The GEO Model Web initiative (Articolo in rivista)

  • The GEO Model Web initiative (Articolo in rivista) (literal)
  • 2013-01-01T00:00:00+01:00 (literal)
  • 10.1016/j.envsoft.2012.03.007 (literal)
Alternative label
  • S. Nativi; P. Mazzetti; G. N. Geller (2013)
    The GEO Model Web initiative
    in Environmental modelling & software
  • S. Nativi; P. Mazzetti; G. N. Geller (literal)
Pagina inizio
  • 214 (literal)
Pagina fine
  • 228 (literal)
  • (literal)
  • 39 (literal)
  • ISI Web of Science (WOS) (literal)
  • Google Scholar (literal)
  • Elsevier (literal)
  • CNR-IIA; CNR-IIA; NASA Ecological Forecasting Program, JPL, California Institute of Technology, USA (literal)
  • The GEO Model Web initiative (literal)
  • The Group on Earth Observation (GEO) Model Web initiative utilizes a Model as a Service approach to increase model access and sharing. It relies on gradual, organic growth leading towards dynamic webs of interacting models, analogous to the World Wide Web. The long term vision is for a consultative infrastructure that can help address \"what if\" and other questions that decision makers and other users have. Four basic principles underlie the Model Web: open access, minimal barriers to entry, service-driven, and scalability; any implementation approach meeting these principles will be a step towards the long term vision. Implementing a Model Web encounters a number of technical chal-lenges, including information modelling, minimizing interoperability agreements, performance, and long term access, each of which has its own implications. For example, a clear information model is essential for accommodating the different resources published in the Model Web (model engines, model services, etc.), and aflexible architecture, capable of integrating different existing distributed computing infrastructures, is required to address the performance requirements. Architectural solu-tions, in keeping with the Model Web principles, exist for each of these technical challenges. There are also a variety of other key challenges, including difficulties in making models interoperable; cali-bration and validation; and social, cultural, and institutional constraints. Although the long term vision of a consultative infrastructure is clearly an ambitious goal, even small steps towards that vision provide immediate benefits. A variety of activities are now in progress that are beginning to take those step (literal)
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