Persistence and long-term memories of daily maximum and minimum temperatures in southern South America
The persistence and long-term memories in daily maximum and minimum temperature series during the instrumental period in southern South America were analysed. Here, we found a markedly seasonal pattern both for short- and long-term memories that can lead to enhanced predictability on intraseasonal t...
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2011
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0177798X_v105_n3_p341_Naumann http://hdl.handle.net/20.500.12110/paper_0177798X_v105_n3_p341_Naumann |
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paper:paper_0177798X_v105_n3_p341_Naumann2023-06-08T15:19:10Z Persistence and long-term memories of daily maximum and minimum temperatures in southern South America Naumann, Gustavo Vargas, Walter Mario Minetti, Juan Leonidas air temperature spatiotemporal analysis spring (season) stochasticity temperature anomaly winter Patagonia The persistence and long-term memories in daily maximum and minimum temperature series during the instrumental period in southern South America were analysed. Here, we found a markedly seasonal pattern both for short- and long-term memories that can lead to enhanced predictability on intraseasonal timescales. In addition, well-defined spatial patterns of these properties were found in the region. Throughout the entire region, the strongest dependence was observed in autumn and early winter. In the Patagonia region only, the temperatures exhibited more memory during the spring. In general, these elements indicate that nonlinear interactions exist between the annual cycles of temperature and its anomalies. Knowledge of the spatiotemporal behaviour of these long-term memories can be used in the building of stochastic models that only use persistence. It is possible to propose two objective forecast models based on linear interactions associated with persistence and one that allows for the use of information from nonlinear interactions that are manifested in the form of forerunners. © 2011 Springer-Verlag. Fil:Naumann, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Vargas, W.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Minetti, J.L. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2011 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0177798X_v105_n3_p341_Naumann http://hdl.handle.net/20.500.12110/paper_0177798X_v105_n3_p341_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 |
air temperature spatiotemporal analysis spring (season) stochasticity temperature anomaly winter Patagonia |
spellingShingle |
air temperature spatiotemporal analysis spring (season) stochasticity temperature anomaly winter Patagonia Naumann, Gustavo Vargas, Walter Mario Minetti, Juan Leonidas Persistence and long-term memories of daily maximum and minimum temperatures in southern South America |
topic_facet |
air temperature spatiotemporal analysis spring (season) stochasticity temperature anomaly winter Patagonia |
description |
The persistence and long-term memories in daily maximum and minimum temperature series during the instrumental period in southern South America were analysed. Here, we found a markedly seasonal pattern both for short- and long-term memories that can lead to enhanced predictability on intraseasonal timescales. In addition, well-defined spatial patterns of these properties were found in the region. Throughout the entire region, the strongest dependence was observed in autumn and early winter. In the Patagonia region only, the temperatures exhibited more memory during the spring. In general, these elements indicate that nonlinear interactions exist between the annual cycles of temperature and its anomalies. Knowledge of the spatiotemporal behaviour of these long-term memories can be used in the building of stochastic models that only use persistence. It is possible to propose two objective forecast models based on linear interactions associated with persistence and one that allows for the use of information from nonlinear interactions that are manifested in the form of forerunners. © 2011 Springer-Verlag. |
author |
Naumann, Gustavo Vargas, Walter Mario Minetti, Juan Leonidas |
author_facet |
Naumann, Gustavo Vargas, Walter Mario Minetti, Juan Leonidas |
author_sort |
Naumann, Gustavo |
title |
Persistence and long-term memories of daily maximum and minimum temperatures in southern South America |
title_short |
Persistence and long-term memories of daily maximum and minimum temperatures in southern South America |
title_full |
Persistence and long-term memories of daily maximum and minimum temperatures in southern South America |
title_fullStr |
Persistence and long-term memories of daily maximum and minimum temperatures in southern South America |
title_full_unstemmed |
Persistence and long-term memories of daily maximum and minimum temperatures in southern South America |
title_sort |
persistence and long-term memories of daily maximum and minimum temperatures in southern south america |
publishDate |
2011 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0177798X_v105_n3_p341_Naumann http://hdl.handle.net/20.500.12110/paper_0177798X_v105_n3_p341_Naumann |
work_keys_str_mv |
AT naumanngustavo persistenceandlongtermmemoriesofdailymaximumandminimumtemperaturesinsouthernsouthamerica AT vargaswaltermario persistenceandlongtermmemoriesofdailymaximumandminimumtemperaturesinsouthernsouthamerica AT minettijuanleonidas persistenceandlongtermmemoriesofdailymaximumandminimumtemperaturesinsouthernsouthamerica |
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1768543894566338560 |