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STFC Centre for Environmental Data Archival (CEDA) Annual Report 2015 (April 2014-March 2015)
The mission of the Centre for Environmental Archival (CEDA) is to deliver long term curation of scientifically important environmental data at the same time as facilitating the use of data by the environmental science community.
CEDA was established by the amalgamation of the activities of two of the Natural Environment Research Council (NERC) designated data centres: the British Atmospheric Data Centre, and the NERC Earth Observation Data Centre, and consolidated annual reports have been produced since 2009. This annual report presents key statistics for the year past (2014- 2015) as well as a series of snapshots of activity, expressed as short highlights and short reports. Key data centre metrics are also provided.
This year was characterised by the major upgrade in JASMIN capability(JASMIN being the data intensive supercomputer which provides the fabric upon which CEDA and the CEDA services are delivered). As in the advent of JASMIN itself, in early 2012, this has had a major impact both on what CEDA can do, and the services that can be offered to the community — and the uptake in the community is clear to see in the statistics presented here. The consequences for CEDA itself are still being worked through, but it is clear that there is a significant expansion in the role of CEDA staff whose expertise must now embrace support for “big data” tools and algorithms by archive and other users on JASMIN. Notwithstanding this new role, as in previous years, CEDA staff are involved in nearly all the major atmospheric science programmes underway in the UK, in many earth observation programmes, and in a wide range of informatics activities.
Over the years we have reported our key partnerships, and as before, these revolve around our neighbours on the Harwell site (including the Satellite Applications Catapult, with whom we share delivery of the facility for Climate and Environmental Monitoring from Space, CEMS), the European Network for Earth Simulation (with whom we share the delivery of the European component of the Earth System Grid Federation), and many other project collaborators
RAL IASI MetOp-A TIR Methane Dataset v1.0 User Guide
This document is the Product User Guide for the RAL IASI MetOp-A TIR methane v1.0 dataset. It provides users of the dataset with practical information on the file format and content as well as advice on how to correctly interpret the dat
JASMIN Science Case (2016)
JASMIN exists to provide the UK environmental sciences the compute facility they need to deliver cost-effective world class science and impact from the exploitation of data. A £17M investment is needed for the next generation of JASMIN, to maintain the UK’s scientific and competitive edge, facilitating the exploitation of world class environmental science to meet the global societal challenges of the future. Such an investment would build on international leadership and would support:
• The merging of extremely large environmental data sets with the latest earth system models: building downstream growth in space-based environmental services; and underpinning international collaborations.
• The transformation of data into information products and services; JASMIN provides the foundation for the UK environmental information ecosystem: investment will provide greater access to knowledge for a range of users.
• Enabling researchers to better support government usage of environmental hazard data resulting in large-scale societal benefit e.g. development of earthquake monitoring systems.
• The next generation of earth observation and environmental simulation, including for the next phase of the World Climate Research Programme (WCRP) global model intercomparison project (CMIP6) .
The updated JASMIN will deliver cost-effective, world class environmental science, exploiting data for societal benefit. It will be a cutting-edge novel computational environment, ensuring highly-skilled people are retained in the UK from systems engineers to environmental data users, from data scientists and analysts to mathematicians
Met Office MIDAS Quick Start User Guide
This document aims to act as a quick-start guide to using the Met Office Integrated Data Archive System (MIDAS) Land and Marine
Surface Stations Data (1853-current) dataset collection held in the CEDA archives.
This complements information already available on the collection's CEDA data catalogue page. This document gives further information including:
*How Station Data are connected in MIDAS (Station source id)
*Extracting data into columns in Excel
*State indicators
*Quality control (QC) guide
*Met element name _
Climate and forecast metadata conventions: a community driven metadata standard
A poster to show the climate and forecast metadata convention
JASMIN Overview
A Presentation describing the JASMIN Overview.
What is it?
Petascale storage and cloud computing for big data challenges in environmental science
13 Petabytes disk
3600 computing cores (HPC, Virtualisation)
High-performance network design
Private clouds for virtual organisations
For Whom?
Entire NERC community
Met Office
European agencies
Industry partners
For What?
Everything CEDA did before
Curation, Facilitation (e.g. BADC, ESGF, …)
Collaborative workspaces
Scientific analysis environmen
Whats in a name? Managing a controlled vocabulary for climate and forecast data
A poster to describe how to manage a controlled vocabulary for climate and forecast dat
CEDA Annual Report 2015 - 2016
This annual report presents key statistics for the year past (2015 - 2016) as well as a series of snapshots of activity, expressed as short highlights and short reports
A climate information platform for Copernicus
A poster to show CLIPC Climate information platform for Copernicus.
● CLIPC will design a platform to provide access to climate
information of direct relevance to a wide variety of users, from
scientists to policy makers and private sector decision makers;
● The “one-stop-shop” platform will provide data and information on
climate and climate impacts, and ensure that the providence of
science and policy relevant data products is thoroughly
documented;
● Engage with user communities to inform development
Walk softly and carry a large carrot: how to give credit for academic work
Researchers want to know how their work impacts their communities, and the wider world; including research outputs other than peer-reviewed journal publications. The journal paper provides a way of claiming and defining an area of intellectual work, and citation of articles allows the acknowledgement of that work by others. Yet the paper can only give an overview of the work - it is not possible to publish everything into a paper that is needed to make it fully reproducible. For providing credit (and for making recruitment and promotion decisions) we abstract the paper further. Instead of reading every citing paper, we instead count the citations, reckoning this an appropriate proxy for the quality of the paper, and hence the described work. Citation counts for datasets are one of the “carrots” promised to researchers for their efforts in citing and publishing data, also producing a metric by which the quality of a dataset can be evaluated. Quality is a slippery concept when it comes to data, which can be good quality for one purpose, and bad for another. Measuring the impact of research directly is difficult, so we resort to measuring what we can (number of citations). Care must be taken with indirect measurements to ensure that they map appropriately to what we really want to measure. This presentation will address the issue of providing credit, especially for non-article research outputs, using recent surveys on researchers’ desires for evaluating their work’s impact