Environmental informatics at Reading Keith Haines, Jon Blower, Alastair Gemmell, Kevin Yang, Dan Bretherton, Marc Stringer Reading e-Science Centre

Visualization and exploration

Godiva2: interactive visualization of environmental data

MyOcean : GMES Marine Core Service

GIS standardization NASA World Wind Cadcorp SIS Google Earth

Who’s interested in these technologies?

Intercomparison

Model-satellite intercomparison

Model – in situ intercomparison

Control run (model only) Mode water shows in observations (temperature relatively constant with depth). Model doesn’t capture this at all. After assimilation of observed data Model now contains mode water Significantly reduced RMS errors OceanDIVA being used at UK Met. Office (R&D) and by the CLIVAR assimilation project Checks on data assimilation

Data Quality: GeoViQua(.org) Link to data Embed in data Quality visualisation Quality based search GEO Web Portals and mobile devices Standard encodingElicit from metadata Elicit from provenance Quantify (CAL/VAL, in situ) User feedback Elicitation derivation Encoding Embedding and linking Search and Visualisation Label

Summary Small group of technologists embedded in a multidisciplinary science department Aim to produce accessible, easy-to-use applications that help to get the most from environmental data – (open-source where possible) Users in academia, industry and government agencies – Science, data-serving, education, communication Strong links to Met Office, GMES, data providers, data centres, standardization bodies, UK e-Science community (e-Research South) Links with the Earth Observation community are rapidly expanding – NCEO, GEOSS, ESA