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Future Temperature Extremes Will Be More Harmful: A New Critical Factor for Improved Forecasts

There is increasing evidence that extreme weather events such as frequent and intense cold spells and heat waves cause unprecedented deaths and diseases in both developed and developing countries. Thus, they require extensive and immediate research to limit the risks involved. Average temperatures i...

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Detalles Bibliográficos
Autores principales: Costas A, Varotsos, Yuri A, Mazei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843981/
https://www.ncbi.nlm.nih.gov/pubmed/31635142
http://dx.doi.org/10.3390/ijerph16204015
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author Costas A, Varotsos
Yuri A, Mazei
author_facet Costas A, Varotsos
Yuri A, Mazei
author_sort Costas A, Varotsos
collection PubMed
description There is increasing evidence that extreme weather events such as frequent and intense cold spells and heat waves cause unprecedented deaths and diseases in both developed and developing countries. Thus, they require extensive and immediate research to limit the risks involved. Average temperatures in Europe in June–July 2019 were the hottest ever measured and attributed to climate change. The problem, however, of a thorough study of natural climate change is the lack of experimental data from the long past, where anthropogenic activity was then very limited. Today, this problem can be successfully resolved using, inter alia, biological indicators that have provided reliable environmental information for thousands of years in the past. The present study used high-resolution quantitative reconstruction data derived from biological records of Lake Silvaplana sediments covering the period 1181–1945. The purpose of this study was to determine whether a slight temperature change in the past could trigger current or future intense temperature change or changes. Modern analytical tools were used for this purpose, which eventually showed that temperature fluctuations were persistent. That is, they exhibit long memory with scaling behavior, which means that an increase (decrease) in temperature in the past was always followed by another increase (decrease) in the future with multiple amplitudes. Therefore, the increase in the frequency, intensity, and duration of extreme temperature events due to climate change will be more pronounced than expected. This will affect human well-being and mortality more than that estimated in today’s modeling scenarios. The scaling property detected here can be used for more accurate monthly to decadal forecasting of extreme temperature events. Thus, it is possible to develop improved early warning systems that will reduce the public health risk at local, national, and international levels.
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spelling pubmed-68439812019-11-18 Future Temperature Extremes Will Be More Harmful: A New Critical Factor for Improved Forecasts Costas A, Varotsos Yuri A, Mazei Int J Environ Res Public Health Article There is increasing evidence that extreme weather events such as frequent and intense cold spells and heat waves cause unprecedented deaths and diseases in both developed and developing countries. Thus, they require extensive and immediate research to limit the risks involved. Average temperatures in Europe in June–July 2019 were the hottest ever measured and attributed to climate change. The problem, however, of a thorough study of natural climate change is the lack of experimental data from the long past, where anthropogenic activity was then very limited. Today, this problem can be successfully resolved using, inter alia, biological indicators that have provided reliable environmental information for thousands of years in the past. The present study used high-resolution quantitative reconstruction data derived from biological records of Lake Silvaplana sediments covering the period 1181–1945. The purpose of this study was to determine whether a slight temperature change in the past could trigger current or future intense temperature change or changes. Modern analytical tools were used for this purpose, which eventually showed that temperature fluctuations were persistent. That is, they exhibit long memory with scaling behavior, which means that an increase (decrease) in temperature in the past was always followed by another increase (decrease) in the future with multiple amplitudes. Therefore, the increase in the frequency, intensity, and duration of extreme temperature events due to climate change will be more pronounced than expected. This will affect human well-being and mortality more than that estimated in today’s modeling scenarios. The scaling property detected here can be used for more accurate monthly to decadal forecasting of extreme temperature events. Thus, it is possible to develop improved early warning systems that will reduce the public health risk at local, national, and international levels. MDPI 2019-10-20 2019-10 /pmc/articles/PMC6843981/ /pubmed/31635142 http://dx.doi.org/10.3390/ijerph16204015 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Costas A, Varotsos
Yuri A, Mazei
Future Temperature Extremes Will Be More Harmful: A New Critical Factor for Improved Forecasts
title Future Temperature Extremes Will Be More Harmful: A New Critical Factor for Improved Forecasts
title_full Future Temperature Extremes Will Be More Harmful: A New Critical Factor for Improved Forecasts
title_fullStr Future Temperature Extremes Will Be More Harmful: A New Critical Factor for Improved Forecasts
title_full_unstemmed Future Temperature Extremes Will Be More Harmful: A New Critical Factor for Improved Forecasts
title_short Future Temperature Extremes Will Be More Harmful: A New Critical Factor for Improved Forecasts
title_sort future temperature extremes will be more harmful: a new critical factor for improved forecasts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843981/
https://www.ncbi.nlm.nih.gov/pubmed/31635142
http://dx.doi.org/10.3390/ijerph16204015
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