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Designing and Implementing Weather Generators as Web Services

Author

Listed:
  • Rassarin Chinnachodteeranun

    (Graduate School of Engineering, Chubu University 1200 Matsumoto, Aichi Prefecture, Kasugai 487-0027, Japan)

  • Nguyen Duy Hung

    (School of ICT, Sirindhorn International Institute of Technology 99 Moo 18, Khlong Luang, Pathum Thani 12120, Thailand)

  • Kiyoshi Honda

    (Chubu Institute for Advanced Studies, Chubu University 1200 Matsumoto, Aichi Prefecture, Kasugai 487-0027, Japan)

  • Amor V. M. Ines

    (Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA
    Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA)

  • Eunjin Han

    (Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA
    International Research Institute for Climate and Society, Columbia University, 61 Rt 9W, Palisades, NY 10964, USA)

Abstract

Climate and weather realizations are essential inputs for simulating crop growth and yields to analyze the risks associated with future conditions. To simplify the procedure of generating weather realizations and make them available over the Internet, we implemented novel mechanisms for providing weather generators as web services, as well as a mechanism for sharing identical weather realizations given a climatological information. A web service for preparing long-term climate data was implemented based on an international standard, Sensor Observation Service (SOS). The weather generator services, which are the core components of the framework, analyze climatological data, and can take seasonal climate forecasts as inputs for generating weather realizations. The generated weather realizations are encoded in a standard format, which are ready for use to crop modeling. All outputs are generated in SOS standard, which broadens the extent of data sharing and interoperability with other sectoral applications, e.g., water resources management. These services facilitate the development of other applications requiring input weather realizations, as these can be obtained easily by just calling the service. The workload of analysts related to data preparation and handling of legacy weather generator programs can be reduced. The architectural design and implementation presented here can be used as a prototype for constructing further services on top of an interoperable sensor network system.

Suggested Citation

  • Rassarin Chinnachodteeranun & Nguyen Duy Hung & Kiyoshi Honda & Amor V. M. Ines & Eunjin Han, 2016. "Designing and Implementing Weather Generators as Web Services," Future Internet, MDPI, vol. 8(4), pages 1-24, December.
    • Handle: RePEc:gam:jftint:v:8:y:2016:i:4:p:55-:d:85236
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    References listed on IDEAS

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    1. Rassarin Chinnachodteeranun & Kiyoshi Honda, 2016. "Sensor Observation Service API for Providing Gridded Climate Data to Agricultural Applications," Future Internet, MDPI, vol. 8(3), pages 1-16, August.
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