Department of Applied Physics
Earth Sciences
Address:
“Campus Auga” Building
Rúa Canella da Costa da Vela 12
Universidade de Vigo
32004 Ourense, Spain
Laboratory: 2.7
e-mail: rogert.sori@uvigo.es
Phone: +34 988 368 781
Scopus ID: 57193382378
ORCID iD: 0000-0001-6699-4595
WoS ResearcherID: AAV-4221-2021
Publications
J. Ernst, M. Stojanovic, R. Sorí (2025) Long-term high-resolution multi-drought indices datasets for Austria derived from ERA5 Land Reanalysis, Data in Brief, DOI: 10.1016/j.dib.2025.111807 (Published) [pdf]
M. Heydarizad, N. Pumijumnong, M. Minaei, P. Salari, R. Sorí, H. Ghalibaf Mohammadabadi (2025) Exploring stable isotope patterns in monthly precipitation across Southeast Asia using contemporary deep learning models and SHapley Additive exPlanations (SHAP) techniques, Isotopes in Environmental and Health Studies, DOI: 10.1080/10256016.2025.2508811 (Published) [pdf]
R. Sorí, M. Stojanovic, A. Pérez-Alarcón, J. Ernst, M. Vázquez, M. Heydarizad, A. Valero-Jorge, O. A. Benedico-Rodríguez, R. Nieto, L. Gimeno (2025) Atmospheric Processes and Mechanisms Involved in Fog Formation, Book, Fog: Formation, Chemistry, Dynamics, Impact and Dissipation. Chapter 2; 9-39 ; DOI: https:10.1007/978-981-96-4422-3_2 (Published) [pdf]
M. Heydarizad, Z. Liu, M. Stojanovic, R. Sorí, H. Ghalibaf Mohammadabadi, A. Ali, M. Minaei (2025) Improving meteorological drought simulation in Iran using wavelet-enhanced deep learning models, Theoretical and Applied Climatology, Vol. 156, 275; DOI: 10.1007/s00704-025-05525-9 (Published) [pdf]
M. Heydarizad, Z. Liu, M. Parker, R. Sorí, T. Mora, E. Thakur (2025) Assessment of Arctic Sea Ice Dynamics and Their Impacts on Precipitation Moisture Sources Using Deep Learning Approaches, Environmental Technology & Innovation, DOI: 10.1016/j.eti.2025.104088 (Published) [pdf]