Exploiting Metadata in Real Systems and Climate services Sample Clauses

Exploiting Metadata in Real Systems and Climate services. Clearly CHARMe metadata needs to address real problems and real systems, and specific activities are included in the work package descriptions (WP700). Climate data and information is increasingly being used for a wide range of user applications. Traditionally in the past these have been confined to the use of observations for developing historical time-series of the Earth’s climate, based primarily on in-situ observations. This has now fundamentally changed, and climate data and information now comes from space as well as in-situ observations; and gridded output from re-analyses, climate prediction models, and sector specific impact models for example. Attention will focus on the most mature initiatives globally and within Europe to build a picture of development, and to harness and build upon that development. In particular, this will build upon the user surveys, activities and recommendations from projects and initiatives such as ESA CMUG, ACRE, ESA CCI ECV projects (notable SST), the WMO surface temperature initiative, QA4EO, GeoViQua, Metafor, GCOS and the CEOS Working Group on Climate. Work effort will focus on metadata information, formats and standards to move towards a common structure utilising existing structures being developed for observations and gridded model products (both re-analyses and predictive model output). Here we simply list some key relevant climate service projects where CHARMe can add value as a third party commentary metadata provider: ERA-CLIM is a FP7 project which is preparing tools and datasets for the next-generation global climate reanalysis, provides an important stepping stone for the CHARMe approach with the development of an Observation Feedback Archive (OFA) for reanalysis users. This web-based facility will provide open access to all input observations used for reanalysis, supplemented with relevant quality information about the observations such as bias estimates and quality indicators. Traceability of climate data products to individual observations, and unique identification of observations to allow further traceability to deep metadata, is a key requirement both for ERA-CLIM and for the proposed CHARMe concept. EURO4M: The FP7 EURO4M project combines observations from satellites, ground-based stations and regional reanalyses to improve understanding of climate change and variability in Europe. The project develops integrated ECV (Essential Climate Variable) datasets and derived impact relevant indicator products...