Paleoclimate data assimilation: Principles and prospects  

作　　者：Haoxun ZHANG Mingsong LI Yongyun HU 

机构地区：[1]Key Laboratory of Orogenic Belts and Crustal Evolution,Ministry of Education,School of Earth and Space Sciences,Peking University,Beijing 100871,China [2]State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development,Beijing 100083,China [3]Laboratory for Climate and Ocean-Atmosphere Studies,Department of Atmospheric and Oceanic Sciences,School of Physics,Peking University,Beijing 100871,China [4]Institute of Ocean Research,Peking University,Beijing 100871,China

出　　处：《Science China Earth Sciences》2025年第2期407-424,共18页中国科学(地球科学英文版)

基　　金：supported by the National Key Research and Development Program of China (Grant Nos. 2022YFF0802900 & 2021YFA0718200);the High-performance Computing Platform of Peking University。

摘　　要：Reconstructing climate states during geological periods is a key focus in studying Earth system evolution. Substantial progress has been achieved in reconstructing paleoclimate and paleoenvironment using both Earth system models and paleoclimate proxies. However, current paleoclimate reconstructions face several challenges: the accuracy of Earth system model simulations relies on model parameter settings. Paleoclimate proxy data exhibit significant variability across different periods and regions, and proxy data are often sparse, hindering the accuracy and global relevance of proxy-based reconstructions.Addressing the pros and cons of these methods, paleoclimate data assimilation can effectively integrate Earth system models and paleoclimate proxy data, enhancing the precision and global relevance of reconstructions. Using approaches such as the ensemble Kalman filter as an example, this paper introduces the principles of paleoclimate data assimilation and reviews recent advancements in reconstructing paleoclimate states using these techniques. Paleoclimate data assimilation offers new insights and advanced techniques for paleoclimate reconstruction, with potential applications extending to the entire Cenozoic, Mesozoic, and even Paleozoic eras. These applications could deepen our understanding of the past climatic backgrounds of extreme climate events such as glacial-interglacial cycles, hyperthermals, and oceanic anoxic events, providing a reference for predicting future climate change.

关 键 词：Paleoclimate state reconstruction Paleoclimate data assimilation Earth system model Paleoclimate proxies Kalman filter 

分 类 号：P532[天文地球—古生物学与地层学]