Sensor Observation Service API for Providing Gridded Climate Data to Agricultural Applications

Rassarin Chinnachodteeranun and Kiyoshi Honda
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Rassarin Chinnachodteeranun: Graduate School of Engineering, Chubu University 1200 Matsumoto, Aichi Prefecture, Kasugai 487-0027, Japan
Kiyoshi Honda: Chubu Institute for Advanced Studies, Chubu University 1200 Matsumoto, Aichi Prefecture, Kasugai 487-0027, Japan

Future Internet, 2016, vol. 8, issue 3, 1-16

Abstract: We developed a mechanism for seamlessly providing weather data and long-term historical climate data from a gridded data source through an international standard web API, which was the Sensor Observation Service (SOS) defined by the Open Geospatial Consortium (OGC). The National Agriculture and Food Research Organization (NARO) Japan has been providing gridded climate data consisting of nine daily meteorological variables, which are average, minimum, maximum of air temperature, relative humidity, sunshine duration, solar radiant exposure, downward longwave radiation, precipitation and wind speed for 35 years covering Japan. The gridded data structure is quite useful for spatial analysis, such as developing crop suitability maps and monitoring regional crop development. Individual farmers, however, make decisions using historical climate information and forecasts for an incoming cropping season of their farms. In this regard, climate data at a point-based structure are convenient for application development to support farmers’ decisions. Through the proposed mechanism in this paper, the agricultural applications and analysis can request point-based climate data from a gridded data source through the standard API with no need to deal with the complicated hierarchical data structure of the gridded climate data source. Clients can easily obtain data and metadata by only accessing the service endpoint. The mechanism also provides several web bindings and data encodings for the clients’ convenience. Caching, including the pre-caching mechanism, was developed and evaluated to secure an effective response time. The mechanism enhances the accessibility and usability of the gridded weather data source, as well as SOS API for agricultural applications.

Keywords: web API; standard API; point-based weather; long-term historical weather; gridded data source (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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