Earth System Modelling - Volume 5
Tools for Configuring, Building and Running Models
1st Edition
Published on 5. January 2012
XV, 97 pages
978-3-642-23932-8 (ISBN)
Description
Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the process of configuring, building, and running earth system models. Earth system models are typically a collection of interacting computer codes (often called components) which together simulate the earth system. Each code component is written to model some physical process which forms part of the earth system (such as the Ocean). This book is concerned with the source code version control of these code components, the configuration of these components into earth system models, the creation of executable(s) from the component source code and related libraries and the running and monitoring of the resultant executables on the available hardware.
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XV, 97 p. 23 illus.
File size
3,34 MB
ISBN-13
978-3-642-23932-8 (9783642239328)
DOI
10.1007/978-3-642-23932-8
Schweitzer Classification
Other editions
Additional editions
Rupert Ford | Graham Riley | Reinhard Budich
Earth System Modelling - Volume 5
Tools for Configuring, Building and Running Models
Book
01/2012
Springer
€53.49
Shipment within 7-9 days
Persons
Dr. Rupert Ford, The University of Manchester, UK
Email: rupert@manchester.ac.uk
Content
Introduction.- ESM workflow.- Applying Scientific Workflow to ESM.- Configuration Management and Version Control in Earth System Modelling.- Building Earth System Models.- Running and Monitoring.- General Architectural Principles of job scheduling systems.- Configuring, Building and Running Models in GENIE.- Configuring, Building and Running Models in CIAS.- Conclusions and Future Perspectives.
