C-Coupler1: a Chinese community coupler for   Earth system modeling

Ping, Li; Yang, Guangwen; Wang, Bochong; Zhang, Chendi; Li, R.; Zhang, Zuoqi; Ji, Yindong; Wang, L.

doi:10.5194/gmd-7-2281-2014

Cited by 29 publications

(34 citation statements)

References 32 publications

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“…Studies that achieved a bidirectional coupling of ice sheets with climate models, e.g. Ridley et al (2005), Mikolajewicz et al (2007), Vizcaíno et al (2008Vizcaíno et al ( , 2010Vizcaíno et al ( , 2015, Gregory et al (2012), Lipscomb et al (2013) and Ziemen et al (2014), barely describe the technical coupling, i.e. the projection and interpolation method they use.…”

Section: Introductionmentioning

confidence: 99%

OBLIMAP 2.0: a fast climate model–ice sheet model coupler including online embeddable mapping routines

2016

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Abstract. This paper accompanies the second OBLIMAP open-source release. The package is developed to map climate fields between a general circulation model (GCM) and an ice sheet model (ISM) in both directions by using optimal aligned oblique projections, which minimize distortions. The curvature of the surfaces of the GCM and ISM grid differ, both grids may be irregularly spaced and the ratio of the grids is allowed to differ largely. OBLIMAP's stand-alone version is able to map data sets that differ in various aspects on the same ISM grid. Each grid may either coincide with the surface of a sphere, an ellipsoid or a flat plane, while the grid types might differ. Re-projection of, for example, ISM data sets is also facilitated. This is demonstrated by relevant applications concerning the major ice caps. As the stand-alone version also applies to the reverse mapping direction, it can be used as an offline coupler. Furthermore, OBLIMAP 2.0 is an embeddable GCM–ISM coupler, suited for high-frequency online coupled experiments. A new fast scan method is presented for structured grids as an alternative for the former time-consuming grid search strategy, realising a performance gain of several orders of magnitude and enabling the mapping of high-resolution data sets with a much larger number of grid nodes. Further, a highly flexible masked mapping option is added. The limitation of the fast scan method with respect to unstructured and adaptive grids is discussed together with a possible future parallel Message Passing Interface (MPI) implementation.

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Section: Introductionmentioning

confidence: 99%

OBLIMAP 2.0: a fast climate model–ice sheet model coupler including online embeddable mapping routines

2016

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“…In this work, we investigate how to address the above challenges on the Commu-5 nity Coupler (C-Coupler) platform (Liu et al, 2014). C-Coupler is a Chinese community coupler for Earth system modeling.…”

Section: Introductionmentioning

confidence: 99%

“…A new simulation derived from a previous simulation that has been successfully reproduced (or repeated) should be able to be 10 reproduced (or repeated) by fellow scientists in the future. The C-Coupler platform (Liu et al, 2014) used in this work manages the source code and input data for various simulations. It designs the same manner for uniformly operating various simulations on various hardware platforms.…”

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confidence: 99%

Enhancement for bitwise identical reproducibility of Earth system modeling on the C-Coupler platform

Ping

Zhang

et al. 2015

Preprint

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Abstract. Reliable numerical simulation plays a critical role in climate change study. The reliability includes bitwise identical reproducibility, i.e. bitwise identical result of numerical simulation can be reproduced. It is important to Earth system modeling and has already been used intra modeling groups for the model development. However, it is rarely considered in a wider range even worldwide. To help achieve the worldwide bitwise identical reproducibility, we introduce the detailed implementations for the bitwise identical reproducibility on the Community Coupler (C-Coupler) platform, a uniform runtime software environment that configures, builds and runs the models in the same manner. Moreover, we share a series of experiences and suggestions regarding the bitwise identical reproducibility. We believe that these implementations, experiences and suggestions can be easily extended to other model software platforms and can prospectively advance the model development and scientific researches in the future.

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“…It links component models together to construct a coupled model, and controls the integration of the whole coupled model. A number of couplers now are available for model coupling, e.g., the Model Coupling Toolkit (MCT; Jacob et al, 2015), the Ocean Atmosphere Sea Ice Soil coupling software (OASIS) coupler (Redler et al, 2010;Valcke, 2013), the Earth System Modelling Framework (ESMF; Hill et al, 2004), the CPL6 coupler (Craig et al, 2005), the CPL7 coupler (Craig et al, 2012), the Flexible Modelling System (FMS) coupler (Balaji et al, 2006), the Bespoke Framework Generator (BFG;Ford et al, 2006;Armstrong et al, 2009), and the community coupler version 1 (C-Coupler1; Liu et al, 2014) that include data transfer between component models and data interpolation between different model grids (Valcke et al, 2012). A coupler generally has much smaller overhead than other component models.…”

Section: Introductionmentioning

confidence: 99%

Improving data transfer for model coupling

Zhang

Ping

Yang

et al. 2015

Preprint

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Abstract. Data transfer, which means transferring data fields between two component models or rearranging data fields among processes of the same component model, is a fundamental operation of a coupler. Most of state-of-the-art coupler versions currently use an implementation based on the point-to-point (P2P) communication of the Message Passing Interface (MPI) (call such an implementation "P2P implementation" for short). In this paper, we reveal the drawbacks of the P2P implementation, including low communication bandwidth due to small message size, variable and big number of MPI messages, and jams during communication. To overcome these drawbacks, we propose a butterfly implementation for data transfer. Although the butterfly implementation can outperform the P2P implementation in many cases, it degrades the performance in some cases because the total message size transferred by the butterfly implementation is larger than that by the P2P implementation. To make the data transfer completely improved, we design and implement an adaptive data transfer library that combines the advantages of both butterfly implementation and P2P implementation. Performance evaluation shows that the adaptive data transfer library significantly improves the performance of data transfer in most cases and does not decrease the performance in any cases. Now the adaptive data transfer library is open to the public and has been imported into a coupler version C-Coupler1 for performance improvement of data transfer. We believe that it can also improve other coupler versions.

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C-Coupler1: a Chinese community coupler for Earth system modeling

Cited by 29 publications

References 32 publications

OBLIMAP 2.0: a fast climate model–ice sheet model coupler including online embeddable mapping routines

OBLIMAP 2.0: a fast climate model–ice sheet model coupler including online embeddable mapping routines

Enhancement for bitwise identical reproducibility of Earth system modeling on the C-Coupler platform

Improving data transfer for model coupling

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