My paper with David Farnham (lead author) and Upmanu Lall titled “Regional Extreme Precipitation Events: Robust Inference From Credibly Simulated GCM Variables” has been published in Water Resources Research.
In this paper (Farnham, Doss-Gollin, & Lall, 2018) we use the Ohio River basin and a GFDL GCM (a global climate model) to explore some questions which are of wide interest to the hydrology and flood risk management communities:
- Are extreme springtime precipitation events relevant for floods well simulated by the GCM? [No]
- Can atmospheric indices associated with the onset of extreme precipitation events be identified from reanalysis? [Yes]
- Are these atmospheric indices credibly simulated by the GCM? [Yes]
- If GCMs represent the large‐scale atmospheric indices more credibly than they do the REP events, can we use the GCM derived atmospheric indices to directly simulate extreme precipitation events in the current and future climate? [Potentially]
Using GCMs to inform the probability of events of interest into the future is an area of active interest, and the problems with many existing approaches are well-known. As such, we hope this paper contributes to the broader investigation of how GCMs can be most useful in the quest to project changes in risk and that it can provoke some interesting thought and discussion.
News & Updates
02 Jul 2020Funded Positions for Ph.D. Students
Want to tackle fundamental challenges in climate risk and adaptive infrastructure?
01 Jul 2020Excited to join Rice CEE
I'm thrilled to announce that I will join the Rice Department of Civil and Environmental Engineering in January 2021
30 Jan 2020New Paper in Journal of Water Resources Management and Planning
(Editorial): Adaptation over Fatalism: Leveraging High-Impact Climate Disasters to Boost Societal Resilience
15 Jun 2019Call for Abstracts: Meeting the challenges of 21st century climate adaptation
We invite you to submit an abstract to our AGU Natural Hazards session 'Meeting the challenges of 21st century climate adaptation'
13 Jun 2019New Paper in Earth's Future
Robust Adaptation to Multiscale Variability