A new ensemble of climate simulations for Southeast Asia (SEA) is providing fresh insights into how rising temperatures and shifting rainfall patterns may impact the region’s rapidly growing megacities. Produced by dynamically downscaling global climate models under the World Climate Research Programme’s CORDEX initiative, the 21-member CMIP6 CORDEX-SEA ensemble offers a detailed look at future climate conditions—data that could be critical for energy planners, urban developers, and policymakers.
According to lead author P. L. Nguyen of the Climate Change Research Centre at UNSW Sydney, the ensemble captures seasonal rainfall patterns reasonably well but consistently overestimates precipitation, particularly in monsoon-dominated regions. “About two-thirds of the models showed wet biases, which were larger over the Maritime Continent during November–April and over the Mainland during May–October,” Nguyen explains. The models also revealed widespread cold biases in daily mean temperatures, primarily driven by underestimation of daily highs, especially during boreal winter.
These findings aren’t just academic—they have real-world implications, particularly for the energy sector. Overestimating rainfall can lead to underestimation of solar irradiance, potentially skewing renewable energy yield forecasts. Meanwhile, temperature biases could mislead cooling demand projections in urban planning. The research team applied a standardized benchmarking framework to filter out underperforming simulations, ultimately identifying 15 historical runs that met performance expectations.
What makes this study particularly valuable is its focus on model independence. Simulations from the same regional climate model (RCM) family often shared similar bias structures, highlighting the need for diverse model selection in climate impact assessments. From this process, eight simulations across three RCM configurations were chosen for further downscaling to kilometer-scale resolution over SEA’s megacities—data that could directly inform infrastructure resilience planning.
Published in *Geoscientific Model Development* (模型与开发地球科学), the study underscores how high-resolution climate modeling is evolving from broad global projections to actionable regional insights. For industries like energy, where long-term infrastructure investments hinge on accurate climate data, such refined simulations could be a game-changer. As Nguyen notes, the next step involves kilometer-scale downscaling for megacities—bringing climate risk assessment closer to the communities and industries that need it most.