Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models
Abstract We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterra...
Ausführliche Beschreibung
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| Autor*in: |
Luterbacher, J. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2010 |
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| Schlagwörter: |
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| Systematik: |
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| Anmerkung: |
© Springer Science+Business Media B.V. 2009 |
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| Übergeordnetes Werk: |
Enthalten in: Climatic change - Springer Netherlands, 1977, 101(2010), 1-2 vom: 07. Jan., Seite 201-234 |
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| Übergeordnetes Werk: |
volume:101 ; year:2010 ; number:1-2 ; day:07 ; month:01 ; pages:201-234 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10584-009-9782-0 |
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| Katalog-ID: |
OLC2062602847 |
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| 245 | 1 | 0 | |a Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models |
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| 520 | |a Abstract We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterranean for the late winter/early spring (January–April, JFMA) season. A Canonical Correlation Analysis (CCA) investigates interannual to interdecadal covariability between a new gridded SLP field reconstruction and seven long instrumental temperature series covering the past 250 years. We then present and discuss prominent atmospheric circulation patterns related to anomalous warm and cold JFMA conditions within different European areas spanning the period 1760–2007. Next, using a data assimilation technique, we link gridded SLP data with a climate model (EC-Bilt-Clio) for a better dynamical understanding of the relationship between large scale circulation and European climate. We thus present an alternative approach to reconstruct climate for the pre-instrumental period based on the assimilated model simulations. Furthermore, we present an independent method to extend the dynamic circulation analysis for anomalously cold European JFMA conditions back to the sixteenth century. To this end, we use documentary records that are spatially representative for the long instrumental records and derive, through modern analogs, large-scale SLP, surface temperature and precipitation fields. The skill of the analog method is tested in the virtual world of two three-dimensional climate simulations (ECHO-G and HadCM3). This endeavor offers new possibilities to both constrain climate model into a reconstruction mode (through the assimilation approach) and to better asses documentary data in a quantitative way. | ||
| 650 | 4 | |a Canonical Correlation Analysis | |
| 650 | 4 | |a European Climate | |
| 650 | 4 | |a Cold Anomaly | |
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| 700 | 1 | |a Koenig, S. J. |4 aut | |
| 700 | 1 | |a Franke, J. |4 aut | |
| 700 | 1 | |a van der Schrier, G. |4 aut | |
| 700 | 1 | |a Zorita, E. |4 aut | |
| 700 | 1 | |a Moberg, A. |4 aut | |
| 700 | 1 | |a Jacobeit, J. |4 aut | |
| 700 | 1 | |a Della-Marta, P. M. |4 aut | |
| 700 | 1 | |a Küttel, M. |4 aut | |
| 700 | 1 | |a Xoplaki, E. |4 aut | |
| 700 | 1 | |a Wheeler, D. |4 aut | |
| 700 | 1 | |a Rutishauser, T. |4 aut | |
| 700 | 1 | |a Stössel, M. |4 aut | |
| 700 | 1 | |a Wanner, H. |4 aut | |
| 700 | 1 | |a Brázdil, R. |4 aut | |
| 700 | 1 | |a Dobrovolný, P. |4 aut | |
| 700 | 1 | |a Camuffo, D. |4 aut | |
| 700 | 1 | |a Bertolin, C. |4 aut | |
| 700 | 1 | |a van Engelen, A. |4 aut | |
| 700 | 1 | |a Gonzalez-Rouco, F. J. |4 aut | |
| 700 | 1 | |a Wilson, R. |4 aut | |
| 700 | 1 | |a Pfister, C. |4 aut | |
| 700 | 1 | |a Limanówka, D. |4 aut | |
| 700 | 1 | |a Nordli, Ø. |4 aut | |
| 700 | 1 | |a Leijonhufvud, L. |4 aut | |
| 700 | 1 | |a Söderberg, J. |4 aut | |
| 700 | 1 | |a Allan, R. |4 aut | |
| 700 | 1 | |a Barriendos, M. |4 aut | |
| 700 | 1 | |a Glaser, Rüdiger |4 aut | |
| 700 | 1 | |a Riemann, D. |4 aut | |
| 700 | 1 | |a Hao, Z. |4 aut | |
| 700 | 1 | |a Zerefos, C. S. |4 aut | |
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10.1007/s10584-009-9782-0 doi (DE-627)OLC2062602847 (DE-He213)s10584-009-9782-0-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Luterbacher, J. verfasserin aut Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterranean for the late winter/early spring (January–April, JFMA) season. A Canonical Correlation Analysis (CCA) investigates interannual to interdecadal covariability between a new gridded SLP field reconstruction and seven long instrumental temperature series covering the past 250 years. We then present and discuss prominent atmospheric circulation patterns related to anomalous warm and cold JFMA conditions within different European areas spanning the period 1760–2007. Next, using a data assimilation technique, we link gridded SLP data with a climate model (EC-Bilt-Clio) for a better dynamical understanding of the relationship between large scale circulation and European climate. We thus present an alternative approach to reconstruct climate for the pre-instrumental period based on the assimilated model simulations. Furthermore, we present an independent method to extend the dynamic circulation analysis for anomalously cold European JFMA conditions back to the sixteenth century. To this end, we use documentary records that are spatially representative for the long instrumental records and derive, through modern analogs, large-scale SLP, surface temperature and precipitation fields. The skill of the analog method is tested in the virtual world of two three-dimensional climate simulations (ECHO-G and HadCM3). This endeavor offers new possibilities to both constrain climate model into a reconstruction mode (through the assimilation approach) and to better asses documentary data in a quantitative way. Canonical Correlation Analysis European Climate Cold Anomaly Instrumental Period Documentary Data Koenig, S. J. aut Franke, J. aut van der Schrier, G. aut Zorita, E. aut Moberg, A. aut Jacobeit, J. aut Della-Marta, P. M. aut Küttel, M. aut Xoplaki, E. aut Wheeler, D. aut Rutishauser, T. aut Stössel, M. aut Wanner, H. aut Brázdil, R. aut Dobrovolný, P. aut Camuffo, D. aut Bertolin, C. aut van Engelen, A. aut Gonzalez-Rouco, F. J. aut Wilson, R. aut Pfister, C. aut Limanówka, D. aut Nordli, Ø. aut Leijonhufvud, L. aut Söderberg, J. aut Allan, R. aut Barriendos, M. aut Glaser, Rüdiger aut Riemann, D. aut Hao, Z. aut Zerefos, C. S. aut Enthalten in Climatic change Springer Netherlands, 1977 101(2010), 1-2 vom: 07. Jan., Seite 201-234 (DE-627)130479020 (DE-600)751086-X (DE-576)016068610 0165-0009 nnns volume:101 year:2010 number:1-2 day:07 month:01 pages:201-234 https://doi.org/10.1007/s10584-009-9782-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-GEO SSG-OLC-IBL SSG-OPC-GGO GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_154 GBV_ILN_601 GBV_ILN_2003 GBV_ILN_2006 GBV_ILN_4012 GBV_ILN_4305 GBV_ILN_4325 RA 1000 AR 101 2010 1-2 07 01 201-234 |
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10.1007/s10584-009-9782-0 doi (DE-627)OLC2062602847 (DE-He213)s10584-009-9782-0-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Luterbacher, J. verfasserin aut Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterranean for the late winter/early spring (January–April, JFMA) season. A Canonical Correlation Analysis (CCA) investigates interannual to interdecadal covariability between a new gridded SLP field reconstruction and seven long instrumental temperature series covering the past 250 years. We then present and discuss prominent atmospheric circulation patterns related to anomalous warm and cold JFMA conditions within different European areas spanning the period 1760–2007. Next, using a data assimilation technique, we link gridded SLP data with a climate model (EC-Bilt-Clio) for a better dynamical understanding of the relationship between large scale circulation and European climate. We thus present an alternative approach to reconstruct climate for the pre-instrumental period based on the assimilated model simulations. Furthermore, we present an independent method to extend the dynamic circulation analysis for anomalously cold European JFMA conditions back to the sixteenth century. To this end, we use documentary records that are spatially representative for the long instrumental records and derive, through modern analogs, large-scale SLP, surface temperature and precipitation fields. The skill of the analog method is tested in the virtual world of two three-dimensional climate simulations (ECHO-G and HadCM3). This endeavor offers new possibilities to both constrain climate model into a reconstruction mode (through the assimilation approach) and to better asses documentary data in a quantitative way. Canonical Correlation Analysis European Climate Cold Anomaly Instrumental Period Documentary Data Koenig, S. J. aut Franke, J. aut van der Schrier, G. aut Zorita, E. aut Moberg, A. aut Jacobeit, J. aut Della-Marta, P. M. aut Küttel, M. aut Xoplaki, E. aut Wheeler, D. aut Rutishauser, T. aut Stössel, M. aut Wanner, H. aut Brázdil, R. aut Dobrovolný, P. aut Camuffo, D. aut Bertolin, C. aut van Engelen, A. aut Gonzalez-Rouco, F. J. aut Wilson, R. aut Pfister, C. aut Limanówka, D. aut Nordli, Ø. aut Leijonhufvud, L. aut Söderberg, J. aut Allan, R. aut Barriendos, M. aut Glaser, Rüdiger aut Riemann, D. aut Hao, Z. aut Zerefos, C. S. aut Enthalten in Climatic change Springer Netherlands, 1977 101(2010), 1-2 vom: 07. Jan., Seite 201-234 (DE-627)130479020 (DE-600)751086-X (DE-576)016068610 0165-0009 nnns volume:101 year:2010 number:1-2 day:07 month:01 pages:201-234 https://doi.org/10.1007/s10584-009-9782-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-GEO SSG-OLC-IBL SSG-OPC-GGO GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_154 GBV_ILN_601 GBV_ILN_2003 GBV_ILN_2006 GBV_ILN_4012 GBV_ILN_4305 GBV_ILN_4325 RA 1000 AR 101 2010 1-2 07 01 201-234 |
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10.1007/s10584-009-9782-0 doi (DE-627)OLC2062602847 (DE-He213)s10584-009-9782-0-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Luterbacher, J. verfasserin aut Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterranean for the late winter/early spring (January–April, JFMA) season. A Canonical Correlation Analysis (CCA) investigates interannual to interdecadal covariability between a new gridded SLP field reconstruction and seven long instrumental temperature series covering the past 250 years. We then present and discuss prominent atmospheric circulation patterns related to anomalous warm and cold JFMA conditions within different European areas spanning the period 1760–2007. Next, using a data assimilation technique, we link gridded SLP data with a climate model (EC-Bilt-Clio) for a better dynamical understanding of the relationship between large scale circulation and European climate. We thus present an alternative approach to reconstruct climate for the pre-instrumental period based on the assimilated model simulations. Furthermore, we present an independent method to extend the dynamic circulation analysis for anomalously cold European JFMA conditions back to the sixteenth century. To this end, we use documentary records that are spatially representative for the long instrumental records and derive, through modern analogs, large-scale SLP, surface temperature and precipitation fields. The skill of the analog method is tested in the virtual world of two three-dimensional climate simulations (ECHO-G and HadCM3). This endeavor offers new possibilities to both constrain climate model into a reconstruction mode (through the assimilation approach) and to better asses documentary data in a quantitative way. Canonical Correlation Analysis European Climate Cold Anomaly Instrumental Period Documentary Data Koenig, S. J. aut Franke, J. aut van der Schrier, G. aut Zorita, E. aut Moberg, A. aut Jacobeit, J. aut Della-Marta, P. M. aut Küttel, M. aut Xoplaki, E. aut Wheeler, D. aut Rutishauser, T. aut Stössel, M. aut Wanner, H. aut Brázdil, R. aut Dobrovolný, P. aut Camuffo, D. aut Bertolin, C. aut van Engelen, A. aut Gonzalez-Rouco, F. J. aut Wilson, R. aut Pfister, C. aut Limanówka, D. aut Nordli, Ø. aut Leijonhufvud, L. aut Söderberg, J. aut Allan, R. aut Barriendos, M. aut Glaser, Rüdiger aut Riemann, D. aut Hao, Z. aut Zerefos, C. S. aut Enthalten in Climatic change Springer Netherlands, 1977 101(2010), 1-2 vom: 07. Jan., Seite 201-234 (DE-627)130479020 (DE-600)751086-X (DE-576)016068610 0165-0009 nnns volume:101 year:2010 number:1-2 day:07 month:01 pages:201-234 https://doi.org/10.1007/s10584-009-9782-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-GEO SSG-OLC-IBL SSG-OPC-GGO GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_154 GBV_ILN_601 GBV_ILN_2003 GBV_ILN_2006 GBV_ILN_4012 GBV_ILN_4305 GBV_ILN_4325 RA 1000 AR 101 2010 1-2 07 01 201-234 |
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10.1007/s10584-009-9782-0 doi (DE-627)OLC2062602847 (DE-He213)s10584-009-9782-0-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Luterbacher, J. verfasserin aut Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterranean for the late winter/early spring (January–April, JFMA) season. A Canonical Correlation Analysis (CCA) investigates interannual to interdecadal covariability between a new gridded SLP field reconstruction and seven long instrumental temperature series covering the past 250 years. We then present and discuss prominent atmospheric circulation patterns related to anomalous warm and cold JFMA conditions within different European areas spanning the period 1760–2007. Next, using a data assimilation technique, we link gridded SLP data with a climate model (EC-Bilt-Clio) for a better dynamical understanding of the relationship between large scale circulation and European climate. We thus present an alternative approach to reconstruct climate for the pre-instrumental period based on the assimilated model simulations. Furthermore, we present an independent method to extend the dynamic circulation analysis for anomalously cold European JFMA conditions back to the sixteenth century. To this end, we use documentary records that are spatially representative for the long instrumental records and derive, through modern analogs, large-scale SLP, surface temperature and precipitation fields. The skill of the analog method is tested in the virtual world of two three-dimensional climate simulations (ECHO-G and HadCM3). This endeavor offers new possibilities to both constrain climate model into a reconstruction mode (through the assimilation approach) and to better asses documentary data in a quantitative way. Canonical Correlation Analysis European Climate Cold Anomaly Instrumental Period Documentary Data Koenig, S. J. aut Franke, J. aut van der Schrier, G. aut Zorita, E. aut Moberg, A. aut Jacobeit, J. aut Della-Marta, P. M. aut Küttel, M. aut Xoplaki, E. aut Wheeler, D. aut Rutishauser, T. aut Stössel, M. aut Wanner, H. aut Brázdil, R. aut Dobrovolný, P. aut Camuffo, D. aut Bertolin, C. aut van Engelen, A. aut Gonzalez-Rouco, F. J. aut Wilson, R. aut Pfister, C. aut Limanówka, D. aut Nordli, Ø. aut Leijonhufvud, L. aut Söderberg, J. aut Allan, R. aut Barriendos, M. aut Glaser, Rüdiger aut Riemann, D. aut Hao, Z. aut Zerefos, C. S. aut Enthalten in Climatic change Springer Netherlands, 1977 101(2010), 1-2 vom: 07. Jan., Seite 201-234 (DE-627)130479020 (DE-600)751086-X (DE-576)016068610 0165-0009 nnns volume:101 year:2010 number:1-2 day:07 month:01 pages:201-234 https://doi.org/10.1007/s10584-009-9782-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-GEO SSG-OLC-IBL SSG-OPC-GGO GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_154 GBV_ILN_601 GBV_ILN_2003 GBV_ILN_2006 GBV_ILN_4012 GBV_ILN_4305 GBV_ILN_4325 RA 1000 AR 101 2010 1-2 07 01 201-234 |
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10.1007/s10584-009-9782-0 doi (DE-627)OLC2062602847 (DE-He213)s10584-009-9782-0-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Luterbacher, J. verfasserin aut Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterranean for the late winter/early spring (January–April, JFMA) season. A Canonical Correlation Analysis (CCA) investigates interannual to interdecadal covariability between a new gridded SLP field reconstruction and seven long instrumental temperature series covering the past 250 years. We then present and discuss prominent atmospheric circulation patterns related to anomalous warm and cold JFMA conditions within different European areas spanning the period 1760–2007. Next, using a data assimilation technique, we link gridded SLP data with a climate model (EC-Bilt-Clio) for a better dynamical understanding of the relationship between large scale circulation and European climate. We thus present an alternative approach to reconstruct climate for the pre-instrumental period based on the assimilated model simulations. Furthermore, we present an independent method to extend the dynamic circulation analysis for anomalously cold European JFMA conditions back to the sixteenth century. To this end, we use documentary records that are spatially representative for the long instrumental records and derive, through modern analogs, large-scale SLP, surface temperature and precipitation fields. The skill of the analog method is tested in the virtual world of two three-dimensional climate simulations (ECHO-G and HadCM3). This endeavor offers new possibilities to both constrain climate model into a reconstruction mode (through the assimilation approach) and to better asses documentary data in a quantitative way. Canonical Correlation Analysis European Climate Cold Anomaly Instrumental Period Documentary Data Koenig, S. J. aut Franke, J. aut van der Schrier, G. aut Zorita, E. aut Moberg, A. aut Jacobeit, J. aut Della-Marta, P. M. aut Küttel, M. aut Xoplaki, E. aut Wheeler, D. aut Rutishauser, T. aut Stössel, M. aut Wanner, H. aut Brázdil, R. aut Dobrovolný, P. aut Camuffo, D. aut Bertolin, C. aut van Engelen, A. aut Gonzalez-Rouco, F. J. aut Wilson, R. aut Pfister, C. aut Limanówka, D. aut Nordli, Ø. aut Leijonhufvud, L. aut Söderberg, J. aut Allan, R. aut Barriendos, M. aut Glaser, Rüdiger aut Riemann, D. aut Hao, Z. aut Zerefos, C. S. aut Enthalten in Climatic change Springer Netherlands, 1977 101(2010), 1-2 vom: 07. Jan., Seite 201-234 (DE-627)130479020 (DE-600)751086-X (DE-576)016068610 0165-0009 nnns volume:101 year:2010 number:1-2 day:07 month:01 pages:201-234 https://doi.org/10.1007/s10584-009-9782-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-GEO SSG-OLC-IBL SSG-OPC-GGO GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_154 GBV_ILN_601 GBV_ILN_2003 GBV_ILN_2006 GBV_ILN_4012 GBV_ILN_4305 GBV_ILN_4325 RA 1000 AR 101 2010 1-2 07 01 201-234 |
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Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models |
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Luterbacher, J. Koenig, S. J. Franke, J. van der Schrier, G. Zorita, E. Moberg, A. Jacobeit, J. Della-Marta, P. M. Küttel, M. Xoplaki, E. Wheeler, D. Rutishauser, T. Stössel, M. Wanner, H. Brázdil, R. Dobrovolný, P. Camuffo, D. Bertolin, C. van Engelen, A. Gonzalez-Rouco, F. J. Wilson, R. Pfister, C. Limanówka, D. Nordli, Ø. Leijonhufvud, L. Söderberg, J. Allan, R. Barriendos, M. Glaser, Rüdiger Riemann, D. Hao, Z. Zerefos, C. S. |
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circulation dynamics and its influence on european and mediterranean january–april climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models |
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Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models |
| abstract |
Abstract We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterranean for the late winter/early spring (January–April, JFMA) season. A Canonical Correlation Analysis (CCA) investigates interannual to interdecadal covariability between a new gridded SLP field reconstruction and seven long instrumental temperature series covering the past 250 years. We then present and discuss prominent atmospheric circulation patterns related to anomalous warm and cold JFMA conditions within different European areas spanning the period 1760–2007. Next, using a data assimilation technique, we link gridded SLP data with a climate model (EC-Bilt-Clio) for a better dynamical understanding of the relationship between large scale circulation and European climate. We thus present an alternative approach to reconstruct climate for the pre-instrumental period based on the assimilated model simulations. Furthermore, we present an independent method to extend the dynamic circulation analysis for anomalously cold European JFMA conditions back to the sixteenth century. To this end, we use documentary records that are spatially representative for the long instrumental records and derive, through modern analogs, large-scale SLP, surface temperature and precipitation fields. The skill of the analog method is tested in the virtual world of two three-dimensional climate simulations (ECHO-G and HadCM3). This endeavor offers new possibilities to both constrain climate model into a reconstruction mode (through the assimilation approach) and to better asses documentary data in a quantitative way. © Springer Science+Business Media B.V. 2009 |
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Abstract We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterranean for the late winter/early spring (January–April, JFMA) season. A Canonical Correlation Analysis (CCA) investigates interannual to interdecadal covariability between a new gridded SLP field reconstruction and seven long instrumental temperature series covering the past 250 years. We then present and discuss prominent atmospheric circulation patterns related to anomalous warm and cold JFMA conditions within different European areas spanning the period 1760–2007. Next, using a data assimilation technique, we link gridded SLP data with a climate model (EC-Bilt-Clio) for a better dynamical understanding of the relationship between large scale circulation and European climate. We thus present an alternative approach to reconstruct climate for the pre-instrumental period based on the assimilated model simulations. Furthermore, we present an independent method to extend the dynamic circulation analysis for anomalously cold European JFMA conditions back to the sixteenth century. To this end, we use documentary records that are spatially representative for the long instrumental records and derive, through modern analogs, large-scale SLP, surface temperature and precipitation fields. The skill of the analog method is tested in the virtual world of two three-dimensional climate simulations (ECHO-G and HadCM3). This endeavor offers new possibilities to both constrain climate model into a reconstruction mode (through the assimilation approach) and to better asses documentary data in a quantitative way. © Springer Science+Business Media B.V. 2009 |
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Abstract We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterranean for the late winter/early spring (January–April, JFMA) season. A Canonical Correlation Analysis (CCA) investigates interannual to interdecadal covariability between a new gridded SLP field reconstruction and seven long instrumental temperature series covering the past 250 years. We then present and discuss prominent atmospheric circulation patterns related to anomalous warm and cold JFMA conditions within different European areas spanning the period 1760–2007. Next, using a data assimilation technique, we link gridded SLP data with a climate model (EC-Bilt-Clio) for a better dynamical understanding of the relationship between large scale circulation and European climate. We thus present an alternative approach to reconstruct climate for the pre-instrumental period based on the assimilated model simulations. Furthermore, we present an independent method to extend the dynamic circulation analysis for anomalously cold European JFMA conditions back to the sixteenth century. To this end, we use documentary records that are spatially representative for the long instrumental records and derive, through modern analogs, large-scale SLP, surface temperature and precipitation fields. The skill of the analog method is tested in the virtual world of two three-dimensional climate simulations (ECHO-G and HadCM3). This endeavor offers new possibilities to both constrain climate model into a reconstruction mode (through the assimilation approach) and to better asses documentary data in a quantitative way. © Springer Science+Business Media B.V. 2009 |
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Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models |
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Koenig, S. J. Franke, J. van der Schrier, G. Zorita, E. Moberg, A. Jacobeit, J. Della-Marta, P. M. Küttel, M. Xoplaki, E. Wheeler, D. Rutishauser, T. Stössel, M. Wanner, H. Brázdil, R. Dobrovolný, P. Camuffo, D. Bertolin, C. van Engelen, A. Gonzalez-Rouco, F. J. Wilson, R. Pfister, C. Limanówka, D. Nordli, Ø. Leijonhufvud, L. Söderberg, J. Allan, R. Barriendos, M. Glaser, Rüdiger Riemann, D. Hao, Z. Zerefos, C. S. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2062602847</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503024137.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2010 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10584-009-9782-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2062602847</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10584-009-9782-0-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">14</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">RA 1000</subfield><subfield code="q">VZ</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Luterbacher, J.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Circulation dynamics and its influence on European and Mediterranean January–April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2010</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media B.V. 2009</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterranean for the late winter/early spring (January–April, JFMA) season. A Canonical Correlation Analysis (CCA) investigates interannual to interdecadal covariability between a new gridded SLP field reconstruction and seven long instrumental temperature series covering the past 250 years. We then present and discuss prominent atmospheric circulation patterns related to anomalous warm and cold JFMA conditions within different European areas spanning the period 1760–2007. Next, using a data assimilation technique, we link gridded SLP data with a climate model (EC-Bilt-Clio) for a better dynamical understanding of the relationship between large scale circulation and European climate. We thus present an alternative approach to reconstruct climate for the pre-instrumental period based on the assimilated model simulations. Furthermore, we present an independent method to extend the dynamic circulation analysis for anomalously cold European JFMA conditions back to the sixteenth century. To this end, we use documentary records that are spatially representative for the long instrumental records and derive, through modern analogs, large-scale SLP, surface temperature and precipitation fields. The skill of the analog method is tested in the virtual world of two three-dimensional climate simulations (ECHO-G and HadCM3). 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