Evaluating the effects of climate change on precipitation and temperature for Iran using RCP scenarios
Climate change has caused many changes in hydrologic processes and climatic conditions globally, while extreme events are likely to occur more frequently at a global scale with continued warming. Given the importance of general circulation models (GCMs) as an essential tool for climate studies at gl...
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IWA Publishing
2021
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oai:doaj.org-article:eca1a1b479c347eeb51cc7a69e925b982021-11-05T18:40:57ZEvaluating the effects of climate change on precipitation and temperature for Iran using RCP scenarios2040-22442408-935410.2166/wcc.2020.114https://doaj.org/article/eca1a1b479c347eeb51cc7a69e925b982021-02-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/1/166https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Climate change has caused many changes in hydrologic processes and climatic conditions globally, while extreme events are likely to occur more frequently at a global scale with continued warming. Given the importance of general circulation models (GCMs) as an essential tool for climate studies at global/regional scales, together with the wide range of GCMs available, selecting appropriate models is of great importance. In this study, six synoptic weather stations were selected as representative of different climatic zones over Iran. Utilizing monthly data for 20 years (1981–2000), the outputs of 25 GCMs for surface air temperature (SAT) and precipitation were evaluated for the historical period. The root-mean-square error and skill score were chosen to evaluate the performance of GCMs in capturing observed seasonal climate. Finally, the outputs of selected GCMs for the three Representative Concentration Pathways emission scenarios (RCPs), namely RCP2.6, RCP4.5, and RCP8.5, were downscaled using the change factor method for each station for the period 2046–2065. Results indicate that SAT in all months is likely to increase for each region, while for precipitation, large uncertainties emerge, despite the selection of climate models that best capture the observed seasonal cycle. These results highlight the importance of selecting a representative ensemble of GCMs for assessing future hydro-climatic changes for Iran.Shahab DoulabianSaeed GolianAmirhossein Shadmehri ToosiConor MurphyIWA Publishingarticleclimate changegcmsiranprecipitationrcpssurface air temperatureEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 1, Pp 166-184 (2021) |
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climate change gcms iran precipitation rcps surface air temperature Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 |
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climate change gcms iran precipitation rcps surface air temperature Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Shahab Doulabian Saeed Golian Amirhossein Shadmehri Toosi Conor Murphy Evaluating the effects of climate change on precipitation and temperature for Iran using RCP scenarios |
description |
Climate change has caused many changes in hydrologic processes and climatic conditions globally, while extreme events are likely to occur more frequently at a global scale with continued warming. Given the importance of general circulation models (GCMs) as an essential tool for climate studies at global/regional scales, together with the wide range of GCMs available, selecting appropriate models is of great importance. In this study, six synoptic weather stations were selected as representative of different climatic zones over Iran. Utilizing monthly data for 20 years (1981–2000), the outputs of 25 GCMs for surface air temperature (SAT) and precipitation were evaluated for the historical period. The root-mean-square error and skill score were chosen to evaluate the performance of GCMs in capturing observed seasonal climate. Finally, the outputs of selected GCMs for the three Representative Concentration Pathways emission scenarios (RCPs), namely RCP2.6, RCP4.5, and RCP8.5, were downscaled using the change factor method for each station for the period 2046–2065. Results indicate that SAT in all months is likely to increase for each region, while for precipitation, large uncertainties emerge, despite the selection of climate models that best capture the observed seasonal cycle. These results highlight the importance of selecting a representative ensemble of GCMs for assessing future hydro-climatic changes for Iran. |
format |
article |
author |
Shahab Doulabian Saeed Golian Amirhossein Shadmehri Toosi Conor Murphy |
author_facet |
Shahab Doulabian Saeed Golian Amirhossein Shadmehri Toosi Conor Murphy |
author_sort |
Shahab Doulabian |
title |
Evaluating the effects of climate change on precipitation and temperature for Iran using RCP scenarios |
title_short |
Evaluating the effects of climate change on precipitation and temperature for Iran using RCP scenarios |
title_full |
Evaluating the effects of climate change on precipitation and temperature for Iran using RCP scenarios |
title_fullStr |
Evaluating the effects of climate change on precipitation and temperature for Iran using RCP scenarios |
title_full_unstemmed |
Evaluating the effects of climate change on precipitation and temperature for Iran using RCP scenarios |
title_sort |
evaluating the effects of climate change on precipitation and temperature for iran using rcp scenarios |
publisher |
IWA Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/eca1a1b479c347eeb51cc7a69e925b98 |
work_keys_str_mv |
AT shahabdoulabian evaluatingtheeffectsofclimatechangeonprecipitationandtemperatureforiranusingrcpscenarios AT saeedgolian evaluatingtheeffectsofclimatechangeonprecipitationandtemperatureforiranusingrcpscenarios AT amirhosseinshadmehritoosi evaluatingtheeffectsofclimatechangeonprecipitationandtemperatureforiranusingrcpscenarios AT conormurphy evaluatingtheeffectsofclimatechangeonprecipitationandtemperatureforiranusingrcpscenarios |
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