Development of RESTful Web Service for Loading Data focusing on Daily Meteorological Data

Abstract Generally data loading is a laborous job to develop models. Meteorological data is basic input data for hydrological models, it is provided through websites of Korea Meteorological Administration (KMA). The website of KMA provides daily meteorological observation data with tabular format classified by years, items, stations. It is cumbersome to mani pulate tabular format for model inputs such as time series and mu lti-item or multi-station data .The provider oriented services which broadcast restricted formed information have caused inconvenient processes. Tim O'Reilly introduces “Web 2.0”which focuses on providing a service based on data. The top ranked IT companies such as google, yahoo, daum, and naver provide customer oriented services with Open API (Application Programming Interface). A REST ful web service, typical implementation for Open API, consist s URI request an dHTTP response which are simple and light weight protocol than S OAP (Simple Object Access Protocol). The aim of this study is to develop a web-base dservice that helps loading data for human use instead of machine use. In this study, the developed RESTful web service provides Open API for manipulating meteorological data. The proposed Open API can easily access from spreadsheet programs, web browsers, and various programming environments.Keywords: Data loading; Meteorological data; Open API; RESTful; Web service*