Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts

International audience Abstract. Major disruptions of the winter season, high-latitude stratospheric polar vortices can result in stratospheric anomalies that persist for months. These sudden stratospheric warming events are recognized as an important potential source of forecast skill for surface c...

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Published in:Geoscientific Model Development
Main Authors: Hitchcock, Peter, Butler, Amy, Charlton-Perez, Andrew, Garfinkel, Chaim, Stockdale, Tim, Anstey, James, Mitchell, Dann, Domeisen, Daniela, Wu, Tongwen, Lu, Yixiong, Mastrangelo, Daniele, Malguzzi, Piero, Lin, Hai, Muncaster, Ryan, Merryfield, Bill, Sigmond, Michael, Xiang, Baoqiang, Jia, Liwei, Hyun, Yu-Kyung, Oh, Jiyoung, Specq, Damien, Simpson, Isla, Richter, Jadwiga, Barton, Cory, Knight, Jeff, Lim, Eun-Pa, Hendon, Harry
Other Authors: Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2022
Subjects:
Online Access:https://meteofrance.hal.science/meteo-03712677
https://meteofrance.hal.science/meteo-03712677/document
https://meteofrance.hal.science/meteo-03712677/file/gmd-15-5073-2022.pdf
https://doi.org/10.5194/gmd-15-5073-2022
id ftinsu:oai:HAL:meteo-03712677v1
record_format openpolar
institution Open Polar
collection Institut national des sciences de l'Univers: HAL-INSU
op_collection_id ftinsu
language English
topic [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
spellingShingle [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
Hitchcock, Peter
Butler, Amy
Charlton-Perez, Andrew
Garfinkel, Chaim
Stockdale, Tim
Anstey, James
Mitchell, Dann
Domeisen, Daniela
Wu, Tongwen
Lu, Yixiong
Mastrangelo, Daniele
Malguzzi, Piero
Lin, Hai
Muncaster, Ryan
Merryfield, Bill
Sigmond, Michael
Xiang, Baoqiang
Jia, Liwei
Hyun, Yu-Kyung
Oh, Jiyoung
Specq, Damien
Simpson, Isla
Richter, Jadwiga
Barton, Cory
Knight, Jeff
Lim, Eun-Pa
Hendon, Harry
Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts
topic_facet [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
description International audience Abstract. Major disruptions of the winter season, high-latitude stratospheric polar vortices can result in stratospheric anomalies that persist for months. These sudden stratospheric warming events are recognized as an important potential source of forecast skill for surface climate on subseasonal to seasonal timescales. Realizing this skill in operational subseasonal forecast models remains a challenge, as models must capture both the evolution of the stratospheric polar vortices in addition to their coupling to the troposphere. The processes involved in this coupling remain a topic of open research. We present here the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project. SNAPSI is a new model intercomparison protocol designed to study the role of the Arctic and Antarctic stratospheric polar vortex disturbances for surface predictability in subseasonal to seasonal forecast models. Based on a set of controlled, subseasonal ensemble forecasts of three recent events, the protocol aims to address four main scientific goals. First, to quantify the impact of improved stratospheric forecasts on near-surface forecast skill. Second, to attribute specific extreme events to stratospheric variability. Third, to assess the mechanisms by which the stratosphere influences the troposphere in the forecast models. Fourth, to investigate the wave processes that lead to the stratospheric anomalies themselves. Although not a primary focus, the experiments are furthermore expected to shed light on coupling between the tropical stratosphere and troposphere. The output requested will allow for a more detailed, process-based community analysis than has been possible with existing databases of subseasonal forecasts.
author2 Centre national de recherches météorologiques (CNRM)
Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP)
Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Hitchcock, Peter
Butler, Amy
Charlton-Perez, Andrew
Garfinkel, Chaim
Stockdale, Tim
Anstey, James
Mitchell, Dann
Domeisen, Daniela
Wu, Tongwen
Lu, Yixiong
Mastrangelo, Daniele
Malguzzi, Piero
Lin, Hai
Muncaster, Ryan
Merryfield, Bill
Sigmond, Michael
Xiang, Baoqiang
Jia, Liwei
Hyun, Yu-Kyung
Oh, Jiyoung
Specq, Damien
Simpson, Isla
Richter, Jadwiga
Barton, Cory
Knight, Jeff
Lim, Eun-Pa
Hendon, Harry
author_facet Hitchcock, Peter
Butler, Amy
Charlton-Perez, Andrew
Garfinkel, Chaim
Stockdale, Tim
Anstey, James
Mitchell, Dann
Domeisen, Daniela
Wu, Tongwen
Lu, Yixiong
Mastrangelo, Daniele
Malguzzi, Piero
Lin, Hai
Muncaster, Ryan
Merryfield, Bill
Sigmond, Michael
Xiang, Baoqiang
Jia, Liwei
Hyun, Yu-Kyung
Oh, Jiyoung
Specq, Damien
Simpson, Isla
Richter, Jadwiga
Barton, Cory
Knight, Jeff
Lim, Eun-Pa
Hendon, Harry
author_sort Hitchcock, Peter
title Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts
title_short Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts
title_full Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts
title_fullStr Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts
title_full_unstemmed Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts
title_sort stratospheric nudging and predictable surface impacts (snapsi): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts
publisher HAL CCSD
publishDate 2022
url https://meteofrance.hal.science/meteo-03712677
https://meteofrance.hal.science/meteo-03712677/document
https://meteofrance.hal.science/meteo-03712677/file/gmd-15-5073-2022.pdf
https://doi.org/10.5194/gmd-15-5073-2022
geographic Antarctic
Arctic
geographic_facet Antarctic
Arctic
genre Antarc*
Antarctic
Arctic
genre_facet Antarc*
Antarctic
Arctic
op_source ISSN: 1991-9603
EISSN: 1991-959X
Geoscientific Model Development
https://meteofrance.hal.science/meteo-03712677
Geoscientific Model Development, 2022, 15 (13), pp.5073-5092. ⟨10.5194/gmd-15-5073-2022⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-15-5073-2022
meteo-03712677
https://meteofrance.hal.science/meteo-03712677
https://meteofrance.hal.science/meteo-03712677/document
https://meteofrance.hal.science/meteo-03712677/file/gmd-15-5073-2022.pdf
doi:10.5194/gmd-15-5073-2022
op_rights http://creativecommons.org/licenses/by/
info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.5194/gmd-15-5073-2022
container_title Geoscientific Model Development
container_volume 15
container_issue 13
container_start_page 5073
op_container_end_page 5092
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spelling ftinsu:oai:HAL:meteo-03712677v1 2023-12-17T10:22:06+01:00 Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): a protocol for investigating the role of stratospheric polar vortex disturbances in subseasonal to seasonal forecasts Hitchcock, Peter Butler, Amy Charlton-Perez, Andrew Garfinkel, Chaim Stockdale, Tim Anstey, James Mitchell, Dann Domeisen, Daniela Wu, Tongwen Lu, Yixiong Mastrangelo, Daniele Malguzzi, Piero Lin, Hai Muncaster, Ryan Merryfield, Bill Sigmond, Michael Xiang, Baoqiang Jia, Liwei Hyun, Yu-Kyung Oh, Jiyoung Specq, Damien Simpson, Isla Richter, Jadwiga Barton, Cory Knight, Jeff Lim, Eun-Pa Hendon, Harry Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) 2022 https://meteofrance.hal.science/meteo-03712677 https://meteofrance.hal.science/meteo-03712677/document https://meteofrance.hal.science/meteo-03712677/file/gmd-15-5073-2022.pdf https://doi.org/10.5194/gmd-15-5073-2022 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-15-5073-2022 meteo-03712677 https://meteofrance.hal.science/meteo-03712677 https://meteofrance.hal.science/meteo-03712677/document https://meteofrance.hal.science/meteo-03712677/file/gmd-15-5073-2022.pdf doi:10.5194/gmd-15-5073-2022 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1991-9603 EISSN: 1991-959X Geoscientific Model Development https://meteofrance.hal.science/meteo-03712677 Geoscientific Model Development, 2022, 15 (13), pp.5073-5092. ⟨10.5194/gmd-15-5073-2022⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2022 ftinsu https://doi.org/10.5194/gmd-15-5073-2022 2023-11-22T17:30:44Z International audience Abstract. Major disruptions of the winter season, high-latitude stratospheric polar vortices can result in stratospheric anomalies that persist for months. These sudden stratospheric warming events are recognized as an important potential source of forecast skill for surface climate on subseasonal to seasonal timescales. Realizing this skill in operational subseasonal forecast models remains a challenge, as models must capture both the evolution of the stratospheric polar vortices in addition to their coupling to the troposphere. The processes involved in this coupling remain a topic of open research. We present here the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project. SNAPSI is a new model intercomparison protocol designed to study the role of the Arctic and Antarctic stratospheric polar vortex disturbances for surface predictability in subseasonal to seasonal forecast models. Based on a set of controlled, subseasonal ensemble forecasts of three recent events, the protocol aims to address four main scientific goals. First, to quantify the impact of improved stratospheric forecasts on near-surface forecast skill. Second, to attribute specific extreme events to stratospheric variability. Third, to assess the mechanisms by which the stratosphere influences the troposphere in the forecast models. Fourth, to investigate the wave processes that lead to the stratospheric anomalies themselves. Although not a primary focus, the experiments are furthermore expected to shed light on coupling between the tropical stratosphere and troposphere. The output requested will allow for a more detailed, process-based community analysis than has been possible with existing databases of subseasonal forecasts. Article in Journal/Newspaper Antarc* Antarctic Arctic Institut national des sciences de l'Univers: HAL-INSU Antarctic Arctic Geoscientific Model Development 15 13 5073 5092