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
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- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/279229
Ver los metadatos del registro completo
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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 |
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2025-11 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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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 |
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http://hdl.handle.net/11336/279229 |
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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 |
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eng |
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eng |
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John Wiley & Sons |
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John Wiley & Sons |
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