Monte Carlo drift correction – quantifying the drift uncertainty of global climate models

• Main Authors: Grandey, Benjamin S., Koh, Zhi Yang, Samanta, Dhrubajyoti, Horton, Benjamin Peter, Dauwels, Justin, Chew, Lock Yue
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2023
• Subjects: Science::Physics::Meteorology and climatology; Science::Physics::Geophysics and geomagnetism; Climate Change; Climate Modeling
• Online Access: https://hdl.handle.net/10356/171931
• Institution: Nanyang Technological University

Global climate models are susceptible to drift, causing spurious trends in output variables. Drift is often corrected using data from a control simulation. However, internal climate variability within the control simulation introduces uncertainty to the drift correction process. To quantify this dri...