My research focuses on paleoclimate data assimilation (PDA), climate field reconstruction, and the integration of artificial intelligence (AI) with data assimilation. I am currently working on climate reconstructions of the Last Millennium to improve our understanding of climate variability and dynamics across multiple timescales.
Themes: Paleoclimate DAEnsemble DA Deep Learning
Multi-timescale Localization for Paleoclimate Data Assimilation
Haohao Sun, Lili Lei, Zhe-Min Tan, Liang Ning, and Zhengyu Liu
Journal of Advances in Modeling Earth Systems (JAMES), 2026
An
Ensemble Kalman Smoother for Online Paleoclimate Data Assimilation
Haohao Sun, Lili Lei, Zhe-Min Tan, Liang Ning, and Zhengyu Liu
Journal of Advances in Modeling Earth Systems (JAMES), 2026
Strongly
Coupled Data Assimilation for Paleoclimate Reconstruction Using Deep Learning-Based
Models
Lili Lei, Haohao Sun, Zhe-Min Tan, Liang Ning, and Zhengyu Liu
Journal of Advances in Modeling Earth Systems (JAMES), 2026
An Online Paleoclimate
Data Assimilation with a Deep Learning-Based Network
Haohao Sun, Lili Lei, Zhengyu Liu, Liang Ning, and Zhe-Min Tan
Journal of Advances in Modeling Earth Systems (JAMES), 2025
A Hybrid Gain Analog
Offline EnKF for Paleoclimate Data Assimilation
Haohao Sun, Lili Lei, Zhengyu Liu, Liang Ning, and Zhe-Min Tan
Journal of Advances in Modeling Earth Systems (JAMES), 2024
An Analog Offline EnKF
for Paleoclimate Data Assimilation
Haohao Sun, Lili Lei, Zhengyu Liu, Liang Ning, and Zhe-Min Tan
Journal of Advances in Modeling Earth Systems (JAMES), 2022
The importance of data
assimilation components for initial conditions and subsequent error growth
Zhongrui Wang*, Haohao Sun*, Lili Lei, and Zhe-Min Tan
Science China Earth Sciences, 2023
Reviewer, Journal of Advances in Modeling Earth Systems (JAMES), 2026
Reviewer, Atmospheric Science Letters (ASL), 2025