Mikael Karvinen
Department | Climate Variability IMPRS |
Group | IMPRS doctoral candidate Director's Research Group (CVR) |
Position | Phd Candidate |
phone | +49 40 41173-116 |
mikael.karvinen@mpimet.mpg.de | |
Room | B 206 |
Scientific Interests
My background is in meteorology and I am particularly interested in atmospheric dynamics and thermodynamics at meso- and synoptic scales. The working title of my PhD is "Tropical Cyclones in a Warming World" and I am currently using the ICON model to study the internal variability of tropical cyclones and how their intensity and frequency respond to the climate change.
Supervisors: Prof. Dr. Jochem Marotzke (MPI-M), Dr. Nils Brüggemann (MPI-M), Dr. Marja Bister (University of Helsinki)
Ph.D. Candidate in Physical Oceanography / Earth System Sciences
University of Hamburg & Max Planck Institute for Meteorology, Mar 2023 - present
Working title of the thesis: Tropical Cyclones in a Warming World
M.Sc. in Meteorology
University of Helsinki, Sep 2021 - Nov 2022
Erasmus exchange at the University of Munich, Apr 2022 - Aug 2022
Thesis: Gravity Variations in Climate Modelling
B.Sc. in Physics (specialisation in Meteorology)
University of Helsinki, Sep 2017 - Jun 2021
Thesis: Why did precipitation decrease drastically in the Sahelian Region in the late 20th century?
PhD Candidate
Max Planck Institute for Meteorology, Hamburg, Germany
Mar 2023 - present
Research assistant
Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Finland
- May 2020 - Feb 2021: I used the ICTP AGCM climate model (nicknamed "SPEEDY") to study the effect of gravity variations on atmospheric general circulation and energy fluxes.
- May 2021 - Aug 2021: I used OpenIFS output data to convert pressure fields into spherical harmonics. Part of a project aiming to improve the accuracy of weather forecasts by using satellite measurements and data assimilation.
- Sep 2022 - Feb 2023: Continuation of the SPEEDY project.
I have been a Teaching Assistant on the following courses:
Climate Dynamics
University of Hamburg, 2023 and 2024
Graduate course
Statitistical Analysis of Observations
University of Helsinki, 2021
Undergraduate course