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Earth System Grid Center For Enabling Technologies (ESG-CET)
Mission
The mission of the DOE SciDAC-2 Earth System Grid Center for Enabling Technologies (ESG-CET) project is to provide climate researchers worldwide with access to: data, information, models, analysis tools, and computational resources required to make sense of enormous climate simulation datasets.
Goal
As scientists intensify their dependence on more sophisticated next-generated coupled atmospheric-ocean-sea-ice-land models to predict future climate change, greater need is also placed on the management of climate data and resources. Central to the current and future dissemination of climate data is the Earth System Grid Center for Enabling Technologies (ESG-CET)—a DOE SciDAC-2 project established to build a “science gateway” to climate resources that provides data, information, models, analysis, and visualization tools and computational capabilities for management and analysis.
The ESG-CET project’s goals are: (1) to make data more useful to climate researchers by developing Grid technology that enhances data usability; (2) to meet specific needs which national and international climate projects have for distributed database, data access, and data movement; (3) to provide a universal and secure web-based data access portal for broad-based multimodel data collections; and (4) to provide a wide-range of Grid-enabled climate data analysis tools and diagnostic methods to international climate centers and U.S. government agencies. Thus, ESG-CET is working to integrate distributed data and computers, high-bandwidth wide-area networks, and remote computing using climate data analysis tools in a highly collaborative problem-solving environment.
Data Partners and Stakeholders
Data Partners are organizations that contribute data to the ESG enterprise system. Each partner has its own set of guidelines for determining who gains access to their data. Some data partners provide full support services, which include support (e.g., help-desk), and maintenance (e.g., data management activities). Data Partners have the option to outsource support services, including hosting of their data.
World Climate Research Programme (WCRP)
Coupled Model Intercomparison, Phase 3 (CMIP3) multi-Model Data Archive
The WCRP CMIP3 (IPCC AR4) Multi-Model data archive is the largest international global coupled climate model experiment and multi-model analysis effort ever attempted. The simulation data consists of 12 experiments, each performed by 25 models from 17 climate modeling centers in 13 nations, located on 4 continents. Several modeling centers provided multiple ensembles of each experiment. Of this, the archive contains more than 60,000 simulated years of data, which corresponds to 77,000 files and more than 35 TB.
Community Climate System Model (CCSM)
The CCSM operated at the National Center for Atmospheric Research (NCAR) is widespread in the university community and at some national laboratories. NCAR and its DOE partners developed CCSM as a coupled model, including the atmosphere, land surface, ocean, and sea ice. The coupling was designed to avoid "flux adjustments," a common technique of introducing artificial numerical effects to compensate for physics that are too complicated to be handled directly. A novel governance structure enables interested groups in the scientific community to participate in development and guidance of CCSM, so that it is very much a true “community climate model.”
Carbon Land Model Intercomparison Project (C-LAMP)
The CCSM, through its Carbon-Land Model Intercomparison Project (C-LAMP), is incorporating biogeochemical models, which integrate terrestrial and ocean ecosystems and atmospheric chemical processes to model the effect of the carbon cycle. Initially providing an access-controlled environment, so that members of the C-LAMP Working Group may publish and exchange data exclusively among themselves.
North American Regional Climate Change Assessment Program (NARCCAP)
NARCCAP is an international program that will serve the high resolution climate scenario needs of the United States, Canada, and northern Mexico, using regional climate model, coupled global climate model, and time-slice experiments. NARCCAP users include those interested in regional analysis, impacts studies, and further downscaling.
World Climate Research Programme (WCRP)
Coupled Model Intercomparison, Phase 5 (CMIP5) multi-Model Data Archive
Building upon CMIP3, CMIP 5 expands over 17 countries representing 30 modeling centers and 40+ climate models. There are three main suites of experiments: "Near-Term" (dicadal prediction); "Long-Term" (century & longer); and Atmosphere-Only (for computationally demainding and NWP models).
SciDAC Scalable and Extensible Earth System Model for Climate Change Science
The SciDAC project entitled "Scalable and Extensible Earth System Model for Climate Change Science" is a multi-lab consortium dedicated to improving the physical realism and computational performance of the Community Climate System Model. Improvements include the introduction of carbon and sulfur cycles, new ice sheet model and physical parameterizations and new dynamical cores. Computational performance is focused both on improving scalability and on improving existing models through detailed performance analysis.
Climate-science Computational End Station (CCES)
The Computational Climate End Station (CCES) provides computing and support resources for performing climate simulations at the DOE's high end computing facilities. The primary "instrument" is the Community Climate System Model (CCSM) and many of the supported simulations are focused toward upcoming IPCC assessments and the validation of next generation configurations that emphasize high resolution or the inclusion of biogeochemical processes.
Parallel Ocean Program (POP)
The Parallel Ocean Program (POP) is an ocean general circulation model developed at Los Alamos National Laboratory and based on the earlier Bryan-Cox z-coordinate ocean models. In addition to being the ocean component of the Community Climate System Model (CCSM), POP is used for eddy-resolving global ocean simulations to quantify the role of mesoscale eddies on the ocean circulation.
