The value of initialization on decadal timescales: State-dependent predictability in the CESM decadal prediction large ensemble

Information in decadal climate prediction arises from a well-initialized ocean state and from the predicted response to an external forcing. The length of time over which the initial conditions benefit the decadal forecast depends on the start date of the forecast. We characterize this state-depende...

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Published in:Journal of Climate
Other Authors: Christensen, H. M. (author), Berner, Judith (author), Yeager, Stephen (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://doi.org/10.1175/JCLI-D-19-0571.1
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author2 Christensen, H. M. (author)
Berner, Judith (author)
Yeager, Stephen (author)
collection OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research)
container_issue 17
container_start_page 7353
container_title Journal of Climate
container_volume 33
description Information in decadal climate prediction arises from a well-initialized ocean state and from the predicted response to an external forcing. The length of time over which the initial conditions benefit the decadal forecast depends on the start date of the forecast. We characterize this state-dependent predictability for decadal forecasts of upper ocean heat content in the Community Earth System Model. We find regionally dependent initial condition predictability, with extended predictability generally observed in the extratropics. We also detect state-dependent predictability, with the year of loss of information from the initialization varying between start dates. The decadal forecasts in the North Atlantic show substantial information from the initial conditions beyond the 10-yr forecast window, and a high degree of state-dependent predictability. We find some evidence for state-dependent predictability in the ensemble spread in this region, similar to that seen in weather and subseasonal-to-seasonal forecasts. For some start dates, an increase of information with lead time is observed, for which the initialized forecasts predict a growing phase of the Atlantic multidecadal oscillation. Finally we consider the information in the forecast from the initial conditions relative to the forced response, and quantify the crossover time scale after which the forcing provides more information. We demonstrate that the climate change signal projects onto different patterns than the signal from the initial conditions. This means that even after the crossover time scale has been reached in a basin-averaged sense, the benefits of initialization can be felt locally on longer time scales. OCE1243015 1852977
format Article in Journal/Newspaper
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spelling ftncar:oai:drupal-site.org:articles_24104 2025-01-16T23:42:54+00:00 The value of initialization on decadal timescales: State-dependent predictability in the CESM decadal prediction large ensemble Christensen, H. M. (author) Berner, Judith (author) Yeager, Stephen (author) 2020-09-01 https://doi.org/10.1175/JCLI-D-19-0571.1 en eng Journal of Climate--0894-8755--1520-0442 articles:24104 ark:/85065/d7ww7n2k doi:10.1175/JCLI-D-19-0571.1 Copyright 2020 American Meteorological Society (AMS). article Text 2020 ftncar https://doi.org/10.1175/JCLI-D-19-0571.1 2024-04-04T17:34:52Z Information in decadal climate prediction arises from a well-initialized ocean state and from the predicted response to an external forcing. The length of time over which the initial conditions benefit the decadal forecast depends on the start date of the forecast. We characterize this state-dependent predictability for decadal forecasts of upper ocean heat content in the Community Earth System Model. We find regionally dependent initial condition predictability, with extended predictability generally observed in the extratropics. We also detect state-dependent predictability, with the year of loss of information from the initialization varying between start dates. The decadal forecasts in the North Atlantic show substantial information from the initial conditions beyond the 10-yr forecast window, and a high degree of state-dependent predictability. We find some evidence for state-dependent predictability in the ensemble spread in this region, similar to that seen in weather and subseasonal-to-seasonal forecasts. For some start dates, an increase of information with lead time is observed, for which the initialized forecasts predict a growing phase of the Atlantic multidecadal oscillation. Finally we consider the information in the forecast from the initial conditions relative to the forced response, and quantify the crossover time scale after which the forcing provides more information. We demonstrate that the climate change signal projects onto different patterns than the signal from the initial conditions. This means that even after the crossover time scale has been reached in a basin-averaged sense, the benefits of initialization can be felt locally on longer time scales. OCE1243015 1852977 Article in Journal/Newspaper North Atlantic OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Journal of Climate 33 17 7353 7370
spellingShingle The value of initialization on decadal timescales: State-dependent predictability in the CESM decadal prediction large ensemble
title The value of initialization on decadal timescales: State-dependent predictability in the CESM decadal prediction large ensemble
title_full The value of initialization on decadal timescales: State-dependent predictability in the CESM decadal prediction large ensemble
title_fullStr The value of initialization on decadal timescales: State-dependent predictability in the CESM decadal prediction large ensemble
title_full_unstemmed The value of initialization on decadal timescales: State-dependent predictability in the CESM decadal prediction large ensemble
title_short The value of initialization on decadal timescales: State-dependent predictability in the CESM decadal prediction large ensemble
title_sort value of initialization on decadal timescales: state-dependent predictability in the cesm decadal prediction large ensemble
url https://doi.org/10.1175/JCLI-D-19-0571.1