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Abstract Global climate models (GCMs) are fundamental tools which generate climate change projections that support decision making. However, their coarse spatial resolution limits their ability to capture local impacts accurately. To address this, dynamically downscaled projections are employed, aiming to refine global model outputs for finer-scale analyses. This study examines whether regional downscaling adds value to GCMs, focusing on rainfall extremes in the Maritime Continent (MC).
1 Introduction To tailor to the needs of the end-users (climate data application developers, hydrologists, agro-meteorologists, etc.) and policymakers (Government Agencies); the climate research community is producing very high-resolution climate data for downstream applications of climate data to various sectors.
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