim Palmer (2021). Building Tangent-Linear and Adjoint Models for Data Assimilation With Neural Networks . Journal of Advances in Modeling Earth Systems, 13, e2021MS002521 doi:10.1029/2021ms002521

Christian Zeman, Nils Wedi, Peter Dueben, Nikolina Ban, and Christoph Schär (2021). Model intercomparison of COSMO 5.0 and IFS 45r1 at kilometer-scale grid spacing . Geosci. Model Dev., 14, 4617–4639 doi:10.5194/gmd-14-4617-2021

Maike Sonnewald, Redouane Lguensat, Daniel C Jones, Peter D Dueben, Julien Brajard, and V Balaji (2021). Bridging observations, theory and numerical simulation of the ocean using machine learning . Environ. Res. Lett. 16 073008 doi:10.1088/1748-9326/ac0eb0

Rilwan A. Adewoyin, Peter Dueben, Peter Watson, Yulan He, and Ritabrata Dutta (2021). TRU-NET: a deep learning approach to high resolution prediction of rainfall . Mach Learn 110, 2035–2062 doi:10.1007/s10994-021-06022-6

Christoph HEIM, Laureline HENTGEN, Nikolina BAN, and Christoph SCHÄR (2021). Inter-model Variability in Convection-Resolving Simulations of Subtropical Marine Low Clouds . Journal of the Meteorological Society of Japan. Ser. II, 2021, Volume 99, Issue 5, Pages 1271-1295 doi:10.2151/jmsj.2021-062

Matthew Chantry, Sam Hatfield, Peter Dueben, Inna Polichtchouk, and Tim Palmer (2021). Machine Learning Emulation of Gravity Wave Drag in Numerical Weather Forecasting . Journal of Advances in Modeling Earth Systems, 13, e2021MS002477 doi:10.1029/2021ms002477

D. Elia, S. Fiore, and G. Aloisio (2021). Towards HPC and Big Data Analytics Convergence: Design and Experimental Evaluation of a HPDA Framework for eScience at Scale . in IEEE Access, vol. 9, pp. 73307-73326 doi:10.1109/access.2021.3079139

Fredrik Jansson, Wouter Edeling, Jisk Attema, and Daan Crommelin (2021). Assessing uncertainties from physical parameters and modelling choices in an atmospheric large eddy simulation model . Phil. Trans. R. Soc. A.37920200073 doi:10.1109/access.2021.3079139

Peter Grönquist, Chengyuan Yao, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Shigang Li and Torsten Hoefler (2021). Deep learning for post-processing ensemble weather forecasts . Phil. Trans. R. Soc. A.3792020009220200092 doi:10.1098/rsta.2020.0092

Tommaso Benacchio, Luca Bonaventura, Mirco Altenbernd, Chris D Cantwell, Peter D Dueben, Mike Gillard, Luc Giraud, Dominik Goeddeke, Erwan Raffin, Keita Teranishi, and Nils Wedi (2021). Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction . The International Journal of High Performance Computing Applications. 2021;35(4):285-311 doi:10.1177/1094342021990433

Falko JUDT, Daniel KLOCKE, Rosimar RIOS-BERRIOS, Benoit VANNIERE, Florian ZIEMEN, Ludovic AUGER, Joachim BIERCAMP, Christopher BRETHERTON, Xi CHEN, Peter DÜBEN, Cathy HOHENEGGER, Marat KHAIROUTDINOV, Chihiro KODAMA, Luis KORNBLUEH, Shian-Jiann LIN, Masuo NAKANO, Philipp NEUMANN, William PUTMAN, Niklas RÖBER, Malcolm ROBERTS, Masaki SATOH, Ryosuke SHIBUYA, Bjorn STEVENS, Pier Luigi VIDALE, Nils WEDI, and Linjiong ZHOU (2021). Tropical Cyclones in Global Storm-Resolving Models . Journal of the Meteorological Society of Japan. Ser. II, 2021, Volume 99, Issue 3, Pages 579-602 doi:10.2151/jmsj.2021-029

Nils P. Wedi, Inna Polichtchouk, Peter Dueben, Valentine G. Anantharaj, Peter Bauer, Souhail Boussetta, Philip Browne, Willem Deconinck, Wayne Gaudin, Ioan Hadade, Sam Hatfield, Olivier Iffrig, Philippe Lopez, Pedro Maciel, Andreas Mueller, Sami Saarinen, Irina Sandu, Tiago Quintino, and Frederic Vitart (2020). A Baseline for Global Weather and ClimateSimulations at 1 km Resolution . Journal of Advances in Modeling Earth Systems, 12, e2020MS002192 doi:10.1029/2020ms002192

M. Klöwer, P. D. Düben, and T. N. Palmer (2020). Number Formats, Error Mitigation, and Scope for 16-Bit Arithmetics in Weather and Climate Modeling Analyzed With a Shallow Water Model . Journal of Advances in Modeling Earth Systems, 12, e2020MS002246 doi:10.1029/2020ms002246

Stephan Rasp, Peter Dueben, Sebastian Scher, Jonathan A. Weyn, Soukayna Mouatadid, and Nils Thuerey (2020). WeatherBench: A Benchmark Data Set for Data-Driven Weather Forecasting . Journal of Advances in Modeling Earth Systems, 12, e2020MS002203 doi:10.1029/2020ms002203

Julian M. Kunkel, and Luciana R. Pedro (2020). Potential of I/O Aware Workflows in Climate and Weather . Supercomputing Frontiers and Innovations, 7(2), 35–53 doi:10.14529/jsfi200203

Stijn Heldens, Pieter Hijma, Ben Van Werkhoven, Jason Maassen, Adam S. Z. Belloum, and Rob V. Van Nieuwpoort (2020). The Landscape of Exascale Research . ACM Comput. Surv. 53, 2, Article 23 (March 2021), 43 pages. doi:10.1145/3372390

Peter D. Dueben, Nils Wedi, Sami Saarinen, and Christian Zeman (2020). Global Simulations of the Atmosphere at 1.45 km Grid-Spacing with the Integrated Forecasting System . Journal of the Meteorological Society of Japan. Ser. II, 2020, Volume 98, Issue 3, Pages 551-572 doi:10.2151/jmsj.2020-016

Sam Hatfield, Andrew McRae, Tim Palmer, and Peter Düben (2020). Single-Precision in the Tangent-Linear and Adjoint Models of Incremental 4D-Var . Monthly Weather Review, 148(4), 1541-1552 doi:10.1175/MWR-D-19-0291.1

Fenwick C. Cooper, Peter D. Düben, Christophe Denis, Andrew Dawson, Peter Ashwin (2020). The Relationship between Numerical Precision and Forecast Lead Time in the Lorenz’95 System . Monthly Weather Review, 148(2), 849-855 doi:10.1175/MWR-D-18-0200.1