CV
庄逸 Yi Zhuang
EDUCATION
- Ph.D in Meteorology, IAP/CAS, 2026 (expected)
- B.S. in Theoretical and Applied Mechanics, University of Chinese Academy of Sciences, 2021
- Exchange student, UC Berkeley, 2020 Spring
- Hang Zhou No.4 High school 2014-2017
PUBLICATIONS
First-authored:
- Yi Zhuang, Wanduo Duan*, Li Dong. Season-dependent Weather predictability barrier phenomenon in the Martian atmosphere, Journal of Geophysical Research: Planets, Under Consideration.
Acknowledged for Contribution:
- 穆穆, 段晚锁, & 秦晓昊. (2025). 确定性天气预报和气候预测的幻灭与新生: 洛伦兹经典混沌论文解读. 中国科学: 地球科学, 55(10), 3541–3551. https://doi.org/10.1360/SSTe-2025-0253
Past-publications:
- 庄逸. (2017). 学霸带你玩转高中数学. 浙江工商大学出版社.
- 庄逸, 朱晋业 & 马敏锐. (2017). 以数驭形 以形辅数——数形结合在压轴题中的运用. 中学数学月刊 (07), 51-52.
RESEARCH EXPERIENCES
The Predictability Barrier of Martian Atmosphere and its Mechanism
2022/08 - present. IAP/CAS, China
Advisor: Prof. Wansuo Duan
- We reveal a novel season-dependent weather predictability barrier phenomenon in the Martian atmosphere by applying the Bred Vector method to the LMD Mars PCM model. Its mechanism is analyzed from dynamical and physical aspects.
- We build numerical optimization program adapting the Spectral Projection Gradient method to solve the Conditional Nonlinear Optimal Perturbation (CNOP) in the LMD Mars model. The CNOP represents initial errors which induce largest forecast error.
- The CNOP is better in capturing initial instabilities, and a new mechanism is revealed. Its further application demonstrates the characteristics of fast-growing initial errors across different sizes and forecast lengths.
- (planned for future research) With the help of CNOP, we may propose the predictability limit for Martian atmosphere.
- (planned for future research) With the help of CNOP, We conduct Observing System Simulation Experiment (OSSE) to quantify the improvement of forecast level through assimilation with targeted observation.
Effects of Topography on Nonlinear Internal Wave in Three-layer Flows
2020/08 - 2021/06. UCAS, China
Advisor: Prof. Zhan Wang
- Through asymptotic analysis, we derive governing equations for weakly nonlinear long wave (KdV and KP equation up to 5th order) in a three-layer shallow water model with topography. Then, we illustrate numerical results with selected representative topography settings.
- link for thesis
Material transport ability of flow induced by ocean internal waves
2019/08 - 2020/12. UCAS, China
Advisor: Prof. Zhan Wang
- We derived the mathematical expression for material transport by wave-induced flows. Then, we explore the characteristics of flows induced by KdV, MCC and DJL type internal waves, and discuss their ability in material transport and contributing factors respectively.
- link for report
CONFERENCES
Major (for career):
- Mars Through Time. 2025/10. Paris, France. poster. Yi Zhuang, Wansuo Duan* and Li Dong. Season-dependent Weather Predictability Barrier (S-WPB) phenomenon in the Martian atmosphere.
- 第八届“非线性大气-海洋科学研讨会”. 2025/08. 中国·内蒙古. Outstanding poster (6/32). 庄逸, 段晚锁*, 董理. 火星大气的季节性天气可预报性障碍现象.
- Distinguished Lectures on Atmospheric & Oceanic Sciences at Peking University 2025. 2025/08. Peking University, China.
- AOGS-2025. 2025/07. Singapore. oral. Yi Zhuang, Wansuo Duan* and Li Dong. Season-dependent Weather Predictability Barrier (S-WPB) phenomenon in the Martian atmosphere.
- 2024全国行星科学大会. 2024/10. 中国·南京.
- Distinguished Lectures on Planetary Atmospheres 2024. 2024/08. Peking University, China.
- Distinguished Lectures on Planetary Atmospheres 2023. 2023/08. Peking University, China.
- 第二届非线性最优化方法夏季讲习班. 2020/08. Online.
- 2020 BASC Symposium. 2020/02. UC Berkeley, USA.
Minor (for career):
- 非线性大气-海洋动力学和可预报性研讨会. 2024/08. 中国·延吉. poster. 庄逸, 段晚锁. 火星大气的可预报性障碍现象
- 第七届“非线性大气-海洋科学研讨会”. 2023/10. 中国·重庆. Supporting Organizer
- 2024年全国大气科学研究生学术论坛. 2024/11. 中国·苏州. oral. 庄逸, 段晚锁. 火星大气的天气可预报性障碍现象
- “大气科学中的非线性数学问题”研讨会. 2023/11. North University of China.
- 第二十届流体力学数值方法研讨会. 2023/03. 中国·南京.
- 台风目标观测研究与外场试验研讨会. 2022/07. Online.
- 第三届非线性最优化方法夏季讲习班. 2021/08. Online.
- 第三届大气、海洋可预报性研讨会. 2021/06. 中国·扬州
PROFESSIONAL SKILLS
- Conduct Experiments with LMD Mars Planetary Climate Model
- Develop Python and Shell scripts or modify model codes to achieve diverse objectives.
- Develop simple assimilation scheme and EGB-SPG optimization program for CNOP calculation.
- Process data and Conduct Numerical Experiments with Python and Matlab
- Obtain data from Martian Climate Database (MCD) through Python interface.
- Post-process and visuallization of atmospheric reanalysis and model experiment data.
- Explore topics numerically, e.g. ENSO recharge ossilator, DJL internal wave simulation.
- Profound Understanding of Research Fundamentals (Which I am eager to give a simple lecture anytime)
- Predictability study, origin of forecast errors, concept and application of CNOP.
- Characteristics and key processes of Martian atmosphere.
- Normal and stochastic dynamical system, PDF evolution governed by Liouville equation.
- Mathematical skills for solving ODE/PDE and deriving atmospheric equations.
- Other practiced technical skills: \LATEX, Git, Vue.js, Mathematica (Wolfram Language Certified Level I), WordPress, etc.
- Language
- Language: English (TOEFL 100 in 2020), Novice French and Japanese.
SELECTED AWARDS AND HONORS
- Merit Student of University of Chinese Academy of Sciences (UCAS) in 2024 & 2019
- Outstanding President of the LASG Student Union Presidium in 2024
- Freshman Scholarship of IAP-CAS in 2020
- Guo Yonghuai Mechanics Honors Scholarship and Competition-Based Scholarship of UCAS 2019
- Mathematical Contest In modeling (2019) Successful Participant
TRANSFERRABLE SKILLS
- Managed research group’s multimedia equipment to ensure seamless hybrid (online/offline) meetings.
- Assisted in hosting 3 visiting international scholars, coordinating their tours and gift exchanges.
- As a member of the LASG Student Union Presidium, lead information collection and equipment man- agement for commencement ceremonies and graduate academic forums.
- Participate in conference logistics including registration, materials distribution, and poster mounting.
HOBBYS
- Personal interest projects (See PIP)
- Numerical Modeling, simulations, optimizations
- Programming techniques
- Theorycrafting
- General
- Tea, Coffee, Foods & Cooking
- Knowledge of Digital Devices and Technology (e.g. Hardware & Software, Network, Peripherals)
- Scientific fictions, movies and video games (Three Body, DSP, NMS)
- Collection Management and Exhibition
- New Age music
