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

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

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...

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書目詳細資料
Main Authors:	Grandey, Benjamin S., Koh, Zhi Yang, Samanta, Dhrubajyoti, Horton, Benjamin Peter, Dauwels, Justin, Chew, Lock Yue
其他作者:	School of Physical and Mathematical Sciences
格式:	Article
語言:	English
出版:	2023
主題:	Science::Physics::Meteorology and climatology Science::Physics::Geophysics and geomagnetism Climate Change Climate Modeling
在線閱讀:	https://hdl.handle.net/10356/171931
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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