scholarly journals DiRong1.0: a distributed implementation for improving routing network generation in model coupling

2020 ◽  
Vol 13 (12) ◽  
pp. 6253-6263
Author(s):  
Hao Yu ◽  
Li Liu ◽  
Chao Sun ◽  
Ruizhe Li ◽  
Xinzhu Yu ◽  
...  
Keyword(s):  
Data Transfer ◽  
System Model ◽  
Model Coupling ◽  
Earth System ◽  
Major Step ◽  
Network Generation ◽  
Broadcast Communication ◽  
Distributed Implementation ◽  
Component Models ◽  
Processor Cores

Abstract. A fundamental functionality of model coupling in an Earth system model is to efficiently handle data transfer between component models. An approach of M×N communication following a routing network has been used widely used for data transfer, and routing network generation becomes a major step required to initialize data transfer functionality. Some existing coupling software such as the Model Coupling Toolkit (MCT) and the existing versions of the Community Coupler (C-Coupler) employ a global implementation of routing network generation that relies on gather–broadcast communications, which can be very inefficient under a case of a large number of processes. This is an important reason why the initialization cost of a coupler increases with the number of processor cores. In this paper, we propose a “distributed implementation for routing network generation, version 1.0” (DiRong1.0), which does not introduce any gather–broadcast communication. Empirical evaluations show that DiRong1.0 is much more efficient than the global implementation. DiRong1.0 has already been implemented in C-Coupler2, and we believe that some other couplers can also benefit from it.

scholarly journals A new distributed algorithm for routing network generation in model coupling and its evaluation based on C-Coupler2

2020 ◽  
Author(s):  
Hao Yu ◽  
Li Liu ◽  
Chao Sun ◽  
Ruizhe Li ◽  
Xinzhu Yu ◽  
...  
Keyword(s):  
Distributed Algorithm ◽  
Data Transfer ◽  
System Modeling ◽  
Earth System ◽  
Major Step ◽  
Earth System Modeling ◽  
Network Generation ◽  
Collective Communications ◽  
Component Models ◽  
Processor Cores

Abstract. It is a fundamental functionality of a coupler for Earth system modeling to efficiently handle data transfer between component models. Routing network generation is a major step for initializing the data transfer functionality. Most existing couplers employ an inefficient and unscalable global implementation for routing network generation that relies on collective communications. That’s a main reason why the initialization cost of a coupler increases rapidly when using more processor cores. In this paper, we propose a new Distributed algorithm for Routing network generation (DaRong), which does not introduce any collective communication and achieves much lower complexities than the global implementation. DaRong is of course much more efficient and scalable than the global implementation, which has been further demonstrated via empirical evaluations. DaRong has already been implemented in C-Coupler2. We believe that existing and future couplers can also benefit from it.

scholarly journals Temporal and Spatial Matching in Human-Earth System Model Coupling

2018 ◽  
Vol 5 (6) ◽  
pp. 231-239
Author(s):  
Jieming Chou ◽  
Chuanye Hu ◽  
Wenjie Dong ◽  
Jinghan Ban
Keyword(s):  
Earth System Model ◽  
System Model ◽  
Model Coupling ◽  
Earth System ◽  
Temporal And Spatial

scholarly journals 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

2016 ◽  
Vol 9 (1) ◽  
pp. 125-135 ◽  
Author(s):  
A. J. G. Baumgaertner ◽  
P. Jöckel ◽  
A. Kerkweg ◽  
R. Sander ◽  
H. Tost
Keyword(s):  
Atmospheric Chemistry ◽  
Atmospheric Model ◽  
The United States ◽  
Earth System Model ◽  
System Model ◽  
Climate Modelling ◽  
Earth System ◽  
Spectral Transform ◽  
Community Earth System Model ◽  
Component Models

Abstract. The Community Earth System Model (CESM1), maintained by the United States National Centre for Atmospheric Research (NCAR) is connected with the Modular Earth Submodel System (MESSy). For the MESSy user community, this offers many new possibilities. The option to use the Community Atmosphere Model (CAM) atmospheric dynamical cores, especially the state-of-the-art spectral element (SE) core, as an alternative to the ECHAM5 spectral transform dynamical core will provide scientific and computational advances for atmospheric chemistry and climate modelling with MESSy. The well-established finite volume core from CESM1(CAM) is also made available. This offers the possibility to compare three different atmospheric dynamical cores within MESSy. Additionally, the CESM1 land, river, sea ice, glaciers and ocean component models can be used in CESM1/MESSy simulations, allowing the use of MESSy as a comprehensive Earth system model (ESM). For CESM1/MESSy set-ups, the MESSy process and diagnostic submodels for atmospheric physics and chemistry are used together with one of the CESM1(CAM) dynamical cores; the generic (infrastructure) submodels support the atmospheric model component. The other CESM1 component models, as well as the coupling between them, use the original CESM1 infrastructure code and libraries; moreover, in future developments these can also be replaced by the MESSy framework. Here, we describe the structure and capabilities of CESM1/MESSy, document the code changes in CESM1 and MESSy, and introduce several simulations as example applications of the system. The Supplements provide further comparisons with the ECHAM5/MESSy atmospheric chemistry (EMAC) model and document the technical aspects of the connection in detail.

scholarly journals Implementation of the Community Earth System Model (CESM1, version 1.2.1) as a new basemodel into version 2.50 of the MESSy framework

2015 ◽  
Vol 8 (8) ◽  
pp. 6523-6550
Author(s):  
A. J. G. Baumgaertner ◽  
P. Jöckel ◽  
A. Kerkweg ◽  
R. Sander ◽  
H. Tost
Keyword(s):  
Surface Pressure ◽  
Atmospheric Chemistry ◽  
The United States ◽  
Earth System Model ◽  
System Model ◽  
Climate Modelling ◽  
Earth System ◽  
Dynamical Core ◽  
Community Earth System Model ◽  
Component Models

Abstract. The Community Earth System Model (CESM1), maintained by the United States National Centre for Atmospheric Research (NCAR) is connected with the Modular Earth Submodel System (MESSy). For the MESSy user community, this offers many new possibilities. The option to use the CESM1(CAM) atmospheric dynamical cores, especially the spectral element (SE) core, as an alternative to the ECHAM5 spectral transform dynamical core will provide scientific and computational advances for atmospheric chemistry and climate modelling with MESSy. The SE dynamical core does not require polar filters since the grid is quasi-uniform. By advecting the surface pressure rather then the logarithm of surface pressure the SE core locally conserves energy and mass. Furthermore, it has the possibility to scale to up to 105 compute cores, which is useful for current and future computing architectures. The well-established finite volume core from CESM1(CAM) is also made available. This offers the possibility to compare three different atmospheric dynamical cores within MESSy. Additionally, the CESM1 land, river, sea ice, glaciers and ocean component models can be used in CESM1/MESSy simulations, allowing to use MESSy as a comprehensive Earth System Model. For CESM1/MESSy setups, the MESSy process and diagnostic submodels for atmospheric physics and chemistry are used together with one of the CESM1(CAM) dynamical cores; the generic (infrastructure) submodels support the atmospheric model component. The other CESM1 component models as well as the coupling between them use the original CESM1 infrastructure code and libraries, although in future developments these can also be replaced by the MESSy framework. Here, we describe the structure and capabilities of CESM1/MESSy, document the code changes in CESM1 and MESSy, and introduce several simulations as example applications of the system. The Supplements provide further comparisons with the ECHAM5/MESSy atmospheric chemistry (EMAC) model and document the technical aspects of the connection in detail.

scholarly journals Análise de projeções das mudanças climáticas sobre precipitação e temperatura nas regiões hidrográficas brasileiras para o século XXI

2020 ◽  
Vol 55 (3) ◽  
pp. 420-436
Author(s):  
Greicy Kelly Da Silva ◽  
Cleiton Da Silva Silveira ◽  
Marx Vinicius Maciel da Silva ◽  
Antônio Duarte Marcos ◽  
Francisco De Assis Souza ◽  
...  
Keyword(s):  
Regional Climate ◽  
Earth System Model ◽  
System Model ◽  
Climate Modelling ◽  
Geophysical Fluid Dynamics Laboratory ◽  
Earth System ◽  
Max Planck ◽  
Environment Model ◽  
Medium Resolution ◽  
Component Models

A fim de obter informações acerca dos possíveis impactos no regime doscampos de precipitação e no regime de temperatura nas regiões hidrográficasbrasileiras em decorrência do aumento das emissões de gases de efeito estufa,este trabalho teve como objetivo analisar as projeções resultantes de novemodelos participantes do Coordinated Regional Climate Downscaling Experiment(CORDEX), considerando os cenários representative concentration pathways(RCP) 4.5 e RCP8.5 para o século XXI. Os modelos utilizados foram: Canadian Centrefor Climate Modelling and Analysis – Canadian Earth System Model (The secondgeneration) (CCCma-CanESM2), Commonwealth Scientific and IndustrialResearch Organization (version Mk3-6-0) (CSIRO-Mk3-6-0), Irish Centre for HighEnd Computing – European Community – EARTH (ICHEC-EC-EARTH), InstitutPierre Simon Laplace – 5 Component Models version A – Medium Resolution(IPSL-CMSA-MR), Model for Interdisciplinary Research on Climate version 5(MIROC5), Hadley Center Global Environment Model version 2 – Earth System(HadGEM2-ES), Max Planck Institute – Meteorology – Earth System Model (MPIM-ESM), Norwegian Climate Centre – Norwegian Earth System Model version1 – Medium resolution (NCC-NorESM1-M) e National Oceanic and AtmosphericAdministration – Geophysical Fluid Dynamics Laboratory – Earth System Modelversion 2M (NOAA-GFDL-ESM2M). Foram analisadas as anomalias e a tendênciados campos de precipitação e temperatura médias anuais no período de 2006a 2095. Todos os modelos projetaram aumento da temperatura em todas asregiões. Para o cenário RCP8.5, a anomalia da temperatura indicou aumentode até 1,58ºC na região hidrográfica amazônica. A precipitação também podeaumentar em algumas regiões hidrográficas. A mediana das anomalias sugeriuaumentos entre 10 e 30% no Atlântico Leste, Atlântico Nordeste Ocidental,Atlântico Nordeste Oriental, Paraguai, Parnaíba, Tocantins-Araguaia e SãoFrancisco. Anomalias negativas foram identificadas no sudeste e principalmenteno sul do Brasil, indicando reduções na precipitação. O teste de Mann-Kendall-Sen sugeriu uma possível intensificação no regime de precipitações anuais emgrande parte das regiões hidrográficas, exceto as do Atlântico Sul, Paraná eUruguai. Em ambos os cenários, o teste apontou ausência de tendência na regiãodo Atlântico Sul pela maioria dos modelos. Todos os modelos apresentaramtendência positiva significativa para a temperatura nos dois cenários e em todasas regiões. A maior e a menor tendência de aquecimento foram observadas nonorte e no sul do país, respectivamente.

scholarly journals New method for matching spatial and temporal data inhuman-Earth system model coupling

2020 ◽  
Vol 66 (4-5) ◽  
pp. 526-532
Author(s):  
Wenjie Dong ◽  
Gang Tu ◽  
Jieming Chou ◽  
Chuanye Hu ◽  
Shuyu Wang
Keyword(s):  
Earth System Model ◽  
New Method ◽  
System Model ◽  
Model Coupling ◽  
Temporal Data ◽  
Earth System

Korea Institute of Ocean Science and Technology Earth System Model and Its Simulation Characteristics

2021 ◽  
Author(s):  
Gyundo Pak ◽  
Yign Noh ◽  
Myong-In Lee ◽  
Sang-Wook Yeh ◽  
Daehyun Kim ◽  
...  
Keyword(s):  
Science And Technology ◽  
Earth System Model ◽  
System Model ◽  
Earth System ◽  
Ocean Science

scholarly journals Climate Change Projection in the Twenty-First Century Simulated by NIMS-KMA CMIP6 Model Based on New GHGs Concentration Pathways

2021 ◽  
Author(s):  
Hyun Min Sung ◽  
Jisun Kim ◽  
Sungbo Shim ◽  
Jeong-byn Seo ◽  
Sang-Hoon Kwon ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Changes ◽  
Scientific Information ◽  
Earth System Model ◽  
First Century ◽  
System Model ◽  
The Arctic ◽  
Earth System ◽  
Future Projections ◽  
Twenty First Century

AbstractThe National Institute of Meteorological Sciences-Korea Meteorological Administration (NIMS-KMA) has participated in the Coupled Model Inter-comparison Project (CMIP) and provided long-term simulations using the coupled climate model. The NIMS-KMA produces new future projections using the ensemble mean of KMA Advanced Community Earth system model (K-ACE) and UK Earth System Model version1 (UKESM1) simulations to provide scientific information of future climate changes. In this study, we analyze four experiments those conducted following the new shared socioeconomic pathway (SSP) based scenarios to examine projected climate change in the twenty-first century. Present day (PD) simulations show high performance skill in both climate mean and variability, which provide a reliability of the climate models and reduces the uncertainty in response to future forcing. In future projections, global temperature increases from 1.92 °C to 5.20 °C relative to the PD level (1995–2014). Global mean precipitation increases from 5.1% to 10.1% and sea ice extent decreases from 19% to 62% in the Arctic and from 18% to 54% in the Antarctic. In addition, climate changes are accelerating toward the late twenty-first century. Our CMIP6 simulations are released to the public through the Earth System Grid Federation (ESGF) international data sharing portal and are used to support the establishment of the national adaptation plan for climate change in South Korea.

scholarly journals Zooplankton grazing of microplastic can accelerate global loss of ocean oxygen

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
K. Kvale ◽  
A. E. F. Prowe ◽  
C.-T. Chien ◽  
A. Landolfi ◽  
A. Oschlies
Keyword(s):  
North Pacific ◽  
Grazing Pressure ◽  
System Model ◽  
Earth System ◽  
Primary Producers ◽  
Climate Research ◽  
The North ◽  
Zooplankton Consumption ◽  
The North Pacific ◽  
Organic Particle

AbstractGlobal warming has driven a loss of dissolved oxygen in the ocean in recent decades. We demonstrate the potential for an additional anthropogenic driver of deoxygenation, in which zooplankton consumption of microplastic reduces the grazing on primary producers. In regions where primary production is not limited by macronutrient availability, the reduction of grazing pressure on primary producers causes export production to increase. Consequently, organic particle remineralisation in these regions increases. Employing a comprehensive Earth system model of intermediate complexity, we estimate this additional remineralisation could decrease water column oxygen inventory by as much as 10% in the North Pacific and accelerate global oxygen inventory loss by an extra 0.2–0.5% relative to 1960 values by the year 2020. Although significant uncertainty accompanies these estimates, the potential for physical pollution to have a globally significant biogeochemical signal that exacerbates the consequences of climate warming is a novel feedback not yet considered in climate research.

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