Seasonal Prediction Skill of Northern Extratropical Surface Temperature Driven by the Stratosphere

Liwei Jia Princeton University, Princeton, New Jersey
NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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

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Gabriel Vecchi NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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Richard Gudgel NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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Thomas Delworth NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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Stephan Fueglistaler Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey

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Pu Lin Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey

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Adam A. Scaife Met Office Hadley Centre, Exeter, United Kingdom

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

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Shian-Jiann Lin NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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Abstract

This study explores the role of the stratosphere as a source of seasonal predictability of surface climate over Northern Hemisphere extratropics both in the observations and climate model predictions. A suite of numerical experiments, including climate simulations and retrospective forecasts, are set up to isolate the role of the stratosphere in seasonal predictive skill of extratropical near-surface land temperature. It is shown that most of the lead-0-month spring predictive skill of land temperature over extratropics, particularly over northern Eurasia, stems from stratospheric initialization. It is further revealed that this predictive skill of extratropical land temperature arises from skillful prediction of the Arctic Oscillation (AO). The dynamical connection between the stratosphere and troposphere is also demonstrated by the significant correlation between the stratospheric polar vortex and sea level pressure anomalies, as well as the migration of the stratospheric zonal wind anomalies to the lower troposphere.

Current affiliation: Climate Prediction Center, NOAA/NWS/NCEP, College Park, and Innovim, LLC, Greenbelt, Maryland.

© 2017 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: Liwei Jia, liwei.jia@noaa.gov

Abstract

This study explores the role of the stratosphere as a source of seasonal predictability of surface climate over Northern Hemisphere extratropics both in the observations and climate model predictions. A suite of numerical experiments, including climate simulations and retrospective forecasts, are set up to isolate the role of the stratosphere in seasonal predictive skill of extratropical near-surface land temperature. It is shown that most of the lead-0-month spring predictive skill of land temperature over extratropics, particularly over northern Eurasia, stems from stratospheric initialization. It is further revealed that this predictive skill of extratropical land temperature arises from skillful prediction of the Arctic Oscillation (AO). The dynamical connection between the stratosphere and troposphere is also demonstrated by the significant correlation between the stratospheric polar vortex and sea level pressure anomalies, as well as the migration of the stratospheric zonal wind anomalies to the lower troposphere.

Current affiliation: Climate Prediction Center, NOAA/NWS/NCEP, College Park, and Innovim, LLC, Greenbelt, Maryland.

© 2017 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: Liwei Jia, liwei.jia@noaa.gov
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