A cautionary note on the computation of daily mean temperatures and their trends

There are different methodologies to compute daily mean temperatures (DMT), including averaging the 24-hourly temperature values, readings at specific times throughout the day or simply averaging the minimum and maximum daily temperatures. This study provides an intercomparison of some of such metho...

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Autor principal: Saurral, Ramiro Ignacio
Publicado: 2017
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v37_n9_p3743_Saurral
http://hdl.handle.net/20.500.12110/paper_08998418_v37_n9_p3743_Saurral
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spelling paper:paper_08998418_v37_n9_p3743_Saurral2023-06-08T15:49:48Z A cautionary note on the computation of daily mean temperatures and their trends Saurral, Ramiro Ignacio cloud cover daily mean temperature global warming temperature trends wind intensity Global warming Cloud cover Daily temperatures Local weather conditions Mean temperature Meteorological station Temperature trends Temperature values Wind intensity Meteorology cloud cover diurnal variation global warming temperature gradient trend analysis warming wind velocity Argentina There are different methodologies to compute daily mean temperatures (DMT), including averaging the 24-hourly temperature values, readings at specific times throughout the day or simply averaging the minimum and maximum daily temperatures. This study provides an intercomparison of some of such methods applied to six meteorological stations in Argentina with continuous hourly measurements for a period of more than 24 years. Results show that differences arising from the various methodologies are largely dependent on the local weather conditions, particularly those related to cloud cover and wind intensity, while the role of air moisture is less important. Furthermore, trends derived from DMT estimates using different methodologies are found to be highly sensitive to the chosen method. In fact, statistically insignificant trends could be significant should other methodologies to calculate DMT had been used. This result could be of importance for diverse scientific areas such as agriculture or climate warming studies. © 2016 Royal Meteorological Society Fil:Saurral, R.I. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2017 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v37_n9_p3743_Saurral http://hdl.handle.net/20.500.12110/paper_08998418_v37_n9_p3743_Saurral
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic cloud cover
daily mean temperature
global warming
temperature trends
wind intensity
Global warming
Cloud cover
Daily temperatures
Local weather conditions
Mean temperature
Meteorological station
Temperature trends
Temperature values
Wind intensity
Meteorology
cloud cover
diurnal variation
global warming
temperature gradient
trend analysis
warming
wind velocity
Argentina
spellingShingle cloud cover
daily mean temperature
global warming
temperature trends
wind intensity
Global warming
Cloud cover
Daily temperatures
Local weather conditions
Mean temperature
Meteorological station
Temperature trends
Temperature values
Wind intensity
Meteorology
cloud cover
diurnal variation
global warming
temperature gradient
trend analysis
warming
wind velocity
Argentina
Saurral, Ramiro Ignacio
A cautionary note on the computation of daily mean temperatures and their trends
topic_facet cloud cover
daily mean temperature
global warming
temperature trends
wind intensity
Global warming
Cloud cover
Daily temperatures
Local weather conditions
Mean temperature
Meteorological station
Temperature trends
Temperature values
Wind intensity
Meteorology
cloud cover
diurnal variation
global warming
temperature gradient
trend analysis
warming
wind velocity
Argentina
description There are different methodologies to compute daily mean temperatures (DMT), including averaging the 24-hourly temperature values, readings at specific times throughout the day or simply averaging the minimum and maximum daily temperatures. This study provides an intercomparison of some of such methods applied to six meteorological stations in Argentina with continuous hourly measurements for a period of more than 24 years. Results show that differences arising from the various methodologies are largely dependent on the local weather conditions, particularly those related to cloud cover and wind intensity, while the role of air moisture is less important. Furthermore, trends derived from DMT estimates using different methodologies are found to be highly sensitive to the chosen method. In fact, statistically insignificant trends could be significant should other methodologies to calculate DMT had been used. This result could be of importance for diverse scientific areas such as agriculture or climate warming studies. © 2016 Royal Meteorological Society
author Saurral, Ramiro Ignacio
author_facet Saurral, Ramiro Ignacio
author_sort Saurral, Ramiro Ignacio
title A cautionary note on the computation of daily mean temperatures and their trends
title_short A cautionary note on the computation of daily mean temperatures and their trends
title_full A cautionary note on the computation of daily mean temperatures and their trends
title_fullStr A cautionary note on the computation of daily mean temperatures and their trends
title_full_unstemmed A cautionary note on the computation of daily mean temperatures and their trends
title_sort cautionary note on the computation of daily mean temperatures and their trends
publishDate 2017
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v37_n9_p3743_Saurral
http://hdl.handle.net/20.500.12110/paper_08998418_v37_n9_p3743_Saurral
work_keys_str_mv AT saurralramiroignacio acautionarynoteonthecomputationofdailymeantemperaturesandtheirtrends
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