Development of earth/climate system models in China: A review from the Coupled Model Intercomparison Project perspective

Zhou, Tianjun; Zou, Liwei; Wu, Bo; Jin, Chenxi; Song, Fengfei; Chen, Xiaolong; Zhang, Lixia

doi:10.1007/s13351-014-4501-9

Cited by 39 publications

(22 citation statements)

References 50 publications

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“…The SLP and SST output from 12 CMIP5 and 12 CMIP6 models' historical experiments were also collected to evaluate their ability to simulate the ACW (Table 1). The first six of the CMIP5 models were physical climate system models and the last six models were Earth system models with a carbon cycle process [36]. The CMIP6 models were the latest version of the corresponding CMIP5 models.…”

Section: Gridded Datasetsmentioning

confidence: 99%

Evaluation of the Antarctic Circumpolar Wave Simulated by CMIP5 and CMIP6 Models

Zhao

Zhou

2020

Atmosphere

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As a coupled large-scale oceanic and atmospheric pattern in the Southern Ocean, the Antarctic circumpolar wave (ACW) has substantial impacts on the global climate. In this study, using the European Centre for Medium-Range Weather Forecasts ERA5 dataset and historical experiment outputs from 24 models of the Coupled Model Intercomparison Project Phase 5 and Phase 6 (CMIP5/CMIP6) spanning the 1980s and 1990s, the simulation capability of models for sea-level pressure (SLP) and sea surface temperature (SST) variability of the ACW is evaluated. It is shown that most models can capture well the 50-month period of the ACW. However, many simulations show a weak amplitude, but with various phase differences. Selected models can simulate SLP better than SST, and CMIP6 models generally perform better than the CMIP5 models. The best model for SLP simulation is the CanESM5 model from CMIP6, whereas the best model for SST simulation is the ACCESS1.3 model from CMIP5. It seems that the SST simulation benefits from the inclusion of both a carbon cycle process and a chemistry module, while the SLP simulation benefits from only the chemistry module. When both SLP and SST are taken into consideration, the CanESM5 model performs the best among all the selected models.

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Section: Gridded Datasetsmentioning

confidence: 99%

Evaluation of the Antarctic Circumpolar Wave Simulated by CMIP5 and CMIP6 Models

Zhao

Zhou

2020

Atmosphere

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“…There is a long history of LASG/IAP contribution to the Coupled Model Intercomparison Project. The LASG/IAP model participated in the first phase of the CMIP in 1990 and ultimately contributed to five successive phases of the CMIP (Zhou TJ et al, , b). The evaluation and interpretation of model simulations have been cited by each previous IPCC Assessment Report and have provided scientific bases for policy makers.…”

Section: Contributions To Cmip5 and Ipcc Ar5mentioning

confidence: 99%

“…Both the GOALS and FGOALS models have played crucial roles in climate variability and climate change studies. The models have been actively applied in many international projects organized and coordinated by the climate modeling community, including the comparative model calculations in the context of the CMIP (the Coupled Model Intercomparison Project) ( see Guo YF et al, ;Yu YQ et al, ;Zhou TJ et al, ; Yu YQ et al, ; Yu YQ, and Zhou TJ et al, for reviews). The CMIP was promoted by the Working Group on Coupled Modeling (WGCM) of the World Climate Research Program (WCRP).…”

Section: Introductionmentioning

confidence: 99%

The FGOALS climate system model as a modeling tool for supporting climate sciences: An overview

Zhou

Wang

et al. 2018

Earth and Planetary Physics

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Climate system models are useful tools for understanding the interactions among the components of the climate system and predicting/projecting future climate change. The development of climate models has been a central focus of the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences (LASG/IAP) since the establishment of the laboratory in 1985. In China, many pioneering component models and fully coupled models of the climate system have been developed by LASG/IAP. The fully coupled climate system developed in the recent decade is named FGOALS (Flexible Global Ocean‐Atmosphere‐Land System Model). In this paper, an application‐oriented review of the LASG/IAP FGOALS model is presented. The improved model performances are demonstrated in the context of cloud‐radiation processes, Asian monsoon, ENSO phenomena, Atlantic Meridional Overturning Circulation (AMOC) and sea ice. The FGOALS model has contributed to both CMIP5 (Coupled Model Intercomparison Project‐phase 5) and IPCC (Intergovernmental Panel on Climate Change) AR5 (the Fifth Assessment Report). The release of FGOALS data has supported the publication of nearly 500 papers around the world. The results of FGOALS are cited ~106 times in the IPCC WG1 (Working Group 1) AR5. In addition to the traditional long‐term simulations and projections, near‐term decadal climate prediction is a new set of CMIP experiment, progress of LAGS/IAP in the development of near‐term decadal prediction system is reviewed. The FGOALS model has supported many Chinese national‐level research projects and contributed to the national climate change assessment report. The crucial role of FGOALS as a modeling tool for supporting climate sciences is highlighted by demonstrating the model's performances in the simulation of the evolution of Earth's climate from the past to the future.

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“…There are various factors lead to these changes, which comprehensively reflect the complex interactions among atmosphere, hydrosphere, cryosphere, lithosphere, and biosphere within the climate system. The Climate System Model (CSM) as an effective tool for establishing numerical models for simulating the interactions and exploring the nature for the climate change, has received increasing attention with the rapid development of computers in recent decades . After many years of efforts by countless researchers, now there exist many CSMs and their variations for climate prediction.…”

Section: Introductionmentioning

confidence: 99%

PAGCM: A scalable parallel spectral‐based atmospheric general circulation model

Ren

Zhao

et al. 2019

Concurrency and Computation

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The Atmospheric General Circulation Model (AGCM) as one of the most important components of Climate System Model (CSM), has been proved to be an effective way for weather forecasting and climate prediction. Although lots of efforts have been conducted to improve the computing efficiency of AGCMs, such as exploit parallel algorithms, migrating codes, and even redesigning systems to adapt to the emerging computer architectures, it is not enough to match the real requirement, due to the limited scalability of the parallel algorithms themselves. Therefore, we design and implement a scalable parallel spectral-based atmospheric circulation mode called PAGCM in this paper. Specifically, we first analyze the data dependencies of the dimensions in different spaces according to the calculation characteristics of spectral models, and based on which we propose a two-dimensional decomposition algorithm in PAGCM to effectively increase the involving cores for the parallel computing, and thus reduce the overall computing time.Furthermore, to adapt to the novel data decomposition in each computing stage of dynamic framework, we propose three-dimensional data transposition algorithms and data collection algorithms correspondingly, by considering of load balancing and communication optimization.Extensive experiments are conducted on Tianhe-2 to validate the effectiveness and scalability of our proposals. KEYWORDS atmospheric general circulation model, parallel computing, scalability, spectral model INTRODUCTIONGlobal climate and environmental changes under global warming, have been one of the great challenges facing human societies in recent decades.There are various factors lead to these changes, which comprehensively reflect the complex interactions among atmosphere, hydrosphere, cryosphere, lithosphere, and biosphere within the climate system. The Climate System Model (CSM) as an effective tool for establishing numerical models for simulating the interactions and exploring the nature for the climate change, has received increasing attention with the rapid development of computers in recent decades. 1,2 After many years of efforts by countless researchers, now there exist many CSMs and their variations for climate prediction. Particulary, most existing CSMs are the loosely coupled systems consisting of several components. The Atmospheric General Circulation Model (AGCM) as one of the most important components, has been proved to be an effective way for weather forecasting and climate prediction 3-5 and has been a major focus of research in Meteorology and Climatology community.Generally, AGCMs usually require integration of mass data over several years or even decades. 3,6,7 Such large-scale calculations needs powerful computing capability, which forces us to enhance the capability of high performance computing, as well as to exploit more efficient algorithms to improve the computing efficiency. As far as we know, the trend of research on AGCMs mainly lies in improving the accuracy and computing efficiency. To improve the accura...

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Development of earth/climate system models in China: A review from the Coupled Model Intercomparison Project perspective

Cited by 39 publications

References 50 publications

Evaluation of the Antarctic Circumpolar Wave Simulated by CMIP5 and CMIP6 Models

Evaluation of the Antarctic Circumpolar Wave Simulated by CMIP5 and CMIP6 Models

The FGOALS climate system model as a modeling tool for supporting climate sciences: An overview

PAGCM: A scalable parallel spectral‐based atmospheric general circulation model

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