Executive Summary

APCC provides East Asia and global seasonal forecast, BSISO forecast, and climate monitoring information through the APCC homepage so that climate information can be used more valuable in the Asia-Pacific region. In addition to simple climate information delivery through the website, various climate information services have been established and serviced to users so that users can more effectively utilize produced/collected/processed climate data. APCC's climate information service can be classified into three main categories as follows. Firstly, as a tool for providing climate data and information, there is a platform-based climate data service that replaces the existing APCC Data Service System (ADSS) that allows users to download climate data digitally. Second, as a climate information production tool, the CLIK(Climate Information toolKit), that can produce MME (Multi-Model Ensemble) prediction and verification information through various climate model combinations, and that also make a downscaling prediction for each station, have been integrated into the APCC climate service platform. The CLIPs (Climate Information Processing System), which can extract only necessary data from the user-set region, variable, and period, and the OpenWPS(Open Web Processing Service), which provides masking information based on geographic information for precise data extraction, has been integrated into the platform. Finally, there is the APCC Integrated Modeling Solution(AIMS), a client software that produces statistical downscaling and evaluation information on seasonal forecasts and climate change scenarios.

Not only the stable operation and improvement of APCC climate information services but also efforts to exchange and spread internally and externally the technology of APCC climate information services. In addition, more systematic operations and strengthened user support in operating climate information services are continuously being pursued, and provide our best support for the joint establishment and operation of the ESGF data node and climate prediction system cooperative development system based on the demand of the NIMS(National Institute of Meteorological Sciences).

The objectives of the project for this year are divided into mainly two parts: the stable operation and improvement of APCC climate information services and the hierarchical design based on dynamic climate information service technology. In addition to the stable operation of the APCC climate information service, we conducted research and development focusing on the user interface for stabilizing the integrated climate service platform, algorithm improvement and ERA5 re-analysis data service, follow-up measures after integration of individual climate information services, improvement of user authentication convenience, and providing online tutorial service. The second objective, dynamic climate information services-based design, has secured a variety of infrastructure technologies and successful design to build a dynamic climate information service in APCC that allows users to select and express information and obtain comprehensive information over the website.