CV
Edgar Dolores-Tesillos
Summary
Atmospheric scientist with expertise in extratropical dynamics, blocking, and climate hazards. Experienced in analyzing high-impact weather events and assessing climate risk using large ensemble datasets and high-resolution simulations. Strong programming background (Python, Fortran) and high-performance computing skills. Passionate about applying science to real-world risk challenges.
Education
- Ph.D. in Meteorology2022Freie Universität Berlin
- M.Sc. in Earth Science2018UNAM
- B.Sc. in Atmospheric Sciences2014University of Veracruz
Work Experience
- Postdoctoral Researcher in Atmospheric Processes2025 -Project: Dynamical constraints for the predictability of heat waves in current and future climates (HEATforecast)
- Analysed role of large-scale circulation in shaping the frequency and duration of heatwaves
- Utilized diagnostic tools in Python and leveraged high-performance computing (e.g., ALPS)
- Postdoctoral Researcher in Climate Impacts2023 - 2025Project: Representation and Impacts of Atmospheric Blocking in the nextGEMS
- Assessed biases in blocking frequency, duration, and dynamics in high-resolution climate simulations (e.g., ICON, IFS)
- Evaluated large-scale circulation patterns influencing renewable energy variability and extreme weather in Europe
- Utilized diagnostic tools in Python and leveraged high-performance computing (DKRZ, Levante)
- Engaged in interdisciplinary collaborations and workshops focused on climate hazard impacts
- Ph.D. Researcher2018 - 2022Project: Extratropical Cyclone Dynamics in CESM Large Ensemble
- Investigated shifts in cyclone tracks and changes in wind and precipitation extremes with direct implications for climate risk
- Developed diagnostic, statistical, and visualization tools using Python and Fortran
- Contributed to publications and presented findings at international conferences
Skills
Programming
- Python
- Fortran
- Bash
- R
- MATLAB
Data & Modeling Tools
- netCDF
- CDO
- NCO
- Git
- LaTeX
HPC & Data Handling
- Levante (DKRZ)
- SLURM
- large ensemble workflows
Languages
- Englishfluent
- Spanishnative
- Germanintermediate