Winter warming detection using temperature and precipitation anomalies in arid and semi-arid areas

Extreme winter warming can affect many aspects of environmental and human related activities. It can be disastrous, especially in arid regions. However, no specific research has been carried out on detecting winter warming in Iran. To address this research gap, this study was performed to investigat...

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Autores principales: Negar Siabi, Mohammad Mousavi Baygi, Seyed Majid Hasheminia, Mohammad Bannayan
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Lenguaje:EN
Publicado: IWA Publishing 2021
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Acceso en línea:https://doaj.org/article/31c78b76bc31467383c6217d1d9ccb99
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spelling oai:doaj.org-article:31c78b76bc31467383c6217d1d9ccb992021-11-05T19:02:07ZWinter warming detection using temperature and precipitation anomalies in arid and semi-arid areas2040-22442408-935410.2166/wcc.2021.271https://doaj.org/article/31c78b76bc31467383c6217d1d9ccb992021-08-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/5/1871https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Extreme winter warming can affect many aspects of environmental and human related activities. It can be disastrous, especially in arid regions. However, no specific research has been carried out on detecting winter warming in Iran. To address this research gap, this study was performed to investigate winter warming in the arid and semi-arid areas located in northeastern Iran. For this purpose, anomalies of minimum and maximum daily temperature, average daily temperature, mean daily temperature range and mean daily precipitation were studied on monthly, seasonal, annual and decadal scales. Along with this, the trend in the data was analyzed using the Mann–Kendall (MK) test. The results showed that since the 1990s there has been a significant increase in temperature positive anomalies at most stations. In addition, the precipitation anomaly mutations occurred later than temperature. In most cases the increase in winter anomalies was higher than the average annual anomalies. As an example, the maximum winter temperature anomaly increased from 0.38 °C in the 1990s to 2.07 °C in the 2000s at Mashhad station. Due to the simultaneous increase in anomalies at most stations, the detected winter warming is more likely to be the result of global warming rather than local synoptic climate. HIGHLIGHTS This is the 1st study solely dedicated to assessing the winter warming phenomenon on a local scale in Iran.; The present study confirmed that winter warming has occurred since the 1990s.; The warming time in every decade occurred earlier than the previous decade.; The precipitation's anomaly mutation occurred later than the temperature's.; The quantification of winter warming in this paper can provide valuable information for water management in arid areas.;Negar SiabiMohammad Mousavi BaygiSeyed Majid HasheminiaMohammad BannayanIWA Publishingarticleanomalyclimate changeiranprecipitationwinter warmingEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 5, Pp 1871-1890 (2021)
institution DOAJ
collection DOAJ
language EN
topic anomaly
climate change
iran
precipitation
winter warming
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
spellingShingle anomaly
climate change
iran
precipitation
winter warming
Environmental technology. Sanitary engineering
TD1-1066
Environmental sciences
GE1-350
Negar Siabi
Mohammad Mousavi Baygi
Seyed Majid Hasheminia
Mohammad Bannayan
Winter warming detection using temperature and precipitation anomalies in arid and semi-arid areas
description Extreme winter warming can affect many aspects of environmental and human related activities. It can be disastrous, especially in arid regions. However, no specific research has been carried out on detecting winter warming in Iran. To address this research gap, this study was performed to investigate winter warming in the arid and semi-arid areas located in northeastern Iran. For this purpose, anomalies of minimum and maximum daily temperature, average daily temperature, mean daily temperature range and mean daily precipitation were studied on monthly, seasonal, annual and decadal scales. Along with this, the trend in the data was analyzed using the Mann–Kendall (MK) test. The results showed that since the 1990s there has been a significant increase in temperature positive anomalies at most stations. In addition, the precipitation anomaly mutations occurred later than temperature. In most cases the increase in winter anomalies was higher than the average annual anomalies. As an example, the maximum winter temperature anomaly increased from 0.38 °C in the 1990s to 2.07 °C in the 2000s at Mashhad station. Due to the simultaneous increase in anomalies at most stations, the detected winter warming is more likely to be the result of global warming rather than local synoptic climate. HIGHLIGHTS This is the 1st study solely dedicated to assessing the winter warming phenomenon on a local scale in Iran.; The present study confirmed that winter warming has occurred since the 1990s.; The warming time in every decade occurred earlier than the previous decade.; The precipitation's anomaly mutation occurred later than the temperature's.; The quantification of winter warming in this paper can provide valuable information for water management in arid areas.;
format article
author Negar Siabi
Mohammad Mousavi Baygi
Seyed Majid Hasheminia
Mohammad Bannayan
author_facet Negar Siabi
Mohammad Mousavi Baygi
Seyed Majid Hasheminia
Mohammad Bannayan
author_sort Negar Siabi
title Winter warming detection using temperature and precipitation anomalies in arid and semi-arid areas
title_short Winter warming detection using temperature and precipitation anomalies in arid and semi-arid areas
title_full Winter warming detection using temperature and precipitation anomalies in arid and semi-arid areas
title_fullStr Winter warming detection using temperature and precipitation anomalies in arid and semi-arid areas
title_full_unstemmed Winter warming detection using temperature and precipitation anomalies in arid and semi-arid areas
title_sort winter warming detection using temperature and precipitation anomalies in arid and semi-arid areas
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/31c78b76bc31467383c6217d1d9ccb99
work_keys_str_mv AT negarsiabi winterwarmingdetectionusingtemperatureandprecipitationanomaliesinaridandsemiaridareas
AT mohammadmousavibaygi winterwarmingdetectionusingtemperatureandprecipitationanomaliesinaridandsemiaridareas
AT seyedmajidhasheminia winterwarmingdetectionusingtemperatureandprecipitationanomaliesinaridandsemiaridareas
AT mohammadbannayan winterwarmingdetectionusingtemperatureandprecipitationanomaliesinaridandsemiaridareas
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