GC54B-03 – Future Flood Risk in the Tropics as Measured by Changes in Extreme Runoff Intensity is Strongly Influenced by Plant-physiological Responses to Rising CO2

Authors

Gabriel J. Kooperman
University of Georgia
Forrest M. Hoffman (forrest at climatemodeling dot org)
Oak Ridge National Laboratory
Charles Koven
Lawrence Berkeley National Laboratory
Keith Lindsay
National Center for Atmospheric Research
Abigail L. S. Swann
University of Washington
James Tremper Randerson
University of California Irvine

Session

Climate-Hydrology-Human Interactions and Their Implications on Hydrological Extremes in a Changing Environment I
Friday, December 15, 2017 16:30–16:45
New Orleans Ernest N. Morial Convention Center – 265–266

Abstract

Climate change is expected to increase the frequency of intense flooding events, and thus the risk of flood-related mortality, infrastructure damage, and economic loss. Assessments of future flooding from global climate models based only on precipitation intensity and temperature neglect important processes that occur within the land-surface, particularly the impacts of plant-physiological responses to rising CO2. Higher CO2 reduces stomatal conductance, leading to less water loss through transpiration and higher soil moisture. For a given precipitation rate, higher soil moisture decreases the amount of rainwater that infiltrates the surface and increases runoff. Here we assess the relative impacts of plant-physiological and radiative-greenhouse effects on changes in extreme runoff intensity over tropical continents using the Community Earth System Model. We find that extreme percentile rates increase significantly more than mean runoff in response to higher CO2. Plant-physiological effects contribute to only a small increase in precipitation intensity, but are a dominant driver of runoff intensification, contributing to one-half of the 99th percentile runoff intensity change and one-third of the 99.9th percentile change. Comprehensive assessments of future flooding risk need to account for the physiological as well as radiative impacts of CO2 in order to better inform flood prediction and mitigation practices.


Forrest M. Hoffman (forrest at climatemodeling dot org)