Team Members

John Fasullo

Co-investigator, 2017-2020, 2021-2024, 2024-2028

Using Satellite Observations to Improve Our Understanding of Future Regional Sea-Level Change and its Impacts; Enhancements to regional sea level projections through targeted coupled climate model simulations; Understanding Future Sea Level Change by Combining NASA Satellite Observations and Climate Models Using Machine Learning

John Fasullo leads societally impactful research aimed at understanding climate variability and change, improving climate models, and supporting the climate science community. He is a member of the Climate Analysis Section at NCAR and a Research Associate in the ATOC Department at the University of Colorado. He is a founding member of community activities such as the Climate Data Guide and Climate Variability Diagnostics Package and is the creator of the Climate Model Analysis Tool.

Related Publications

Fasullo, J. T., Rosenbloom, N., & Buchholz, R. (2023). A multiyear tropical Pacific cooling response to recent Australian wildfires in CESM2. Science Advances, 9(19), eadg1213, doi: 10.1126/sciadv.adg121.

Cheng et al. 2023, Another year of record heat for the oceans, Adv. Atm. Sci., doi: 10.1007/s00376-023-2385-2.

Sinha, S., J. T. Fasullo, R. S. Nerem, and C. Monteleoni, Sea Level Projections with Machine Learning Using Altimetry and Climate Model Ensembles, Tackling Climate Change with Machine Learning, ICLR2023.

Fasullo, J.T., P. Gent, R.S. Nerem 2020; Sea Level Rise in the CESM Large Ensemble: The Role of Individual Climate Forcings and Consequences for the Coming Decades, J. Clim., doi:10.1029/2019JC016030.

Hamlington, B. C. G. Piecuch , J.T. Reager, H. Chandanpurkar, T. Frederikse, R. S. Nerem, J. T. Fasullo, S.-H. Cheon 2020; Origin of Interannual Variability in Global Mean Sea Level, Proc. Nat. Aca. Sci., doi: 10.1073/pnas.1922190117.

Fasullo, J.T., P. Gent, R.S. Nerem 2020; Forced Patterns of Sea Level Rise in the Community Earth System Model Large Ensemble from 1920 to 2100, J. Geo. Res. - Oceans, doi: 10.1029/2019JC016030.