Diagnosing Human-Induced Dynamic and Thermodynamic Drivers of Extreme Rainfall

Diagnosing Human-Induced Dynamic and Thermodynamic Drivers of Extreme Rainfall AbstractFactors responsible for extreme monthly rainfall over Texas/Oklahoma during May 2015 are assessed. The event had a return period of at least 400 years, compared to the prior record which was roughly a 100-year event. The event challenges attribution science to disentangle factors because it occurred during a strong El Niño, a natural pattern of variability that affects the region’s springtime rains, and during the warmest global mean temperatures since 1880. Effects of each factor are diagnosed, as is the interplay between El Niño dynamics and human-induced climate change.Analysis of historical climate simulations reveals El Niño was a necessary condition for monthly rains to occur having the severity of May 2015. Our model results further reveal that a 2015 magnitude event, whether conditioned on El Niño or not, was made neither more intense nor more likely due to human-induced climate change over the past century.The intensity of extreme May rainfall over Texas/Oklahoma, analogous to the 2015 event, increases by roughly 5% by the latter half of the 21st Century. No material changes occur in either El Niño-related teleconnections or in overall atmospheric dynamics during extreme May rainfall over the 21st Century. The increased severity of Texas/Oklahoma May rainfall events in the future is principally due to thermodynamic driving, though much less than implied by simple Clausius-Clapeyron scaling arguments given a projected 23% increase in atmospheric precipitable water vapor. Other thermodynamic factors are identified that act in opposition to the increase in atmospheric water vapor thereby reducing effectiveness of overall thermodynamic driving of extreme May rainfall changes over Texas/Oklahoma. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Climate American Meteorological Society

Diagnosing Human-Induced Dynamic and Thermodynamic Drivers of Extreme Rainfall

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0442
D.O.I.
10.1175/JCLI-D-16-0919.1
Publisher site
See Article on Publisher Site

Abstract

AbstractFactors responsible for extreme monthly rainfall over Texas/Oklahoma during May 2015 are assessed. The event had a return period of at least 400 years, compared to the prior record which was roughly a 100-year event. The event challenges attribution science to disentangle factors because it occurred during a strong El Niño, a natural pattern of variability that affects the region’s springtime rains, and during the warmest global mean temperatures since 1880. Effects of each factor are diagnosed, as is the interplay between El Niño dynamics and human-induced climate change.Analysis of historical climate simulations reveals El Niño was a necessary condition for monthly rains to occur having the severity of May 2015. Our model results further reveal that a 2015 magnitude event, whether conditioned on El Niño or not, was made neither more intense nor more likely due to human-induced climate change over the past century.The intensity of extreme May rainfall over Texas/Oklahoma, analogous to the 2015 event, increases by roughly 5% by the latter half of the 21st Century. No material changes occur in either El Niño-related teleconnections or in overall atmospheric dynamics during extreme May rainfall over the 21st Century. The increased severity of Texas/Oklahoma May rainfall events in the future is principally due to thermodynamic driving, though much less than implied by simple Clausius-Clapeyron scaling arguments given a projected 23% increase in atmospheric precipitable water vapor. Other thermodynamic factors are identified that act in opposition to the increase in atmospheric water vapor thereby reducing effectiveness of overall thermodynamic driving of extreme May rainfall changes over Texas/Oklahoma.

Journal

Journal of ClimateAmerican Meteorological Society

Published: Nov 15, 2017

References

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