Prediction Research and Development
Climate Services and Research
Enhancing Climate Prediction Services through Innovative Research and Technology
Climate Prediction
Operation of Climate Prediction Systems and Provision of Climate Information Services for the Asia-Pacific Region
Prediction Research & Development
Development of Innovative Technologies for Predicting Climate Extremes
Climate Change Analysis
Assessment of the reproducibility of extreme climate events on a decadal time scale and development of high-resolution downscaling technology to enhance the applicability of climate change analysis
Climate Model Testbed
Operation of the KMA Climate Prediction System Testbed and Establishment of a Verification Framework
Information System and Security
Prediction Research & Development Department
Goal
Development of Innovative Technologies to Enhance Prediction Capabilities for Climate Extremes
Basic Functions
Development of Advanced Subseasonal-to-Seasonal Forecasting Approaches for Seamless Predictions
Exploring Artificial Intelligence Techniques for Better Forecast of Climate Extremes
Support for the KMA’s 1-Month Forecast & Operation of the East-Asia Extreme Climate Monitoring System
Main Research
The Prediction Research Development Department conducts research to extend the APCC’s forecasts to the subseasonal time scale, which is particularly suitable for predicting climate extremes. We are exploring advanced subseasonal-to-seasonal forecasting methods for seamless predictions and are working to enhance the APCC in-house model, SCoPS, to generate subseasonal forecast data.
Our research also focuses on addressing the growing challenges of climate extremes by leveraging Artificial Intelligence technologies to improve the accuracy of climate predictions. This includes developing AI-based models, building inventories of climate extremes tailored for these models, and providing a prototype climate extremes alert system for regions vulnerable to climate disasters.