A circulation classification scheme applicable in GCM studies
Summary The goal of the paper is to present and examine the method of classification of daily circulation patterns that allows (i) a fair comparison of groupings among different datasets (typically representing the observed climate and that simulated by a general circulation model, GCM) and (ii) hug...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Huth, R. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2000 |
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| Schlagwörter: |
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| Systematik: |
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| Anmerkung: |
© Springer-Verlag/Wien 2000 |
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| Übergeordnetes Werk: |
Enthalten in: Theoretical and applied climatology - Springer-Verlag, 1986, 67(2000), 1-2 vom: Okt., Seite 1-18 |
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| Übergeordnetes Werk: |
volume:67 ; year:2000 ; number:1-2 ; month:10 ; pages:1-18 |
| Links: |
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| DOI / URN: |
10.1007/s007040070012 |
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| Katalog-ID: |
OLC2048436706 |
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| 520 | |a Summary The goal of the paper is to present and examine the method of classification of daily circulation patterns that allows (i) a fair comparison of groupings among different datasets (typically representing the observed climate and that simulated by a general circulation model, GCM) and (ii) huge datasets, common in GCM studies based on daily values, to be classified. The circulation classification method is shown to be a useful tool in GCM validation and analysis of climate change response, particularly in comparisons of (i) shapes of the mean type patterns, (ii) the frequency and persistence of the types, (iii) the probability of transitions from one type to another, and (iv) conditional surface temperature distributions. It is also shown that a simultaneous examination of multiple classifications is beneficial in eliminating subjectivity of any single classification and allowing a detailed inspection of differences between climates. The classification method is a modification of the T-mode principal component analysis (PCA). The T-mode refers to the input data matrix where gridpoint values are arranged in rows and daily patterns in columns. The classification procedure is applied to observed daily 500 hPa geopotential height patterns and those simulated by the control and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document} ECHAM3 GCM runs. | ||
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10.1007/s007040070012 doi (DE-627)OLC2048436706 (DE-He213)s007040070012-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Huth, R. verfasserin aut A circulation classification scheme applicable in GCM studies 2000 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag/Wien 2000 Summary The goal of the paper is to present and examine the method of classification of daily circulation patterns that allows (i) a fair comparison of groupings among different datasets (typically representing the observed climate and that simulated by a general circulation model, GCM) and (ii) huge datasets, common in GCM studies based on daily values, to be classified. The circulation classification method is shown to be a useful tool in GCM validation and analysis of climate change response, particularly in comparisons of (i) shapes of the mean type patterns, (ii) the frequency and persistence of the types, (iii) the probability of transitions from one type to another, and (iv) conditional surface temperature distributions. It is also shown that a simultaneous examination of multiple classifications is beneficial in eliminating subjectivity of any single classification and allowing a detailed inspection of differences between climates. The classification method is a modification of the T-mode principal component analysis (PCA). The T-mode refers to the input data matrix where gridpoint values are arranged in rows and daily patterns in columns. The classification procedure is applied to observed daily 500 hPa geopotential height patterns and those simulated by the control and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document} ECHAM3 GCM runs. Classification Scheme Circulation Model General Circulation General Circulation Model Circulation Pattern Enthalten in Theoretical and applied climatology Springer-Verlag, 1986 67(2000), 1-2 vom: Okt., Seite 1-18 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:67 year:2000 number:1-2 month:10 pages:1-18 https://doi.org/10.1007/s007040070012 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_40 GBV_ILN_70 GBV_ILN_601 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4037 GBV_ILN_4306 GBV_ILN_4311 GBV_ILN_4313 RA 1000 AR 67 2000 1-2 10 1-18 |
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10.1007/s007040070012 doi (DE-627)OLC2048436706 (DE-He213)s007040070012-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Huth, R. verfasserin aut A circulation classification scheme applicable in GCM studies 2000 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag/Wien 2000 Summary The goal of the paper is to present and examine the method of classification of daily circulation patterns that allows (i) a fair comparison of groupings among different datasets (typically representing the observed climate and that simulated by a general circulation model, GCM) and (ii) huge datasets, common in GCM studies based on daily values, to be classified. The circulation classification method is shown to be a useful tool in GCM validation and analysis of climate change response, particularly in comparisons of (i) shapes of the mean type patterns, (ii) the frequency and persistence of the types, (iii) the probability of transitions from one type to another, and (iv) conditional surface temperature distributions. It is also shown that a simultaneous examination of multiple classifications is beneficial in eliminating subjectivity of any single classification and allowing a detailed inspection of differences between climates. The classification method is a modification of the T-mode principal component analysis (PCA). The T-mode refers to the input data matrix where gridpoint values are arranged in rows and daily patterns in columns. The classification procedure is applied to observed daily 500 hPa geopotential height patterns and those simulated by the control and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document} ECHAM3 GCM runs. Classification Scheme Circulation Model General Circulation General Circulation Model Circulation Pattern Enthalten in Theoretical and applied climatology Springer-Verlag, 1986 67(2000), 1-2 vom: Okt., Seite 1-18 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:67 year:2000 number:1-2 month:10 pages:1-18 https://doi.org/10.1007/s007040070012 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_40 GBV_ILN_70 GBV_ILN_601 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4037 GBV_ILN_4306 GBV_ILN_4311 GBV_ILN_4313 RA 1000 AR 67 2000 1-2 10 1-18 |
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10.1007/s007040070012 doi (DE-627)OLC2048436706 (DE-He213)s007040070012-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Huth, R. verfasserin aut A circulation classification scheme applicable in GCM studies 2000 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag/Wien 2000 Summary The goal of the paper is to present and examine the method of classification of daily circulation patterns that allows (i) a fair comparison of groupings among different datasets (typically representing the observed climate and that simulated by a general circulation model, GCM) and (ii) huge datasets, common in GCM studies based on daily values, to be classified. The circulation classification method is shown to be a useful tool in GCM validation and analysis of climate change response, particularly in comparisons of (i) shapes of the mean type patterns, (ii) the frequency and persistence of the types, (iii) the probability of transitions from one type to another, and (iv) conditional surface temperature distributions. It is also shown that a simultaneous examination of multiple classifications is beneficial in eliminating subjectivity of any single classification and allowing a detailed inspection of differences between climates. The classification method is a modification of the T-mode principal component analysis (PCA). The T-mode refers to the input data matrix where gridpoint values are arranged in rows and daily patterns in columns. The classification procedure is applied to observed daily 500 hPa geopotential height patterns and those simulated by the control and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document} ECHAM3 GCM runs. Classification Scheme Circulation Model General Circulation General Circulation Model Circulation Pattern Enthalten in Theoretical and applied climatology Springer-Verlag, 1986 67(2000), 1-2 vom: Okt., Seite 1-18 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:67 year:2000 number:1-2 month:10 pages:1-18 https://doi.org/10.1007/s007040070012 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_40 GBV_ILN_70 GBV_ILN_601 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4037 GBV_ILN_4306 GBV_ILN_4311 GBV_ILN_4313 RA 1000 AR 67 2000 1-2 10 1-18 |
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10.1007/s007040070012 doi (DE-627)OLC2048436706 (DE-He213)s007040070012-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn RA 1000 VZ rvk Huth, R. verfasserin aut A circulation classification scheme applicable in GCM studies 2000 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag/Wien 2000 Summary The goal of the paper is to present and examine the method of classification of daily circulation patterns that allows (i) a fair comparison of groupings among different datasets (typically representing the observed climate and that simulated by a general circulation model, GCM) and (ii) huge datasets, common in GCM studies based on daily values, to be classified. The circulation classification method is shown to be a useful tool in GCM validation and analysis of climate change response, particularly in comparisons of (i) shapes of the mean type patterns, (ii) the frequency and persistence of the types, (iii) the probability of transitions from one type to another, and (iv) conditional surface temperature distributions. It is also shown that a simultaneous examination of multiple classifications is beneficial in eliminating subjectivity of any single classification and allowing a detailed inspection of differences between climates. The classification method is a modification of the T-mode principal component analysis (PCA). The T-mode refers to the input data matrix where gridpoint values are arranged in rows and daily patterns in columns. The classification procedure is applied to observed daily 500 hPa geopotential height patterns and those simulated by the control and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document} ECHAM3 GCM runs. Classification Scheme Circulation Model General Circulation General Circulation Model Circulation Pattern Enthalten in Theoretical and applied climatology Springer-Verlag, 1986 67(2000), 1-2 vom: Okt., Seite 1-18 (DE-627)129958808 (DE-600)405799-5 (DE-576)01552857X 0177-798X nnns volume:67 year:2000 number:1-2 month:10 pages:1-18 https://doi.org/10.1007/s007040070012 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_40 GBV_ILN_70 GBV_ILN_601 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4029 GBV_ILN_4037 GBV_ILN_4306 GBV_ILN_4311 GBV_ILN_4313 RA 1000 AR 67 2000 1-2 10 1-18 |
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Summary The goal of the paper is to present and examine the method of classification of daily circulation patterns that allows (i) a fair comparison of groupings among different datasets (typically representing the observed climate and that simulated by a general circulation model, GCM) and (ii) huge datasets, common in GCM studies based on daily values, to be classified. The circulation classification method is shown to be a useful tool in GCM validation and analysis of climate change response, particularly in comparisons of (i) shapes of the mean type patterns, (ii) the frequency and persistence of the types, (iii) the probability of transitions from one type to another, and (iv) conditional surface temperature distributions. It is also shown that a simultaneous examination of multiple classifications is beneficial in eliminating subjectivity of any single classification and allowing a detailed inspection of differences between climates. The classification method is a modification of the T-mode principal component analysis (PCA). The T-mode refers to the input data matrix where gridpoint values are arranged in rows and daily patterns in columns. The classification procedure is applied to observed daily 500 hPa geopotential height patterns and those simulated by the control and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document} ECHAM3 GCM runs. © Springer-Verlag/Wien 2000 |
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Summary The goal of the paper is to present and examine the method of classification of daily circulation patterns that allows (i) a fair comparison of groupings among different datasets (typically representing the observed climate and that simulated by a general circulation model, GCM) and (ii) huge datasets, common in GCM studies based on daily values, to be classified. The circulation classification method is shown to be a useful tool in GCM validation and analysis of climate change response, particularly in comparisons of (i) shapes of the mean type patterns, (ii) the frequency and persistence of the types, (iii) the probability of transitions from one type to another, and (iv) conditional surface temperature distributions. It is also shown that a simultaneous examination of multiple classifications is beneficial in eliminating subjectivity of any single classification and allowing a detailed inspection of differences between climates. The classification method is a modification of the T-mode principal component analysis (PCA). The T-mode refers to the input data matrix where gridpoint values are arranged in rows and daily patterns in columns. The classification procedure is applied to observed daily 500 hPa geopotential height patterns and those simulated by the control and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document} ECHAM3 GCM runs. © Springer-Verlag/Wien 2000 |
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Summary The goal of the paper is to present and examine the method of classification of daily circulation patterns that allows (i) a fair comparison of groupings among different datasets (typically representing the observed climate and that simulated by a general circulation model, GCM) and (ii) huge datasets, common in GCM studies based on daily values, to be classified. The circulation classification method is shown to be a useful tool in GCM validation and analysis of climate change response, particularly in comparisons of (i) shapes of the mean type patterns, (ii) the frequency and persistence of the types, (iii) the probability of transitions from one type to another, and (iv) conditional surface temperature distributions. It is also shown that a simultaneous examination of multiple classifications is beneficial in eliminating subjectivity of any single classification and allowing a detailed inspection of differences between climates. The classification method is a modification of the T-mode principal component analysis (PCA). The T-mode refers to the input data matrix where gridpoint values are arranged in rows and daily patterns in columns. The classification procedure is applied to observed daily 500 hPa geopotential height patterns and those simulated by the control and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document} ECHAM3 GCM runs. © Springer-Verlag/Wien 2000 |
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