The Environmental Data Abstraction Library (EDAL): a modular approach to processing and visualising large environmental dataGriffiths, G. ORCID: https://orcid.org/0009-0002-6340-3686, Haines, K. ORCID: https://orcid.org/0000-0003-2768-2374, Blower, J., Lewis, J. and Lin, N. (2014) The Environmental Data Abstraction Library (EDAL): a modular approach to processing and visualising large environmental data. In: 2014 conference on Big Data from Space (BiDS’14), 12-14 November 2014, Frascati, pp. 97-100.
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Abstract/SummaryThe Environmental Data Abstraction Library provides a modular data management library for bringing new and diverse datatypes together for visualisation within numerous software packages, including the ncWMS viewing service, which already has very wide international uptake. The structure of EDAL is presented along with examples of its use to compare satellite, model and in situ data types within the same visualisation framework. We emphasize the value of this capability for cross calibration of datasets and evaluation of model products against observations, including preparation for data assimilation.
Download Statistics DownloadsDownloads per month over past year Deposit Details University Staff: Request a correction | Centaur Editors: Update this record |