Causes and Probability of Occurrence of Extreme Precipitation Events like Chennai 2015

Lakshmi Krishnamurthy NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey

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Gabriel A. Vecchi Department of Geosciences, Princeton University, Princeton, New Jersey
Princeton Environmental Institute, Princeton University, Princeton, New Jersey

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Xiaosong Yang NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
University Corporation for Atmospheric Research, Boulder, Colorado

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Karin van der Wiel Royal Netherlands Meteorological Institute, De Bilt, Netherlands

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V. Balaji NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
Cooperative Institute for Climate Science, Princeton University, Princeton, New Jersey

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Sarah B. Kapnick NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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Liwei Jia NOAA/NWS/NCEP/Climate Prediction Center, College Park, Maryland
Innovim, LLC, Greenbelt, Maryland

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Fanrong Zeng NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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Karen Paffendorf NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey

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Seth Underwood NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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Abstract

Unprecedented high-intensity flooding induced by extreme precipitation was reported over Chennai in India during November–December of 2015, which led to extensive damage to human life and property. It is of utmost importance to determine the odds of occurrence of such extreme floods in the future, and the related climate phenomena, for planning and mitigation purposes. Here, a suite of simulations from GFDL high-resolution coupled climate models are used to investigate the odds of occurrence of extreme floods induced by extreme precipitation over Chennai and the role of radiative forcing and/or large-scale SST forcing in enhancing the probability of such events in the future. The climate of twentieth-century experiments with large ensembles suggest that the radiative forcing may not enhance the probability of extreme floods over Chennai. Doubling of CO2 experiments also fails to show evidence for an increase of such events in a global warming scenario. Further, this study explores the role of SST forcing from the Indian and Pacific Oceans on the odds of occurrence of Chennai-like floods. Neither El Niño nor La Niña enhances the probability of extreme floods over Chennai. However, a warm Bay of Bengal tends to increase the odds of occurrence of extreme Chennai-like floods. In order to trigger a Chennai like-flood, a conducive weather event, such as a tropical depression over the Bay of Bengal with strong transport of moisture from a moist atmosphere over the warm Bay, is necessary for the intense precipitation.

© 2018 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Lakshmi Krishnamurthy, lakshmi.krishnamurthy@noaa.gov

Abstract

Unprecedented high-intensity flooding induced by extreme precipitation was reported over Chennai in India during November–December of 2015, which led to extensive damage to human life and property. It is of utmost importance to determine the odds of occurrence of such extreme floods in the future, and the related climate phenomena, for planning and mitigation purposes. Here, a suite of simulations from GFDL high-resolution coupled climate models are used to investigate the odds of occurrence of extreme floods induced by extreme precipitation over Chennai and the role of radiative forcing and/or large-scale SST forcing in enhancing the probability of such events in the future. The climate of twentieth-century experiments with large ensembles suggest that the radiative forcing may not enhance the probability of extreme floods over Chennai. Doubling of CO2 experiments also fails to show evidence for an increase of such events in a global warming scenario. Further, this study explores the role of SST forcing from the Indian and Pacific Oceans on the odds of occurrence of Chennai-like floods. Neither El Niño nor La Niña enhances the probability of extreme floods over Chennai. However, a warm Bay of Bengal tends to increase the odds of occurrence of extreme Chennai-like floods. In order to trigger a Chennai like-flood, a conducive weather event, such as a tropical depression over the Bay of Bengal with strong transport of moisture from a moist atmosphere over the warm Bay, is necessary for the intense precipitation.

© 2018 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Lakshmi Krishnamurthy, lakshmi.krishnamurthy@noaa.gov
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