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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Autores principales: Naumann, G., Vargas, W.M., Minetti, J.L.
Formato: JOUR
Materias:
air temperature
spatiotemporal analysis
spring (season)
stochasticity
temperature anomaly
winter
Patagonia
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0177798X_v105_n3_p341_Naumann
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_0177798X_v105_n3_p341_Naumann
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spelling todo:paper_0177798X_v105_n3_p341_Naumann2023-10-03T15:08:09Z Persistence and long-term memories of daily maximum and minimum temperatures in southern South America Naumann, G. Vargas, W.M. Minetti, J.L. 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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, G.
Vargas, W.M.
Minetti, J.L.
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.
format JOUR
author Naumann, G.
Vargas, W.M.
Minetti, J.L.
author_facet Naumann, G.
Vargas, W.M.
Minetti, J.L.
author_sort Naumann, G.
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
url http://hdl.handle.net/20.500.12110/paper_0177798X_v105_n3_p341_Naumann
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AT vargaswm persistenceandlongtermmemoriesofdailymaximumandminimumtemperaturesinsouthernsouthamerica
AT minettijl persistenceandlongtermmemoriesofdailymaximumandminimumtemperaturesinsouthernsouthamerica
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