What drives the spread and bias in the surface impact of sudden stratospheric warmings in CMIP6 models?

This study evaluates the representation of the composite-mean surface response to sudden stratospheric warmings (SSWs) in 28 CMIP6 models. Most models can reproduce the magnitude of the SLP response over the Arctic, although the simulated Arctic SLP response varies from model to model. Regarding the...

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Published in:Journal of Climate
Other Authors: Dai, Ying (author), Hitchcock, Peter (author), Simpson, Isla R. (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.1175/JCLI-D-23-0622.1
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spelling ftncar:oai:drupal-site.org:articles_27374 2024-09-09T19:21:12+00:00 What drives the spread and bias in the surface impact of sudden stratospheric warmings in CMIP6 models? Dai, Ying (author) Hitchcock, Peter (author) Simpson, Isla R. (author) 2024-08-01 https://doi.org/10.1175/JCLI-D-23-0622.1 en eng Journal of Climate--0894-8755--1520-0442 articles:27374 doi:10.1175/JCLI-D-23-0622.1 ark:/85065/d7rx9h9x Copyright 2024 American Meteorological Society (AMS). article Text 2024 ftncar https://doi.org/10.1175/JCLI-D-23-0622.1 2024-08-01T23:32:26Z This study evaluates the representation of the composite-mean surface response to sudden stratospheric warmings (SSWs) in 28 CMIP6 models. Most models can reproduce the magnitude of the SLP response over the Arctic, although the simulated Arctic SLP response varies from model to model. Regarding the structure of the SLP response, most models exhibit a basin-symmetric negative Northern Annular Mode (NAM)-like response with a cyclonic Pacific SLP response, whereas the reanalysis shows a highly basin-asymmetric negative NAO-like response without a robust Pacific fi c center. We then explore the drivers of these model biases and spread by applying a multiple linear regression (MLR). The results show that the polar cap temperature anomalies at 100 hPa (DT100) D T 100 ) modulate the magnitude of both the Arctic SLP response and the cyclonic Pacific fi c SLP response. Apart from D T 100, the intensity and latitudinal location of the climatological eddy-driven jet in the troposphere also affect the magnitude of the Arctic SLP response. The compensation of model biases in these two tropospheric metrics and the good model representation of D T 100 explain the good agreement between the ensemble mean and the reanalysis on the magnitude of the Arctic SLP response, as indicated by the fact that the ensemble mean lies well within the reanalysis uncertainty range and that the reanalysis mean sits well within the model distribution. The Ni & ntilde;o-3.4 SST anomalies and North Pacific fi c SST dipole anomalies together with DT 100 modulate the cyclonic Pacific fi c SLP response. In this case, biases in both oceanic drivers work in the same direction and lead to the cyclonic Pacific fi c SLP response in models that are not present in the reanalysis. SIGNIFICANCE STATEMENT: Sudden stratospheric warmings (SSWs) represent an important source of skill for forecasting winter weather on subseasonal-to-seasonal time scales. To what extent SSWs could be used to improve the prediction of surface weather depends on how well ... Article in Journal/Newspaper Arctic OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Arctic Pacific Journal of Climate 37 15 3917 3942
institution Open Polar
collection OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research)
op_collection_id ftncar
language English
description This study evaluates the representation of the composite-mean surface response to sudden stratospheric warmings (SSWs) in 28 CMIP6 models. Most models can reproduce the magnitude of the SLP response over the Arctic, although the simulated Arctic SLP response varies from model to model. Regarding the structure of the SLP response, most models exhibit a basin-symmetric negative Northern Annular Mode (NAM)-like response with a cyclonic Pacific SLP response, whereas the reanalysis shows a highly basin-asymmetric negative NAO-like response without a robust Pacific fi c center. We then explore the drivers of these model biases and spread by applying a multiple linear regression (MLR). The results show that the polar cap temperature anomalies at 100 hPa (DT100) D T 100 ) modulate the magnitude of both the Arctic SLP response and the cyclonic Pacific fi c SLP response. Apart from D T 100, the intensity and latitudinal location of the climatological eddy-driven jet in the troposphere also affect the magnitude of the Arctic SLP response. The compensation of model biases in these two tropospheric metrics and the good model representation of D T 100 explain the good agreement between the ensemble mean and the reanalysis on the magnitude of the Arctic SLP response, as indicated by the fact that the ensemble mean lies well within the reanalysis uncertainty range and that the reanalysis mean sits well within the model distribution. The Ni & ntilde;o-3.4 SST anomalies and North Pacific fi c SST dipole anomalies together with DT 100 modulate the cyclonic Pacific fi c SLP response. In this case, biases in both oceanic drivers work in the same direction and lead to the cyclonic Pacific fi c SLP response in models that are not present in the reanalysis. SIGNIFICANCE STATEMENT: Sudden stratospheric warmings (SSWs) represent an important source of skill for forecasting winter weather on subseasonal-to-seasonal time scales. To what extent SSWs could be used to improve the prediction of surface weather depends on how well ...
author2 Dai, Ying (author)
Hitchcock, Peter (author)
Simpson, Isla R. (author)
format Article in Journal/Newspaper
title What drives the spread and bias in the surface impact of sudden stratospheric warmings in CMIP6 models?
spellingShingle What drives the spread and bias in the surface impact of sudden stratospheric warmings in CMIP6 models?
title_short What drives the spread and bias in the surface impact of sudden stratospheric warmings in CMIP6 models?
title_full What drives the spread and bias in the surface impact of sudden stratospheric warmings in CMIP6 models?
title_fullStr What drives the spread and bias in the surface impact of sudden stratospheric warmings in CMIP6 models?
title_full_unstemmed What drives the spread and bias in the surface impact of sudden stratospheric warmings in CMIP6 models?
title_sort what drives the spread and bias in the surface impact of sudden stratospheric warmings in cmip6 models?
publishDate 2024
url https://doi.org/10.1175/JCLI-D-23-0622.1
geographic Arctic
Pacific
geographic_facet Arctic
Pacific
genre Arctic
genre_facet Arctic
op_relation Journal of Climate--0894-8755--1520-0442
articles:27374
doi:10.1175/JCLI-D-23-0622.1
ark:/85065/d7rx9h9x
op_rights Copyright 2024 American Meteorological Society (AMS).
op_doi https://doi.org/10.1175/JCLI-D-23-0622.1
container_title Journal of Climate
container_volume 37
container_issue 15
container_start_page 3917
op_container_end_page 3942
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