CDL investigates the causes and changing characteristics of high-impact climate extremes that are becoming more frequent and intense under climate change. Our research focuses on cold surges, heatwaves, and typhoons, using observational records, reanalysis products, and climate model simulations. We aim to identify physical mechanisms, assess future risks, and improve early warning and prediction systems that are crucial for disaster preparedness and public safety.
Climate Zone Shifts and Risk Assessment
Global warming is altering the spatial distribution of climate zones, with serious implications for ecosystems, agriculture, water security, and infrastructure. We study how climate zones shift over time and what risks these shifts pose to different regions. We conduct climate risk assessments that combine physical climate indicators with socio-environmental vulnerability metrics to support adaptation planning and long-term resilience strategies.
Global Climate Modeling and Land Surface Processes
To understand complex climate behavior, we utilize global climate models (GCMs) that simulate large-scale atmospheric and oceanic processes, and we handle land surface models that represent energy and moisture exchanges between the surface and the atmosphere. These models are essential for studying feedback mechanisms and for evaluating how land-atmosphere interactions influence the intensity and persistence of regional climate extremes.
Climate Feedback Analysis
One of our core areas of research involves understanding how various components of the climate system respond to external forcing. We apply the Climate Feedback-Response Analysis Method (CFRAM) to attribute temperature changes to specific radiative and non-radiative feedback processes, such as water vapor, clouds, surface albedo, and dynamical processes. This approach allows us to diagnose the role of individual feedbacks in shaping climate phenomena across spatial and temporal scales, providing clearer physical insight into the mechanisms of climate change.
Climate Engineering (Geo-engineering)
To address the urgent need for climate change mitigation, CDL is initiating research into climate engineering technologies, including solar radiation management (SRM) and carbon dioxide removal (CRD). We assess the scientific viability, potential benefits, and unintended consequences of these interventions using Earth system models. Our goal is to provide an objective, science-based perspective on the role these technologies might play in supporting global mitigation strategies.
AI-Based Climate Research
Our research harnesses artificial intelligence to enhance climate data by transforming low-resolution information into high-resolution insights. This approach allows us to capture fine-scale details such as regional temperature shifts, rainfall variability, and extreme weather events that are often missed in conventional datasets. By making climate information more precise and accessible, we aim to support communities, policymakers, and scientists in better preparing for the challenges of a changing climate.