z-logo
open-access-imgOpen Access
A Community Approach to Earth Systems Modeling
Author(s) -
Voinov Alexey A.,
DeLuca Cecelia,
Hood Raleigh R.,
Peckham Scott,
Sherwood Christopher R.,
Syvitski James P. M.
Publication year - 2010
Publication title -
eos, transactions american geophysical union
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2010eo130001
Subject(s) - computer science , modular design , modularity (biology) , documentation , systems engineering , software engineering , software , complex system , system integration , data science , system of systems , software system , distributed computing , database , systems design , artificial intelligence , engineering , programming language , genetics , biology
Earth science often deals with complex systems spanning multiple disciplines. These systems are best described by integrated models built with contributions from specialists of many backgrounds. But building integrated models can be difficult; modular and hierarchical approaches help to manage the increasing complexity of these modeling systems, but there is a need for framework and integration methods and standards to support modularity. Complex models require many data and generate lots of output, so software and standards are required for data handling, model output, data distribution services, and user interfaces. Complex modeling systems must be efficient to be useful, so they require contributions by software engineers to ensure efficient architectures, accurate numerics, and implementation on fast computers. Further, integrated model systems can be difficult to learn and use unless adequate documentation, training, and support are provided.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here