Historical global and regional spatiotemporal patterns in daily temperature

The abrupt increase in surface air temperature over the last few decades has received abundant scholarly and popular attention. However, less attention has focused on the specific nature of the warming spatially and seasonally, using high-resolution reanalysis output based on historical temperature...

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Published in:Frontiers in Environmental Science
Main Authors: Md Adilur Rahim, Robert V. Rohli, Rubayet Bin Mostafiz, Nazla Bushra, Carol J. Friedland
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2024
Subjects:
Online Access:https://doi.org/10.3389/fenvs.2023.1294456
https://doaj.org/article/31f648cf77344c649583911b808d2ee2
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spelling ftdoajarticles:oai:doaj.org/article:31f648cf77344c649583911b808d2ee2 2024-02-27T08:38:14+00:00 Historical global and regional spatiotemporal patterns in daily temperature Md Adilur Rahim Robert V. Rohli Rubayet Bin Mostafiz Nazla Bushra Carol J. Friedland 2024-01-01T00:00:00Z https://doi.org/10.3389/fenvs.2023.1294456 https://doaj.org/article/31f648cf77344c649583911b808d2ee2 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fenvs.2023.1294456/full https://doaj.org/toc/2296-665X 2296-665X doi:10.3389/fenvs.2023.1294456 https://doaj.org/article/31f648cf77344c649583911b808d2ee2 Frontiers in Environmental Science, Vol 11 (2024) global climate change global warming ERA5 land skin temperature regional climate anomalies seasonal temperature change Environmental sciences GE1-350 article 2024 ftdoajarticles https://doi.org/10.3389/fenvs.2023.1294456 2024-01-28T02:21:49Z The abrupt increase in surface air temperature over the last few decades has received abundant scholarly and popular attention. However, less attention has focused on the specific nature of the warming spatially and seasonally, using high-resolution reanalysis output based on historical temperature observations. This research uses the European Centre for Medium-range Weather Forecasts (ECMWF) Reanalysis Version 5 (ERA5) output to identify spatiotemporal features of daily mean surface air temperature, defined both as the mean of the maximum and minimum temperatures over the calendar day (“meanmaxmin”) and as the mean of the 24 hourly observations per day (“meanhourly”), across the terrestrial Earth. Results suggest temporal warming throughout the year, with several “hot spots” of significantly increasing temperature, including in the Arctic transition seasons, Northern Hemisphere mid-latitudes in July, Eurasia in spring, Europe and the lower latitudes in summer, and tropical autumn. Cooling is also observed, but generally at rates more likely to be statistically insignificant than warming rates. These trends are nearly identical regardless of whether calculated as “meanmaxmin” or “meanhourly.” These results may assist scientists and citizens to understand more fully observed agricultural, commercial, ecological, economic, and recreational trends in light of climate change considerations. Article in Journal/Newspaper Arctic Climate change Global warming Directory of Open Access Journals: DOAJ Articles Arctic Frontiers in Environmental Science 11
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic global climate change
global warming
ERA5 land skin temperature
regional climate anomalies
seasonal temperature change
Environmental sciences
GE1-350
spellingShingle global climate change
global warming
ERA5 land skin temperature
regional climate anomalies
seasonal temperature change
Environmental sciences
GE1-350
Md Adilur Rahim
Robert V. Rohli
Rubayet Bin Mostafiz
Nazla Bushra
Carol J. Friedland
Historical global and regional spatiotemporal patterns in daily temperature
topic_facet global climate change
global warming
ERA5 land skin temperature
regional climate anomalies
seasonal temperature change
Environmental sciences
GE1-350
description The abrupt increase in surface air temperature over the last few decades has received abundant scholarly and popular attention. However, less attention has focused on the specific nature of the warming spatially and seasonally, using high-resolution reanalysis output based on historical temperature observations. This research uses the European Centre for Medium-range Weather Forecasts (ECMWF) Reanalysis Version 5 (ERA5) output to identify spatiotemporal features of daily mean surface air temperature, defined both as the mean of the maximum and minimum temperatures over the calendar day (“meanmaxmin”) and as the mean of the 24 hourly observations per day (“meanhourly”), across the terrestrial Earth. Results suggest temporal warming throughout the year, with several “hot spots” of significantly increasing temperature, including in the Arctic transition seasons, Northern Hemisphere mid-latitudes in July, Eurasia in spring, Europe and the lower latitudes in summer, and tropical autumn. Cooling is also observed, but generally at rates more likely to be statistically insignificant than warming rates. These trends are nearly identical regardless of whether calculated as “meanmaxmin” or “meanhourly.” These results may assist scientists and citizens to understand more fully observed agricultural, commercial, ecological, economic, and recreational trends in light of climate change considerations.
format Article in Journal/Newspaper
author Md Adilur Rahim
Robert V. Rohli
Rubayet Bin Mostafiz
Nazla Bushra
Carol J. Friedland
author_facet Md Adilur Rahim
Robert V. Rohli
Rubayet Bin Mostafiz
Nazla Bushra
Carol J. Friedland
author_sort Md Adilur Rahim
title Historical global and regional spatiotemporal patterns in daily temperature
title_short Historical global and regional spatiotemporal patterns in daily temperature
title_full Historical global and regional spatiotemporal patterns in daily temperature
title_fullStr Historical global and regional spatiotemporal patterns in daily temperature
title_full_unstemmed Historical global and regional spatiotemporal patterns in daily temperature
title_sort historical global and regional spatiotemporal patterns in daily temperature
publisher Frontiers Media S.A.
publishDate 2024
url https://doi.org/10.3389/fenvs.2023.1294456
https://doaj.org/article/31f648cf77344c649583911b808d2ee2
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Global warming
genre_facet Arctic
Climate change
Global warming
op_source Frontiers in Environmental Science, Vol 11 (2024)
op_relation https://www.frontiersin.org/articles/10.3389/fenvs.2023.1294456/full
https://doaj.org/toc/2296-665X
2296-665X
doi:10.3389/fenvs.2023.1294456
https://doaj.org/article/31f648cf77344c649583911b808d2ee2
op_doi https://doi.org/10.3389/fenvs.2023.1294456
container_title Frontiers in Environmental Science
container_volume 11
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