Articles | Volume 9, issue 8
https://doi.org/10.5194/gmd-9-2755-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/gmd-9-2755-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
22 Aug 2016
Development and technical paper |
| 22 Aug 2016
YAC 1.2.0: new aspects for coupling software in Earth system modelling
Moritz Hanke
CORRESPONDING AUTHOR
Deutsches Klimarechenzentrum, Hamburg, Germany
Max-Planck-Institut für Meteorologie, Hamburg, Germany
Teresa Holfeld
Max-Planck-Institut für Meteorologie, Hamburg, Germany
Maxim Yastremsky
Max-Planck-Institut für Meteorologie, Hamburg, Germany
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Cited
46 citations as recorded by crossref.
- UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python T. Hallouin et al.
- DiRong1.0: a distributed implementation for improving routing network generation in model coupling H. Yu et al.
- FINAM is not a model (v1.0): a new Python-based model coupling framework S. Müller et al.
- Spatiotemporal variability of soil moisture over Ethiopia and its teleconnections with remote and local drivers T. Jimma et al.
- preCICE v2: A sustainable and user-friendly coupling library G. Chourdakis et al.
- A diagnostic interface for the ICOsahedral Non-hydrostatic (ICON) modelling framework based on the Modular Earth Submodel System (MESSy v2.50) B. Kern & P. Jöckel
- Improving climate model coupling through a complete mesh representation: a case study with E3SM (v1) and MOAB (v5.x) V. Mahadevan et al.
- Observed and modeled Arctic airmass transformations during warm air intrusions and cold air outbreaks M. Wendisch et al.
- ICON-Sapphire: simulating the components of the Earth system and their interactions at kilometer and subkilometer scales C. Hohenegger et al.
- ICON ComIn – the ICON Community Interface (ComIn version 0.1.0, with ICON version 2024.01-01) K. Hartung et al.
- Recent evidence for warmer and drier growing seasons in climate sensitive regions of Central America from multiple global datasets I. Stewart et al.
- Fast and Accurate Intersections on a Sphere H. Chen et al.
- Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al.
- Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al.
- Early Development and Tuning of a Global Coupled Cloud Resolving Model, and its Fast Response to Increasing CO2 T. Mauritsen et al.
- Water scarcity indicator based on GRACE derived total water storage for fast water scarcity monitoring F. Wolkeba et al.
- Impact of ocean data assimilation on climate predictions with ICON-ESM H. Pohlmann et al.
- The Destination Earth digital twin for climate change adaptation F. Doblas-Reyes et al.
- Coupling the regional climate model ICON-CLM v2.6.6 to the Earth system model GCOAST-AHOI v2.0 using OASIS3-MCT v4.0 H. Ho-Hagemann et al.
- Design and Research of CAS‐CIG for Earth System Models T. Wang et al.
- Efficient and stable coupling of the SuperdropNet deep-learning-based cloud microphysics (v0.1.0) with the ICON climate and weather model (v2.6.5) C. Arnold et al.
- An updated non-intrusive, multi-scale, and flexible coupling interface in WRF 4.6.0 S. Masson et al.
- ICONGETM v1.0 – flexible NUOPC-driven two-way coupling via ESMF exchange grids between the unstructured-grid atmosphere model ICON and the structured-grid coastal ocean model GETM T. Bauer et al.
- C-Coupler3.0: an integrated coupler infrastructure for Earth system modelling L. Liu et al.
- Metrics for Intercomparison of Remapping Algorithms (MIRA) protocol applied to Earth system models V. Mahadevan et al.
- PatCC1: an efficient parallel triangulation algorithm for spherical and planar grids with commonality and parallel consistency H. Yang et al.
- Exploring the regional coupled capabilities of the ICON modelling framework: The case of medicane Ianos A. Campanale et al.
- CIOFC1.0: a common parallel input/output framework based on C-Coupler2.0 X. Yu et al.
- Multiple bias-correction of dynamically downscaled CMIP5 climate models temperature projection: a case study of the transboundary Komadugu-Yobe river basin, Lake Chad region, West Africa O. Adeyeri et al.
- preCICE v2: A sustainable and user-friendly coupling library G. Chourdakis et al.
- Coupling library Jcup3: its philosophy and application T. Arakawa et al.
- Risk assessment of forest disturbance by typhoons with heavy precipitation in northern Japan J. Morimoto et al.
- nextGEMS: entering the era of kilometer-scale Earth system modeling H. Segura et al.
- Truly conserving with conservative remapping methods K. Taylor
- Deep learning models for generation of precipitation maps based on numerical weather prediction A. Rojas-Campos et al.
- Climate and ocean circulation in the aftermath of a Marinoan snowball Earth L. Ramme & J. Marotzke
- Earth system modeling on modular supercomputing architecture: coupled atmosphere–ocean simulations with ICON 2.6.6-rc A. Bishnoi et al.
- The ICON Earth System Model Version 1.0 J. Jungclaus et al.
- The ICON-based Earth System Model for climate predictions and projections (ICON XPP v1.0) W. Müller et al.
- Benchmarking Regridding Libraries Used in Earth System Modelling S. Valcke et al.
- C-Coupler2: a flexible and user-friendly community coupler for model coupling and nesting L. Liu et al.
- Balancing EC‐Earth3 Improving the Performance of EC‐Earth CMIP6 Configurations by Minimizing the Coupling Cost M. Acosta et al.
- Evaluation of the Sea-Ice Simulation in the Upgraded Version of the Coupled Regional Atmosphere-Ocean- Sea Ice Model HIRHAM–NAOSIM 2.0 W. Dorn et al.
- Improving scalability of Earth system models through coarse-grained component concurrency – a case study with the ICON v2.6.5 modelling system L. Linardakis et al.
- Mastering the scales: a survey on the benefits of multiscale computing software D. Groen et al.
- On the Weather Impact of Contrails: New Insights from Coupled ICON–CoCiP Simulations U. Schumann & A. Seifert
46 citations as recorded by crossref.
- UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python T. Hallouin et al.
- DiRong1.0: a distributed implementation for improving routing network generation in model coupling H. Yu et al.
- FINAM is not a model (v1.0): a new Python-based model coupling framework S. Müller et al.
- Spatiotemporal variability of soil moisture over Ethiopia and its teleconnections with remote and local drivers T. Jimma et al.
- preCICE v2: A sustainable and user-friendly coupling library G. Chourdakis et al.
- A diagnostic interface for the ICOsahedral Non-hydrostatic (ICON) modelling framework based on the Modular Earth Submodel System (MESSy v2.50) B. Kern & P. Jöckel
- Improving climate model coupling through a complete mesh representation: a case study with E3SM (v1) and MOAB (v5.x) V. Mahadevan et al.
- Observed and modeled Arctic airmass transformations during warm air intrusions and cold air outbreaks M. Wendisch et al.
- ICON-Sapphire: simulating the components of the Earth system and their interactions at kilometer and subkilometer scales C. Hohenegger et al.
- ICON ComIn – the ICON Community Interface (ComIn version 0.1.0, with ICON version 2024.01-01) K. Hartung et al.
- Recent evidence for warmer and drier growing seasons in climate sensitive regions of Central America from multiple global datasets I. Stewart et al.
- Fast and Accurate Intersections on a Sphere H. Chen et al.
- Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al.
- Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al.
- Early Development and Tuning of a Global Coupled Cloud Resolving Model, and its Fast Response to Increasing CO2 T. Mauritsen et al.
- Water scarcity indicator based on GRACE derived total water storage for fast water scarcity monitoring F. Wolkeba et al.
- Impact of ocean data assimilation on climate predictions with ICON-ESM H. Pohlmann et al.
- The Destination Earth digital twin for climate change adaptation F. Doblas-Reyes et al.
- Coupling the regional climate model ICON-CLM v2.6.6 to the Earth system model GCOAST-AHOI v2.0 using OASIS3-MCT v4.0 H. Ho-Hagemann et al.
- Design and Research of CAS‐CIG for Earth System Models T. Wang et al.
- Efficient and stable coupling of the SuperdropNet deep-learning-based cloud microphysics (v0.1.0) with the ICON climate and weather model (v2.6.5) C. Arnold et al.
- An updated non-intrusive, multi-scale, and flexible coupling interface in WRF 4.6.0 S. Masson et al.
- ICONGETM v1.0 – flexible NUOPC-driven two-way coupling via ESMF exchange grids between the unstructured-grid atmosphere model ICON and the structured-grid coastal ocean model GETM T. Bauer et al.
- C-Coupler3.0: an integrated coupler infrastructure for Earth system modelling L. Liu et al.
- Metrics for Intercomparison of Remapping Algorithms (MIRA) protocol applied to Earth system models V. Mahadevan et al.
- PatCC1: an efficient parallel triangulation algorithm for spherical and planar grids with commonality and parallel consistency H. Yang et al.
- Exploring the regional coupled capabilities of the ICON modelling framework: The case of medicane Ianos A. Campanale et al.
- CIOFC1.0: a common parallel input/output framework based on C-Coupler2.0 X. Yu et al.
- Multiple bias-correction of dynamically downscaled CMIP5 climate models temperature projection: a case study of the transboundary Komadugu-Yobe river basin, Lake Chad region, West Africa O. Adeyeri et al.
- preCICE v2: A sustainable and user-friendly coupling library G. Chourdakis et al.
- Coupling library Jcup3: its philosophy and application T. Arakawa et al.
- Risk assessment of forest disturbance by typhoons with heavy precipitation in northern Japan J. Morimoto et al.
- nextGEMS: entering the era of kilometer-scale Earth system modeling H. Segura et al.
- Truly conserving with conservative remapping methods K. Taylor
- Deep learning models for generation of precipitation maps based on numerical weather prediction A. Rojas-Campos et al.
- Climate and ocean circulation in the aftermath of a Marinoan snowball Earth L. Ramme & J. Marotzke
- Earth system modeling on modular supercomputing architecture: coupled atmosphere–ocean simulations with ICON 2.6.6-rc A. Bishnoi et al.
- The ICON Earth System Model Version 1.0 J. Jungclaus et al.
- The ICON-based Earth System Model for climate predictions and projections (ICON XPP v1.0) W. Müller et al.
- Benchmarking Regridding Libraries Used in Earth System Modelling S. Valcke et al.
- C-Coupler2: a flexible and user-friendly community coupler for model coupling and nesting L. Liu et al.
- Balancing EC‐Earth3 Improving the Performance of EC‐Earth CMIP6 Configurations by Minimizing the Coupling Cost M. Acosta et al.
- Evaluation of the Sea-Ice Simulation in the Upgraded Version of the Coupled Regional Atmosphere-Ocean- Sea Ice Model HIRHAM–NAOSIM 2.0 W. Dorn et al.
- Improving scalability of Earth system models through coarse-grained component concurrency – a case study with the ICON v2.6.5 modelling system L. Linardakis et al.
- Mastering the scales: a survey on the benefits of multiscale computing software D. Groen et al.
- On the Weather Impact of Contrails: New Insights from Coupled ICON–CoCiP Simulations U. Schumann & A. Seifert
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Short summary
A lightweight software library has been developed to realise the coupling of Earth system model components. The software provides a parallelised two-dimensional neighbourhood search, interpolation, and communication for the coupling between any two model components and offers flexible coupling of physical fields. The efficient and fully parallelised algorithms directly support the coupling of physical fields defined on unstructured and block-structured numerical grids.
A lightweight software library has been developed to realise the coupling of Earth system model...
