Page 34 - APEC CLIMATE CENTER 2025 Annual Report

APEC CLIMATE CENTER 2025 ANNUAL REPORT

Research Research 2) Main Results

Projects Projects A. User-Customized High-Resolution MME Seasonal Prediction & Verification Pilot
Service
in 2025 in 2025 - Designed and developed the technical framework for user-customized high-resolution

MME seasonal prediction and verification
- Implemented the high-resolution MME seasonal prediction and verification pilot ser-
vice and collected user feedback (official service launch planned for 2026)

B. Stable Operation and Improvement of APCC Climate Information Services
1)
- Modernized the cloud operating environment by transitioning from PaaS-TA , which is
scheduled to end technical support, to the latest K-PaaS 2)
- Enhanced the Homepage-CLIK integrated interface and established a unified web ad-
dress system to achieve web quota targets
- Developed and implemented a new service for accessing user-selected regions on the
Fig 22 Conceptual framework and project schematic for the subseasonal-to-seasonal (S2S)
homepage
forecast utilization system
- Ensured the stable operational management of climate information services:

3) Expected Implications

- Strengthening medium- and extended-range forecast support for the KMA and the
Asia-Pacific region by providing subseasonal-to-seasonal (S2S) forecast information
- Enhancing the uniqueness and competitiveness of APCC climate prediction services
through the integration of subseasonal-to-seasonal (S2S) forecasting technologies

Project 3. Enhancement of Seasonal Prediction Information Systems and
Development of Subseasonal Prediction Infrastructure in the Asia-
Pacific Region

Fig 23 User-customized MME Seasonal Prediction & Verification System
㉖ Mr. Sangcheol Kim (sclow@apcc21.org)

1) Background and Relevance
Glossary
- Service Operations: To ensure service continuity through the stable operation of APCC
1) PaaS-TA (Platform as a Service-
climate information services based on established operational plans and platform mod-
Technical Architecture):
ernization.
An open-source-based open PaaS
- User Support: To provide users with a unified gateway by integrating the homepage and
cloud platform developed by the
climate information tools into a single website system, thereby strengthening inter-ser-
National Information Society Agency
vice connectivity and establishing a foundation for further expansion.
(NIA). It controls cloud infrastructure
- Policy Compliance: To comply with the government's web governance policy by stream-
and supports application develop-
lining the operational system and reorganizing dispersed services into an integrated user
ment, deployment, and operation.
interface (UI).
- High-Resolution Verification Service: To implement a pilot service that provides user-tai-
2) K-PaaS (Korean Platform as a
lored verification information to enhance the utilization and accessibility of high-resolu-
Service): Fig 24 User-customized MME Seasonal Prediction & Verification service UI (Front & End)
tion MME seasonal forecast information.
A collective term for cloud platform
- Service Domain Expansion: To proactively establish a platform-based environment for
services and solutions certified for con-
providing sub-seasonal forecast information, thereby expanding the scope of climate
formity based on the K-PaaS standard
adaptation support in the Asia-Pacific region.
model open source. As the successor
standard to PaaS-TA, it aims to invigo-
rate a private sector-led cloud-native
ecosystem.
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