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CURATOR - Earth System Curator
The Earth System Curator team is creating a software environment for assembling, running, and archiving information about climate models. The idea is to make it easier for scientists to perform modeling experiments, and to coordinate with each other on efforts such as Model Intercomparison Projects (MIPs) and Intergovernmental Panel on Climate Change (IPCC) assessments.
One of the first goals of the Curator project is to help supplement and refine metadata schema such as the Climate and Forecast (CF) and Numerical Model Metadata (NMM) conventions so that they better serve model analysis projects, and so that they are complete and precise enough to serve as the foundation for software tools that can automate workflow tasks. The Curator team will define an extended schema that utilizes CF and NMM conventions.
The Curator will be a set of tools, based on this extended schema, that allows modellers to:
- archive and query models, experiments, model components, and model output
- test the technical compatibility of model components
- assemble and run multi-component models
ENES - European Network for Earth System modelling
ENES is intended to:
- help in the development and evaluation of state-of-the-art climate and Earth system models
- facilitate focused model intercomparisons in order to assess and improve these models
- encourage exchanges of software and model results, and
- help in the development of high performance computing facilities dedicated to long high-resolution multi-model ensemble integrations.
ENES has gathered the community around European projects like PRISM (FP5), ENSEMBLES (FP6), or DYNAMITE (FP6).
ENSEMBLES
The ENSEMBLES project (contract number GOCE-CT-2003-505539) is supported by the European Commission's 6th Framework Programme as a 5 year Integrated Project from 2004-2009 under the Thematic Sub-Priority "Global Change and Ecosystems".
Co-ordinator: Dave Griggs, Director of Climate Research at the Met Office's Hadley Centre for Climate Prediction and Research
The project aims to develop an ensemble prediction system for climate change based on the principal state-of-the-art, high resolution, global and regional Earth System models developed in Europe, validated against quality controlled, high resolution gridded datasets for Europe, to produce for the first time, an objective probabilistic estimate of uncertainty in future climate at the seasonal to decadal and longer timescales. It will be used to quantify and reduce the uncertainty in the representation of physical, chemical, biological and human-related feedbacks in the Earth System (including water resource, land use, and air quality issues, and carbon cycle feedbacks). The project will also maximise the exploitation of the results by linking the outputs of the ensemble prediction system to a range of applications, including agriculture, health, food security, energy, water resources, insurance and weather risk management.
ESMF - Earth System Modeling Framework
The Earth System Modeling Framework (ESMF) collaboration is building high-performance, flexible software infrastructure to increase ease of use, performance portability, interoperability, and reuse in climate, numerical weather prediction, data assimilation, and other Earth science applications. The ESMF defines an architecture for composing multi-component applications and includes data structures and utilities for developing model components. They are aiming to create a framework usable by individual researchers as well as major operational and research centers, and seek to engage the community in its development.
A joint ESMF-PRISM page is available here.
FLUME - FLexible Unified Model Environment
The FLUME project aims to generate a completely new system architecture for the Met Office Unified Model system. Consultants Graham Riley and Rupert Ford from the Centre for Novel Computing at the University of Manchester have been brought in to give a view on what is required. The high-level design and initial implementation plans have been completed and are described in the documents available from the FLUME homepage above.
GEMS - Global and regional Earth-system (Atmosphere) Monitoring using Satellite and in-situ data
The GEMS project will develop and implement at ECMWF a comprehensive, validated, and novel operational global data assimilation / forecast system for atmospheric dynamics and composition, which combines all available remotely sensed and in-situ data to achieve global monitoring of the dynamics and composition of the atmosphere from global to regional scales (50km) and covering the troposphere and stratosphere. GEMS will develop operational state-of-the-art variational estimates of the sources/sinks, plus inter-continental transports, of many trace gases and aerosols; these estimates will be designed to meet, on a monthly or quarterly basis, policy makers' key information requirements relevant to the Kyoto and Montreal protocols and to the UN Convention on Long-Range Trans-boundary Air Pollution.
GENIE - Grid ENabled Integrated Earth system model
This project is funded by the Natural Environment Research Council (NER/T/S/2002/00217) through the e-Science programme.
GENIE aims to develop a Grid-based computing framework which will allow the flexible coupling together of state-of-the-art components to form a unified Earth System Model (ESM). In addition the project aims to make it possible to execute the resulting ESM across a computational Grid, to share the distributed data produced by simulation runs and to provide high-level open access to the system, creating and supporting virtual organisations of Earth System modellers.
GO-ESSP - Global Organisation of Earth System Science Portal
The Global Organization for Earth System Science Portal ( GO-ESSP ) is a collaboration designed to develop a new generation of software infrastructure that will provide distributed access to observed and simulated data from the climate and weather communities. GO-ESSP will achieve this goal by developing individual software components and by building a federation of frameworks that can work together using agreed-upon standards. The GO-ESSP portal frameworks will provide efficient mechanisms for data discovery, access, and analysis of the data.
MERSEA - Marine EnviRonment and Security for the European Area
Development of a European system for operational monitoring and forecasting of the ocean physics, biogeochemistry, and ecosystems, on global and regional scales.
The strategic objective of MERSEA is to provide an integrated service of global and regional ocean monitoring and forecasting to intermediate users and policy makers in support of safe and efficient offshore activities, environmental management, security, and sustainable use of marine resources.
METAFOR - Common Metadata for Climate Modelling Digital Repositories
The main objective of METAFOR is to develop a Common Information Model (CIM) to describe climate data and the models that produce it in a standard way, and to ensure the wide adoption of the CIM. METAFOR will address the fragmentation and gaps in availability of metadata (data describing data) as well as duplication of information collection and problems of identifying, accessing or using climate data that are currently found in existing repositories.
METAFOR will optimize the way climate data infrastructures are used to store knowledge, thereby adding value to primary research data and information, and providing an essential asset for the numerous stakeholders actively engaged in climate change issues (policy, research, impacts, mitigation, private sector).
WCRP - World Climate Research Programme
The objectives of the programme are to develop the fundamental scientific understanding of the physical climate system and climate processes needed to determine to what extent climate can be predicted and the extent of human influence on climate. The programme encompasses studies of the global atmosphere, oceans, sea and land ice, and the land surface which together constitute the Earth's physical climate system. WCRP studies are specifically directed to provide scientifically founded quantitative answers to the questions being raised on climate and the range of natural climate variability, as well as to establish the basis for predictions of global and regional climatic variations and of changes in the frequency and severity of extreme events.
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