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.
Highlights
Climate and weather information are essential for farm management and decision support systems in agriculture
Supported by a Japanese national agricultural project, we are developing an application that visualizes the impact of weather variabilities on cropping yield at the farm scale by utilizing Agro-meteorological Grid Square Data system (AmGSD) data through our Sensor Observation Service (SOS) API
It retrieves 30 years of climatological data to generate hundreds of weather scenarios that visualize the variability of possible future weather
Summary
Climate and weather information are essential for farm management and decision support systems in agriculture. Farmers gain their knowledge by looking at how crops respond to historical climate conditions. Information of future weather and climate in the coming cropping season will help farmers make proper plans for farm management Based on these requirements, agronomists and application developers provide decision support systems, which require historical climate conditions and future weather conditions of the coming season for farmers. We used the gridded climate data source from NARO for this development With this data source, agricultural applications can seamlessly obtain weather data and long-term historical climate data to run simulations and scenario analysis
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