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Article

Designing and Implementing Weather Generators as Web Services

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Graduate School of Engineering, Chubu University 1200 Matsumoto, Aichi Prefecture, Kasugai 487-0027, Japan
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School of ICT, Sirindhorn International Institute of Technology 99 Moo 18, Khlong Luang, Pathum Thani 12120, Thailand
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Chubu Institute for Advanced Studies, Chubu University 1200 Matsumoto, Aichi Prefecture, Kasugai 487-0027, Japan
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Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA
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Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA
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International Research Institute for Climate and Society, Columbia University, 61 Rt 9W, Palisades, NY 10964, USA
*
Author to whom correspondence should be addressed.
Academic Editor: William Liu
Future Internet 2016, 8(4), 55; https://doi.org/10.3390/fi8040055
Received: 23 October 2016 / Revised: 30 November 2016 / Accepted: 8 December 2016 / Published: 15 December 2016
(This article belongs to the Special Issue Communications and Computing for Sustainable Development Goals)
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. View Full-Text
Keywords: weather realizations; weather model; Sensor Observation Service; crop model; climatological data weather realizations; weather model; Sensor Observation Service; crop model; climatological data
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MDPI and ACS Style

Chinnachodteeranun, R.; Hung, N.D.; Honda, K.; Ines, A.V.M.; Han, E. Designing and Implementing Weather Generators as Web Services. Future Internet 2016, 8, 55. https://doi.org/10.3390/fi8040055

AMA Style

Chinnachodteeranun R, Hung ND, Honda K, Ines AVM, Han E. Designing and Implementing Weather Generators as Web Services. Future Internet. 2016; 8(4):55. https://doi.org/10.3390/fi8040055

Chicago/Turabian Style

Chinnachodteeranun, Rassarin, Nguyen Duy Hung, Kiyoshi Honda, Amor V. M. Ines, and Eunjin Han. 2016. "Designing and Implementing Weather Generators as Web Services" Future Internet 8, no. 4: 55. https://doi.org/10.3390/fi8040055

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