Yulia Zyulyaeva
- Associate Professor:Faculty of Geography and Geoinformation Technology
- Yulia Zyulyaeva has been at HSE University since 2022.
Education and Degrees
- 2020
Candidate of Sciences* (PhD)
- 2002
Degree
Lomonosov Moscow State University
* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Courses (2023/2024)
- Landscape and Energy (Bachelor’s programme; Faculty of Geography and Geoinformation Technology; 2 year, 3, 4 module)Rus
- Natural Resource Management (Bachelor’s programme; Faculty of Geography and Geoinformation Technology; 3 year, 1, 2 module)Rus
- Past Courses
Courses (2022/2023)
Landscape and Energy (Bachelor’s programme; Faculty of Geography and Geoinformation Technology; 2 year, 4 module)Rus
Publications2
- Article Sobaeva D., Zyulyaeva Y., Gulev S. ENSO and PDO Effect on Stratospheric Dynamics in Isca Numerical Experiments // Atmosphere. 2023. Vol. 14. No. 3. Article 459. doi
- Article Селиванова Ю., Зюляева Ю. А., Зверяев И. И. Температурный режим г.Мурманск за последние 70 лет: изменчивость и экстремальные события // Метеорология и гидрология. 2022. № 2. С. 106-118. doi
Conferences
2022
IV Всероссийская конференция с международным участием Турбулентность, динамика атмосферы и климата, посвященная памяти академика Александра Михайловича Обухова (Москва). Presentation: Динамика стратосферно-тропосферного взаимодействия в различные фазы Эль-Ниньо Южного Колебания и Тихоокеанского десятилетнего колебания в идеализированных модельных экспериментах