Accessibility navigation


The Environmental Data Abstraction Library (EDAL): a modular approach to processing and visualising large environmental data

Griffiths, 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.

[img]
Preview
Text - Published Version
· Please see our End User Agreement before downloading.

6MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Abstract/Summary

The 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.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:38949

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation