Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes

Autores
Gerighausen, Judith; Oldham Dorrington, Joshua; Mockert, Fabian; Osman, Marisol; Grams, Christian M.
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Weather regimes describe the large-scale atmospheric circulation in the mid-latitudes in terms of a few circulation states that modulate regional surface weather conditions on time scales of multiple days to a few weeks. This low-dimensional representation of weather has proven useful for the study of large-scale dynamics, climate trends, flow-dependent predictability, and as proxies for applied medium- to extended-range forecasting in the energy sector, for example. Previous studies have often focused on the mean surface weather associated with a regime, with only a few commenting quantitatively on intra-regime variability. In this paper, we comprehensively quantify variability of daily surface weather within regimes and show that it cannot be ignored as mean-composite approaches can be misleading. Signal-to-noise metrics highlight regime configurations that provide windows of predictive opportunity, where surface dynamics are well controlled by the large-scale regime. We discuss in detail wintertime temperature and wind speed regime anomalies for four selected countries (Spain, Norway, Germany, and the United Kingdom) and show that in each case there is impactful intra-regime variability that can be explained by different subtypes and life cycle stages of a regime. This nuance can be captured by continuous regime indices, allowing a refined application of weather regimes on the pan-European scale. This relatively simple guidance on regime interpretation and operational use comes without the need to change the underlying regime framework. An accompanying interactive archive, documenting intra-regime variability in national-scale, energy-relevant variables, supports immediate practical application of our regime analysis for all European countries.
Fil: Gerighausen, Judith. Karlsruher Institut Für Technologie; Andorra
Fil: Oldham Dorrington, Joshua. University of Bergen; Noruega
Fil: Mockert, Fabian. Karlsruher Institut Für Technologie; Andorra
Fil: Osman, Marisol. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Grams, Christian M.. Karlsruher Institut Für Technologie; Andorra
Materia
PREDICTABILITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/279229

id CONICETDig_ba4030bc19bee6e273d1dfcc93f4d918
oai_identifier_str oai:ri.conicet.gov.ar:11336/279229
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale RegimesGerighausen, JudithOldham Dorrington, JoshuaMockert, FabianOsman, MarisolGrams, Christian M.PREDICTABILITYhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Weather regimes describe the large-scale atmospheric circulation in the mid-latitudes in terms of a few circulation states that modulate regional surface weather conditions on time scales of multiple days to a few weeks. This low-dimensional representation of weather has proven useful for the study of large-scale dynamics, climate trends, flow-dependent predictability, and as proxies for applied medium- to extended-range forecasting in the energy sector, for example. Previous studies have often focused on the mean surface weather associated with a regime, with only a few commenting quantitatively on intra-regime variability. In this paper, we comprehensively quantify variability of daily surface weather within regimes and show that it cannot be ignored as mean-composite approaches can be misleading. Signal-to-noise metrics highlight regime configurations that provide windows of predictive opportunity, where surface dynamics are well controlled by the large-scale regime. We discuss in detail wintertime temperature and wind speed regime anomalies for four selected countries (Spain, Norway, Germany, and the United Kingdom) and show that in each case there is impactful intra-regime variability that can be explained by different subtypes and life cycle stages of a regime. This nuance can be captured by continuous regime indices, allowing a refined application of weather regimes on the pan-European scale. This relatively simple guidance on regime interpretation and operational use comes without the need to change the underlying regime framework. An accompanying interactive archive, documenting intra-regime variability in national-scale, energy-relevant variables, supports immediate practical application of our regime analysis for all European countries.Fil: Gerighausen, Judith. Karlsruher Institut Für Technologie; AndorraFil: Oldham Dorrington, Joshua. University of Bergen; NoruegaFil: Mockert, Fabian. Karlsruher Institut Für Technologie; AndorraFil: Osman, Marisol. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Grams, Christian M.. Karlsruher Institut Für Technologie; AndorraJohn Wiley & Sons2025-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/279229Gerighausen, Judith; Oldham Dorrington, Joshua; Mockert, Fabian; Osman, Marisol; Grams, Christian M.; Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes; John Wiley & Sons; Meteorological Applications; 32; 6; 11-2025; 1-151350-4827CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://rmets.onlinelibrary.wiley.com/doi/10.1002/met.70099info:eu-repo/semantics/altIdentifier/doi/10.1002/met.70099info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-02-06T12:31:03Zoai:ri.conicet.gov.ar:11336/279229instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-02-06 12:31:04.23CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes
title Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes
spellingShingle Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes
Gerighausen, Judith
PREDICTABILITY
title_short Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes
title_full Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes
title_fullStr Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes
title_full_unstemmed Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes
title_sort Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes
dc.creator.none.fl_str_mv Gerighausen, Judith
Oldham Dorrington, Joshua
Mockert, Fabian
Osman, Marisol
Grams, Christian M.
author Gerighausen, Judith
author_facet Gerighausen, Judith
Oldham Dorrington, Joshua
Mockert, Fabian
Osman, Marisol
Grams, Christian M.
author_role author
author2 Oldham Dorrington, Joshua
Mockert, Fabian
Osman, Marisol
Grams, Christian M.
author2_role author
author
author
author
dc.subject.none.fl_str_mv PREDICTABILITY
topic PREDICTABILITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Weather regimes describe the large-scale atmospheric circulation in the mid-latitudes in terms of a few circulation states that modulate regional surface weather conditions on time scales of multiple days to a few weeks. This low-dimensional representation of weather has proven useful for the study of large-scale dynamics, climate trends, flow-dependent predictability, and as proxies for applied medium- to extended-range forecasting in the energy sector, for example. Previous studies have often focused on the mean surface weather associated with a regime, with only a few commenting quantitatively on intra-regime variability. In this paper, we comprehensively quantify variability of daily surface weather within regimes and show that it cannot be ignored as mean-composite approaches can be misleading. Signal-to-noise metrics highlight regime configurations that provide windows of predictive opportunity, where surface dynamics are well controlled by the large-scale regime. We discuss in detail wintertime temperature and wind speed regime anomalies for four selected countries (Spain, Norway, Germany, and the United Kingdom) and show that in each case there is impactful intra-regime variability that can be explained by different subtypes and life cycle stages of a regime. This nuance can be captured by continuous regime indices, allowing a refined application of weather regimes on the pan-European scale. This relatively simple guidance on regime interpretation and operational use comes without the need to change the underlying regime framework. An accompanying interactive archive, documenting intra-regime variability in national-scale, energy-relevant variables, supports immediate practical application of our regime analysis for all European countries.
Fil: Gerighausen, Judith. Karlsruher Institut Für Technologie; Andorra
Fil: Oldham Dorrington, Joshua. University of Bergen; Noruega
Fil: Mockert, Fabian. Karlsruher Institut Für Technologie; Andorra
Fil: Osman, Marisol. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Grams, Christian M.. Karlsruher Institut Für Technologie; Andorra
description Weather regimes describe the large-scale atmospheric circulation in the mid-latitudes in terms of a few circulation states that modulate regional surface weather conditions on time scales of multiple days to a few weeks. This low-dimensional representation of weather has proven useful for the study of large-scale dynamics, climate trends, flow-dependent predictability, and as proxies for applied medium- to extended-range forecasting in the energy sector, for example. Previous studies have often focused on the mean surface weather associated with a regime, with only a few commenting quantitatively on intra-regime variability. In this paper, we comprehensively quantify variability of daily surface weather within regimes and show that it cannot be ignored as mean-composite approaches can be misleading. Signal-to-noise metrics highlight regime configurations that provide windows of predictive opportunity, where surface dynamics are well controlled by the large-scale regime. We discuss in detail wintertime temperature and wind speed regime anomalies for four selected countries (Spain, Norway, Germany, and the United Kingdom) and show that in each case there is impactful intra-regime variability that can be explained by different subtypes and life cycle stages of a regime. This nuance can be captured by continuous regime indices, allowing a refined application of weather regimes on the pan-European scale. This relatively simple guidance on regime interpretation and operational use comes without the need to change the underlying regime framework. An accompanying interactive archive, documenting intra-regime variability in national-scale, energy-relevant variables, supports immediate practical application of our regime analysis for all European countries.
publishDate 2025
dc.date.none.fl_str_mv 2025-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/279229
Gerighausen, Judith; Oldham Dorrington, Joshua; Mockert, Fabian; Osman, Marisol; Grams, Christian M.; Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes; John Wiley & Sons; Meteorological Applications; 32; 6; 11-2025; 1-15
1350-4827
CONICET Digital
CONICET
url http://hdl.handle.net/11336/279229
identifier_str_mv Gerighausen, Judith; Oldham Dorrington, Joshua; Mockert, Fabian; Osman, Marisol; Grams, Christian M.; Understanding and Anticipating Anomalous Surface Impacts During Large‐Scale Regimes; John Wiley & Sons; Meteorological Applications; 32; 6; 11-2025; 1-15
1350-4827
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://rmets.onlinelibrary.wiley.com/doi/10.1002/met.70099
info:eu-repo/semantics/altIdentifier/doi/10.1002/met.70099
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1856403149766524928
score 13.106097