Quan Liu

Department Climate Variability IMPRS
Group IMPRS doctoral candidate Director's Research Group (CVR)
Position Phd Candidate
phone +49 40 41173-205
Email quan.liu@mpimet.mpg.de
Room B 227

Quan Liu | PhD Candidate 


I am doing my PhD through the program IMPRS-ESM at the Max Planck Institute for Meteorology.


IMPRS-ESM Advisory Panel 

Principal Advisor:          Jungclaus, Johann
Co-Advisors:          Matei, Daniela
     Bader, Jürgen
Panel Chair:          Marotzke, Jochem  


PhD Topic

Ocean-atmosphere interactions and their links to weather patterns, teleconnections and climate extremes over the northern hemisphere.

I am interested in changes in internal variability under global warming. Specifically, I am looking at changes in the internally generated North Atlantic Oscillation (NAO) extremes in a warming climate. The NAO extremes play an important role in generating extreme weather events such as heat waves or floods over Europe and North America, which are mainly due to internal variability. However, the study of human impacts on such internally generated NAO extremes is lacking. 


Main courses:

  S_39 Generic Academic Skills                                                            WS 2021/2022             2

  E_323 Practical Deep Learning with Climate Data                            SS 2022                        4

  I_01  Introduction to Earth System Modelling                                   SS 2022                        2

  I_10 EaSyMS Earth System Modeling School                                   SS 2022                        2

  S_36 Climate Dynamics                                                                      SS 2022                        2

  S_90 Good Scientific Code                                                                 SS 2022                        1

  S_91 Roads to Resilience                                                                    SS 2022                        1

 S_41 Advanced Scientific Writing                                                      WS 22/23                     2

 E_329 Communicating Climate Science                                             WS 2022/23                 1

Conferences / workshops

Workshop Multi-annual to Decadal Climate Predictability in the North Atlantic-Arctic, 20-22 September 2021, online, Copenhagen and Bergen

European Geosciences Union (EGU) 2023, 24-28 April 2023, Vienna

ROADMAP meeting project meeting, 13-15 June, Brussels

International Union of Geodesy and Geophysics (IUGG), 17-20 July, Berlin

Main courses:

Meterology Atmospheric Physics
Atmospheric Observation
Modeling and Analysis of Land Surface and Ecological Processes
Nonlinear Atmospheric Dynamics, Eddy-Mean Flow Interaction and Extreme Weather Events
Remote sensing Remote Sensing Intelligent Computing and Information Extraction
Image Processing and Analysis
Hyperspectral Remote Sensing  
Machine learning Introduction to Machine Learning Remote Sensing Image Processing
Introduction to Dialectics of Nature Computer Vision
Deep Learning
Fundamentals and Applications of Intelligent Computers
Python for Scientific Computation and Data Analysis Advanced Synoptic Meteorology


Master thesis:

Northern midlatitude snow cover change and its potential causes research


Bachelor thesis:

Analysis of the genesis of Anjiayingzi lead-zinc deposit and prospect of deep-searching for mineralisation

More about me