Impacts of climatic change and low frequency variability in reference series on daily maximum and minimum temperature in southern South America
Abstract Understanding the climate and its variability, in particular with regard to their socioeconomic impact, requires specific measurements of precipitation and temperature and their circulations. This becomes more important in applications to diverse systems. In order to improve knowledge about...
Ausführliche Beschreibung
Autor*in: |
Vargas, Walter M. [verfasserIn] Naumann, Gustavo [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2008 |
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Übergeordnetes Werk: |
Enthalten in: Regional Environmental Change - Springer-Verlag, 2001, 8(2008), 2 vom: 20. März, Seite 45-57 |
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Übergeordnetes Werk: |
volume:8 ; year:2008 ; number:2 ; day:20 ; month:03 ; pages:45-57 |
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DOI / URN: |
10.1007/s10113-007-0041-5 |
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10.1007/s10113-007-0041-5 doi (DE-627)SPR00880950X (SPR)s10113-007-0041-5-e DE-627 ger DE-627 rakwb eng Vargas, Walter M. verfasserin aut Impacts of climatic change and low frequency variability in reference series on daily maximum and minimum temperature in southern South America 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Understanding the climate and its variability, in particular with regard to their socioeconomic impact, requires specific measurements of precipitation and temperature and their circulations. This becomes more important in applications to diverse systems. In order to improve knowledge about temporal changes and trends in temperature, we analyzed series of maximum and minimum daily surface temperatures at eight reference stations in southeastern South America during variable periods, with the longest periods of around 100 years. To study the evolution of the temperature series and to reduce the number of parameters, a nonhierarchical cluster analysis was performed. The algorithm assigns each day to one of four groups: warm, wet, cold and dry. Low frequency variations were found in these groups and their association with circulation structure, circulation patterns and precipitation. We concluded that the set of wet days is one of the main factors driving secular variations of maximum and minimum temperature and variations in precipitation. We also inferred that after 1920 till 1930, a low frequency oscillation is observed in the form of linear trends (increase of warm days and decrease of cold days). Low frequency variability (dpeaa)DE-He213 Daily temperatures (dpeaa)DE-He213 Reference series (dpeaa)DE-He213 Naumann, Gustavo verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 8(2008), 2 vom: 20. März, Seite 45-57 (DE-627)SPR008808457 nnns volume:8 year:2008 number:2 day:20 month:03 pages:45-57 https://dx.doi.org/10.1007/s10113-007-0041-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 8 2008 2 20 03 45-57 |
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10.1007/s10113-007-0041-5 doi (DE-627)SPR00880950X (SPR)s10113-007-0041-5-e DE-627 ger DE-627 rakwb eng Vargas, Walter M. verfasserin aut Impacts of climatic change and low frequency variability in reference series on daily maximum and minimum temperature in southern South America 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Understanding the climate and its variability, in particular with regard to their socioeconomic impact, requires specific measurements of precipitation and temperature and their circulations. This becomes more important in applications to diverse systems. In order to improve knowledge about temporal changes and trends in temperature, we analyzed series of maximum and minimum daily surface temperatures at eight reference stations in southeastern South America during variable periods, with the longest periods of around 100 years. To study the evolution of the temperature series and to reduce the number of parameters, a nonhierarchical cluster analysis was performed. The algorithm assigns each day to one of four groups: warm, wet, cold and dry. Low frequency variations were found in these groups and their association with circulation structure, circulation patterns and precipitation. We concluded that the set of wet days is one of the main factors driving secular variations of maximum and minimum temperature and variations in precipitation. We also inferred that after 1920 till 1930, a low frequency oscillation is observed in the form of linear trends (increase of warm days and decrease of cold days). Low frequency variability (dpeaa)DE-He213 Daily temperatures (dpeaa)DE-He213 Reference series (dpeaa)DE-He213 Naumann, Gustavo verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 8(2008), 2 vom: 20. März, Seite 45-57 (DE-627)SPR008808457 nnns volume:8 year:2008 number:2 day:20 month:03 pages:45-57 https://dx.doi.org/10.1007/s10113-007-0041-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 8 2008 2 20 03 45-57 |
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10.1007/s10113-007-0041-5 doi (DE-627)SPR00880950X (SPR)s10113-007-0041-5-e DE-627 ger DE-627 rakwb eng Vargas, Walter M. verfasserin aut Impacts of climatic change and low frequency variability in reference series on daily maximum and minimum temperature in southern South America 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Understanding the climate and its variability, in particular with regard to their socioeconomic impact, requires specific measurements of precipitation and temperature and their circulations. This becomes more important in applications to diverse systems. In order to improve knowledge about temporal changes and trends in temperature, we analyzed series of maximum and minimum daily surface temperatures at eight reference stations in southeastern South America during variable periods, with the longest periods of around 100 years. To study the evolution of the temperature series and to reduce the number of parameters, a nonhierarchical cluster analysis was performed. The algorithm assigns each day to one of four groups: warm, wet, cold and dry. Low frequency variations were found in these groups and their association with circulation structure, circulation patterns and precipitation. We concluded that the set of wet days is one of the main factors driving secular variations of maximum and minimum temperature and variations in precipitation. We also inferred that after 1920 till 1930, a low frequency oscillation is observed in the form of linear trends (increase of warm days and decrease of cold days). Low frequency variability (dpeaa)DE-He213 Daily temperatures (dpeaa)DE-He213 Reference series (dpeaa)DE-He213 Naumann, Gustavo verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 8(2008), 2 vom: 20. März, Seite 45-57 (DE-627)SPR008808457 nnns volume:8 year:2008 number:2 day:20 month:03 pages:45-57 https://dx.doi.org/10.1007/s10113-007-0041-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 8 2008 2 20 03 45-57 |
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10.1007/s10113-007-0041-5 doi (DE-627)SPR00880950X (SPR)s10113-007-0041-5-e DE-627 ger DE-627 rakwb eng Vargas, Walter M. verfasserin aut Impacts of climatic change and low frequency variability in reference series on daily maximum and minimum temperature in southern South America 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Understanding the climate and its variability, in particular with regard to their socioeconomic impact, requires specific measurements of precipitation and temperature and their circulations. This becomes more important in applications to diverse systems. In order to improve knowledge about temporal changes and trends in temperature, we analyzed series of maximum and minimum daily surface temperatures at eight reference stations in southeastern South America during variable periods, with the longest periods of around 100 years. To study the evolution of the temperature series and to reduce the number of parameters, a nonhierarchical cluster analysis was performed. The algorithm assigns each day to one of four groups: warm, wet, cold and dry. Low frequency variations were found in these groups and their association with circulation structure, circulation patterns and precipitation. We concluded that the set of wet days is one of the main factors driving secular variations of maximum and minimum temperature and variations in precipitation. We also inferred that after 1920 till 1930, a low frequency oscillation is observed in the form of linear trends (increase of warm days and decrease of cold days). Low frequency variability (dpeaa)DE-He213 Daily temperatures (dpeaa)DE-He213 Reference series (dpeaa)DE-He213 Naumann, Gustavo verfasserin aut Enthalten in Regional Environmental Change Springer-Verlag, 2001 8(2008), 2 vom: 20. März, Seite 45-57 (DE-627)SPR008808457 nnns volume:8 year:2008 number:2 day:20 month:03 pages:45-57 https://dx.doi.org/10.1007/s10113-007-0041-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 8 2008 2 20 03 45-57 |
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Impacts of climatic change and low frequency variability in reference series on daily maximum and minimum temperature in southern South America |
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Abstract Understanding the climate and its variability, in particular with regard to their socioeconomic impact, requires specific measurements of precipitation and temperature and their circulations. This becomes more important in applications to diverse systems. In order to improve knowledge about temporal changes and trends in temperature, we analyzed series of maximum and minimum daily surface temperatures at eight reference stations in southeastern South America during variable periods, with the longest periods of around 100 years. To study the evolution of the temperature series and to reduce the number of parameters, a nonhierarchical cluster analysis was performed. The algorithm assigns each day to one of four groups: warm, wet, cold and dry. Low frequency variations were found in these groups and their association with circulation structure, circulation patterns and precipitation. We concluded that the set of wet days is one of the main factors driving secular variations of maximum and minimum temperature and variations in precipitation. We also inferred that after 1920 till 1930, a low frequency oscillation is observed in the form of linear trends (increase of warm days and decrease of cold days). |
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Abstract Understanding the climate and its variability, in particular with regard to their socioeconomic impact, requires specific measurements of precipitation and temperature and their circulations. This becomes more important in applications to diverse systems. In order to improve knowledge about temporal changes and trends in temperature, we analyzed series of maximum and minimum daily surface temperatures at eight reference stations in southeastern South America during variable periods, with the longest periods of around 100 years. To study the evolution of the temperature series and to reduce the number of parameters, a nonhierarchical cluster analysis was performed. The algorithm assigns each day to one of four groups: warm, wet, cold and dry. Low frequency variations were found in these groups and their association with circulation structure, circulation patterns and precipitation. We concluded that the set of wet days is one of the main factors driving secular variations of maximum and minimum temperature and variations in precipitation. We also inferred that after 1920 till 1930, a low frequency oscillation is observed in the form of linear trends (increase of warm days and decrease of cold days). |
abstract_unstemmed |
Abstract Understanding the climate and its variability, in particular with regard to their socioeconomic impact, requires specific measurements of precipitation and temperature and their circulations. This becomes more important in applications to diverse systems. In order to improve knowledge about temporal changes and trends in temperature, we analyzed series of maximum and minimum daily surface temperatures at eight reference stations in southeastern South America during variable periods, with the longest periods of around 100 years. To study the evolution of the temperature series and to reduce the number of parameters, a nonhierarchical cluster analysis was performed. The algorithm assigns each day to one of four groups: warm, wet, cold and dry. Low frequency variations were found in these groups and their association with circulation structure, circulation patterns and precipitation. We concluded that the set of wet days is one of the main factors driving secular variations of maximum and minimum temperature and variations in precipitation. We also inferred that after 1920 till 1930, a low frequency oscillation is observed in the form of linear trends (increase of warm days and decrease of cold days). |
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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">SPR00880950X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20201124052002.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201005s2008 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10113-007-0041-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR00880950X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10113-007-0041-5-e</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="100" ind1="1" ind2=" "><subfield code="a">Vargas, Walter M.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Impacts of climatic change and low frequency variability in reference series on daily maximum and minimum temperature in southern South America</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2008</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Understanding the climate and its variability, in particular with regard to their socioeconomic impact, requires specific measurements of precipitation and temperature and their circulations. This becomes more important in applications to diverse systems. In order to improve knowledge about temporal changes and trends in temperature, we analyzed series of maximum and minimum daily surface temperatures at eight reference stations in southeastern South America during variable periods, with the longest periods of around 100 years. To study the evolution of the temperature series and to reduce the number of parameters, a nonhierarchical cluster analysis was performed. The algorithm assigns each day to one of four groups: warm, wet, cold and dry. Low frequency variations were found in these groups and their association with circulation structure, circulation patterns and precipitation. We concluded that the set of wet days is one of the main factors driving secular variations of maximum and minimum temperature and variations in precipitation. We also inferred that after 1920 till 1930, a low frequency oscillation is observed in the form of linear trends (increase of warm days and decrease of cold days).</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Low frequency variability</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Daily temperatures</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reference series</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Naumann, Gustavo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Regional Environmental Change</subfield><subfield code="d">Springer-Verlag, 2001</subfield><subfield code="g">8(2008), 2 vom: 20. 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