Seppo Pulkkinen
Researcher at Finnish Meteorological Institute
Helsinki, Finland
Summary
👤
Senior🎓
Top SchoolSeppo Pulkkinen is a researcher with nine years of experience specializing in radar-based precipitation estimation and nowcasting, combining applied mathematics, computational statistics and meteorology. Based at the Finnish Meteorological Institute and with postdoctoral work at Colorado State University, he has developed polarimetric radar methods for QPE/QPF, target classification and geostatistical analyses of precipitation. His PhD work produced numerical algorithms for extracting curvilinear patterns and low-dimensional surfaces from noisy data, reflecting a strong foundation in nonlinear optimization and algorithm design. Proficient in C/C++, Fortran, Python, Java and MATLAB/Octave, he has also contributed to open-source nowcasting tools such as pysteps during a MeteoSwiss visit. Comfortable working at the intersection of research and software, he focuses on multidisciplinary solutions for urban and operational radar forecasting.
9 years of coding experience
2 years of employment as a software developer
PhD, Applied Mathematics, PhD, Applied Mathematics at University of TurkuMSc, Applied Mathematics,Computer Science,Physics, MSc, Applied Mathematics,Computer Science,Physics at University of Helsinki
Finnish, English, Swedish
Github Skills (7)
debug10
visualization10
visualizations10
python10
numpy10
data-analysis9
scipy8
Programming languages (2)
Github contributions (4)
fmi-ath/radargaugemerging
Aug 2022 - Apr 2025
Python package for statistical merging of radar and gauge precipitation measurements.
Contributions:1 PR, 37 pushes in 2 years 7 months
pySTEPS/pysteps
Aug 2018 - Jun 2020
Python framework for short-term ensemble prediction systems.
Contributions:27 commits in 1 year 10 months
pythonensembleweather-radarpython-frameworkterm
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