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 

刘权|博士研究生

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

Transient atmospheric response to global warming over North Atlantic

Specifically, I am investigating how the summertime North Atlantic Oscillation (NAO) changes in response to global warming. The NAO governs surface weather over Europe, and changes in the NAO under global warming would therefore increase the probability of contrasting severe weather over different regions of Europe. The NAO exhibits strong variability that is generated by internal atmospheric processes. To distinguish the anthrogenic forced signal from the internal variability in the NAO, I use large ensembles of climate simulations.  

Education

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

WCRP Global KM scale hackathon | Hambrug, Germany 2025,05

AGU annual meeting 2024 | Washington D.C, USA 2024,12

Workshop on Technical training on ComIn and YAC | Hamburg, Germany 2024,07

Workshop on Climate Prediction and Services over the Atlantic-Arctic region | Bergen, Norway 2024,05

Rossby waves, heatwaves and compound extreme events | online 2023,11

International Union of Geodesy and Geophysics (IUGG) | Berlin, Germany 2023.07

ROADMAP Annual Meeting 2023 | Brussels, Belgium 2023.06

EGU annual meeting 2023 | Vienna, Austria 2023.04

Earth System Modelling summer School (EaSyMS) | Hamburg, Germany 2022.09

 

Workshop Multi-annual to Decadal Climate Predictability in the North Atlantic-Arctic | Copenhagen, online 2021.09

Main courses:

Meterology Atmospheric Physics
Atmospheric Observation
Eco-Climatology
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 extreme summertime North Atlantic Oscillation under global warming

Summer North Atlantic Oscillations are projected to become more frequent and intense due to amplified variability driven by global warming, according to analyses of large climate model ensembles and reanalysis data.

Read more

More about me

扫描二维码关注我的微信公众号。