Vadim Rezviv presented his PhD thesis in ITMO university

Congratulations to Vadim Rezvov with his successful talk in ITMO

We are delighted to congratulate Vadim Rezvov on the successful presentation of his PhD research at ITMO University. His seminar, “Statistical Downscaling of Atmospheric Wind Fields for Oceanographic Modeling,” was very well received by both students and faculty, sparking lively discussion about the merits of neural‐network based approaches versus traditional dynamic nesting. Thanks to Vadim’s clear exposition and thorough validation against ERA5 and high-resolution model outputs, attendees gained valuable insights into cost-effective methods for generating high-resolution atmospheric forcing in regional ocean simulations.

We also extend our gratitude to Anna Kalyuzhnaya of ITMO University, who served as the official opponent of Vadim’s thesis. Her rigorous review in its final form ensured that the work met the highest scholarly standards, and her critical evaluation highlighted the study’s strengths and areas for future exploration.

Today we celebrate one more milestone in Vadim’s career. We look forward to seeing how these downscaling techniques will be further developed and applied in our Laboratory’s ongoing projects on coupled atmosphere–ocean forecasting.

Mikhail Krinitskiy
Mikhail Krinitskiy
Head of lab

Current research interests are machine learning and deep learning of various flavours applied in Earth Sciences started with observational applications, now shifted to generic data mining and natural processes modeling. The main applications are in Atmospheric sciences, including remote sensing, and also in Ocean sciences. There are also some applications in geochemistry and paleoreconstruction applications. Lecturing masters courses “Machine learning for Earth Sciences” and “Deep learning for Earth Sciences,” a.k.a. ML4ES and DL4ES (Rus.) in Moscow Institute of Physics and Technology and in Lomonosov Moscow State University.