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Attributable Human-Induced Changes in the Likelihood and Magnitude of the Observed Extreme Precipitation During Hurricane Harvey

Summary/Abstract

Record rainfall amounts were recorded during Hurricane Harvey in the Houston, Texas, area, leading to widespread flooding. We analyze observed precipitation from the Global Historical Climatology Network with a covariate‐based extreme value statistical analysis, accounting for both the external influence of global warming and the internal influence of El Niño–Southern Oscillation. We find that human‐induced climate change likely increased the chances of the observed precipitation accumulations during Hurricane Harvey in the most affected areas of Houston by a factor of at least 3.5. Further, precipitation accumulations in these areas were likely increased by at least 18.8% (best estimate of 37.7%), which is larger than the 6–7% associated with an attributable warming of 1°C in the Gulf of Mexico and Clausius‐Clapeyron scaling. In a Granger causality sense, these statements provide lower bounds on the impact of climate change and motivate further attribution studies using dynamical climate models.

Mark Risser & Michael Wehner, Attributable Human-Induced Changes in the Likelihood and Magnitude of the Observed Extreme Precipitation During Hurricane Harvey, 44 GEOPHYSICAL RES. LETTERS 12457, 12457 (2017)

Link to Full Report
December 2017
Mark Risser, Michael Wehner
Geophysical Research Letters
Review Article
Gulf of Mexico, North America, Texas, United States
Climate Change Attribution
Climate Change Attribution → Cross-cutting Research
Climate Change Attribution → Oceans
Extreme Event Attribution
Extreme Event Attribution → Extreme Rainfall
Extreme Event Attribution → Storms
Impact Attribution
Impact Attribution → Inland Flooding and Hydrologic Impacts

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