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A JavaScript API for the Ice Sheet System Model: towards on online interactive model for the Cryosphere Community.

Authors :
Larour, Eric
Cheng, Daniel
Perez, Gilberto
Quinn, Justin
Morlighem, Mathieu
Bao Duong
Lan Nguyen
Petrie, Kit
Harounian, Silva
Halkides, Daria
Hayes, Wayne
Source :
Geoscientific Model Development Discussions. 2016, p1-18. 18p.
Publication Year :
2016

Abstract

Earth System Models (ESMs) are becoming increasingly complex, requiring extensive knowledge and experience to deploy and use in an efficient manner. They run on high-performance architectures that are significantly different from the everyday environments that scientists use to pre and post-process results (i.e. MATLAB, Python). This results in models that are hard to use for non specialists, and that are increasingly specific in their application. It also makes them relatively inaccessible to the wider science community, not to mention to the general public. Here, we present a new software/model paradigm that attempts to bridge the gap between the science community and the complexity of ESMs, by developing a new JavaScript Application Program Interface (API) for the Ice Sheet System Model (ISSM). The aforementioned API allows Cryosphere Scientists to run ISSM on the client-side of a webpage, within the JavaScript environment. When combined with a Web server running ISSM (using a Python API), it enables the serving of ISSM computations in an easy and straightforward way. The deep integration and similarities between all the APIs in ISSM (MATLAB, Python, and now JavaScript) significantly shortens and simplifies the turnaround of state-of-the-art science runs and their use by the larger community. We demonstrate our approach via a new Virtual Earth System Laboratory (VESL) Web site. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*EARTH system science
*CRYOSPHERE

Details

Language :
English
ISSN :
19919611
Database :
Academic Search Index
Journal :
Geoscientific Model Development Discussions
Publication Type :
Academic Journal
Accession number :
118909277
Full Text :
https://doi.org/10.5194/gmd-2016-179