Downscaling of physical risks for climate scenario design

• المؤلفون الرئيسيون: BIFFIS, Enrico, WANG, Shuai
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2022
• الموضوعات: climate change; climate models; climate scenarios; machine learning techniques; Southeast Asia; Asian Studies; Environmental Sciences; Environmental Studies
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/skbi/18; https://ink.library.smu.edu.sg/context/skbi/article/1017/viewcontent/Downscaling_of_Physical_Risks_for_Climate_Scenario_Design_White_Paper_Final.pdf

Southeast Asia is arguably one of the areas most vulnerable to natural disasters due to its dense population, coastal urbanization, and rainfall variability driven by the local monsoon systems. In this report, we focus on the impact of global warming in the region along four climate dimensions: temp...