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An ensemble deep learning approach to spatiotemporal tropospheric ozone forecasting in Tehran

Rezaali, M., Jahangir, M. S., Fouladi-Fard, R., & Keellings, D. (2024). An ensemble deep learning approach to spatiotemporal tropospheric ozone forecasting: A case study of Tehran, Iran. Urban Climate, 55, 101950. DOI: https://doi.org/10.1016/j.uclim.2024.101950. This study proposes a novel framework for spatiotemporal forecasting of Ground-level Ozone Concentration (GOC) using advanced machine learning techniques, including Artificial Neural […]

A Climate Extremes Resilience Index for the Conterminous United States

KEELLINGS, NARAYANAN – A Climate Extremes Resilience Index for the Conterminous United States Anuska Narayanan, Brad G. Peter, David Keellings Article first published online: 08 January 2024 DOI: https://doi.org/10.1175/WCAS-D-23-0008.1 ABSTRACT: In recent decades, changes in precipitation, temperature, and air circulation patterns have led to increases in the occurrences of extreme weather events. These events can have […]

Extreme floods and their relationship with tropical cyclones in Puerto Rico

HERNANDEZ AYALA, KEELLINGS, WAYLEN, MATYAS – Extreme floods and their relationship with tropical cyclones in Puerto Rico José J. Hernández Ayala, David Keellings, Peter R. Waylen & Corene J. Matyas Article first published online: 12 SEPT 2017 Hydrological Sciences Journal DOI: 10.1080/02626667.2017.1368521 ABSTRACT: An extreme value analysis (EVA) point process approach has been implemented to […]