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Climate Analysis and Modeling

Produce & Provide Custom Detailed Climate Information

Produce high-quality climate information through developing and managing APCC’s climate model
Carry out research on seasonal prediction and sub-seasonal prediction
Increase the specification of climate prediction data through downscaling (regional downscaling)
Explore the effect of combining the Dynamical Downscaling Technique and Statistical Downscaling Technique

Basic Work

The Global Climate Model (GCM) is the basic method for generating climate prediction information, helping to understand climate processes. It provides statistical information on the effects of climate change in the past, present, and future by considering the complicated interactions that produces the climate on a global-scale. The Climate Analysis Team strives to provide more accurate climate prediction information by developing their own climate model.

Another important role of the Climate Analysis Team is to increase the specification of data in spatial and temporal terms for climate application researchers to be able to effectively utilize the climate prediction information. This is done through downscaling climate prediction data. As GCM produces prediction data only for wide ranges, it generates issues when using GCM to generate more detailed regional climate predictions. The Climate Analysis Team addresses this issue by producing high-resolution climate prediction data after adding local features and fragmenting it spatially and timely.