Changes in the predictability of the daily thermal structure in southern South America using information theory
Spatiotemporal behaviors of predictability of climate system were studied. These were analyzed as changes in persistence and system memory using information theory. This study was performed by coupling a cluster analysis algorithm and conditional entropy in southern South America. The spatial analys...
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2009
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00948276_v36_n9_p_Naumann http://hdl.handle.net/20.500.12110/paper_00948276_v36_n9_p_Naumann |
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paper:paper_00948276_v36_n9_p_Naumann |
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paper:paper_00948276_v36_n9_p_Naumann2023-06-08T15:09:35Z Changes in the predictability of the daily thermal structure in southern South America using information theory Climate system Conditional entropy Cyclical variation Low frequency variability Meridional gradients Northern regions South America Spatial analysis Spatiotemporal behaviors System memory Temporal change Thermal structure Cluster analysis Information theory Information use Entropy climate conditions diurnal variation entropy forecasting method prediction thermal structure South America Spatiotemporal behaviors of predictability of climate system were studied. These were analyzed as changes in persistence and system memory using information theory. This study was performed by coupling a cluster analysis algorithm and conditional entropy in southern South America. The spatial analysis of the entropy showed that a meridional gradient exists in the entire region, and its maximum is in the southern region. In this study, the gradients of this property in the northern regions yield predictabilities that are twice those in the southern part of South America. Temporal changes in conditional entropy were observed with quasi-cyclical variations. The low frequency variability estimate in the conditional entropy indicates that the dominant wave is approximately 18 years. The changes observed in the persistence and conditional entropy, especially in groups that representing the warm and cold days, suggest that changes in objective forecasting are necessary. Copyright 2009 by the American Geophysical Union. 2009 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00948276_v36_n9_p_Naumann http://hdl.handle.net/20.500.12110/paper_00948276_v36_n9_p_Naumann |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Climate system Conditional entropy Cyclical variation Low frequency variability Meridional gradients Northern regions South America Spatial analysis Spatiotemporal behaviors System memory Temporal change Thermal structure Cluster analysis Information theory Information use Entropy climate conditions diurnal variation entropy forecasting method prediction thermal structure South America |
| spellingShingle |
Climate system Conditional entropy Cyclical variation Low frequency variability Meridional gradients Northern regions South America Spatial analysis Spatiotemporal behaviors System memory Temporal change Thermal structure Cluster analysis Information theory Information use Entropy climate conditions diurnal variation entropy forecasting method prediction thermal structure South America Changes in the predictability of the daily thermal structure in southern South America using information theory |
| topic_facet |
Climate system Conditional entropy Cyclical variation Low frequency variability Meridional gradients Northern regions South America Spatial analysis Spatiotemporal behaviors System memory Temporal change Thermal structure Cluster analysis Information theory Information use Entropy climate conditions diurnal variation entropy forecasting method prediction thermal structure South America |
| description |
Spatiotemporal behaviors of predictability of climate system were studied. These were analyzed as changes in persistence and system memory using information theory. This study was performed by coupling a cluster analysis algorithm and conditional entropy in southern South America. The spatial analysis of the entropy showed that a meridional gradient exists in the entire region, and its maximum is in the southern region. In this study, the gradients of this property in the northern regions yield predictabilities that are twice those in the southern part of South America. Temporal changes in conditional entropy were observed with quasi-cyclical variations. The low frequency variability estimate in the conditional entropy indicates that the dominant wave is approximately 18 years. The changes observed in the persistence and conditional entropy, especially in groups that representing the warm and cold days, suggest that changes in objective forecasting are necessary. Copyright 2009 by the American Geophysical Union. |
| title |
Changes in the predictability of the daily thermal structure in southern South America using information theory |
| title_short |
Changes in the predictability of the daily thermal structure in southern South America using information theory |
| title_full |
Changes in the predictability of the daily thermal structure in southern South America using information theory |
| title_fullStr |
Changes in the predictability of the daily thermal structure in southern South America using information theory |
| title_full_unstemmed |
Changes in the predictability of the daily thermal structure in southern South America using information theory |
| title_sort |
changes in the predictability of the daily thermal structure in southern south america using information theory |
| publishDate |
2009 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00948276_v36_n9_p_Naumann http://hdl.handle.net/20.500.12110/paper_00948276_v36_n9_p_Naumann |
| _version_ |
1768546340910923776 |