High-Resolution Climate Projections for a Densely Populated Mediterranean Region

The present study projected future climate change for the densely populated Central North region of Egypt (CNE) for two representative concentration pathways (RCPs) and two futures (near future: 2020–2059, and far future: 2060–2099), estimated by a credible subset of five global climate models (GCMs...

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Main Authors: Mohamed Salem Nashwan, Shamsuddin Shahid, Eun-Sung Chung
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sustainability
Subjects:
ARC
Online Access:https://www.mdpi.com/2071-1050/12/9/3684
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spelling doaj-17ff24df5efc44ceaf04f13fcd893f352020-11-25T02:38:39ZengMDPI AGSustainability2071-10502020-05-01123684368410.3390/su12093684High-Resolution Climate Projections for a Densely Populated Mediterranean RegionMohamed Salem Nashwan0Shamsuddin Shahid1Eun-Sung Chung2Department of Construction and Building Engineering, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT), 2033 Elhorria, Heliopolis, Cairo, 2033, EgyptSchool of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Skudai 81310, Johor, MalaysiaFaculty of Civil Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, KoreaThe present study projected future climate change for the densely populated Central North region of Egypt (CNE) for two representative concentration pathways (RCPs) and two futures (near future: 2020–2059, and far future: 2060–2099), estimated by a credible subset of five global climate models (GCMs). Different bias correction models have been applied to correct the bias in the five interpolated GCMs’ outputs onto a high-resolution horizontal grid. The 0.05° CNE datasets of maximum and minimum temperatures (Tmx, and Tmn, respectively) and the 0.1° African Rainfall Climatology (ARC2) datasets represented the historical climate. The evaluation of bias correction methodologies revealed the better performance of linear and variance scaling for correcting the rainfall and temperature GCMs’ outputs, respectively. They were used to transfer the correction factor to the projections. The five statistically bias-corrected climate projections presented the uncertainty range in the future change in the climate of CNE. The rainfall is expected to increase in the near future but drastically decrease in the far future. The Tmx and Tmn are projected to increase in both future periods reaching nearly a maximum of 5.50 and 8.50 °C for Tmx and Tmn, respectively. These findings highlighted the severe consequence of climate change on the socio-economic activities in the CNE aiming for better sustainable development.https://www.mdpi.com/2071-1050/12/9/3684EgyptNile DeltaARCgeneral circulation modelCMIP5downscaling
collection DOAJ
language English
format Article
sources DOAJ
author Mohamed Salem Nashwan
Shamsuddin Shahid
Eun-Sung Chung
spellingShingle Mohamed Salem Nashwan
Shamsuddin Shahid
Eun-Sung Chung
High-Resolution Climate Projections for a Densely Populated Mediterranean Region
Sustainability
Egypt
Nile Delta
ARC
general circulation model
CMIP5
downscaling
author_facet Mohamed Salem Nashwan
Shamsuddin Shahid
Eun-Sung Chung
author_sort Mohamed Salem Nashwan
title High-Resolution Climate Projections for a Densely Populated Mediterranean Region
title_short High-Resolution Climate Projections for a Densely Populated Mediterranean Region
title_full High-Resolution Climate Projections for a Densely Populated Mediterranean Region
title_fullStr High-Resolution Climate Projections for a Densely Populated Mediterranean Region
title_full_unstemmed High-Resolution Climate Projections for a Densely Populated Mediterranean Region
title_sort high-resolution climate projections for a densely populated mediterranean region
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-05-01
description The present study projected future climate change for the densely populated Central North region of Egypt (CNE) for two representative concentration pathways (RCPs) and two futures (near future: 2020–2059, and far future: 2060–2099), estimated by a credible subset of five global climate models (GCMs). Different bias correction models have been applied to correct the bias in the five interpolated GCMs’ outputs onto a high-resolution horizontal grid. The 0.05° CNE datasets of maximum and minimum temperatures (Tmx, and Tmn, respectively) and the 0.1° African Rainfall Climatology (ARC2) datasets represented the historical climate. The evaluation of bias correction methodologies revealed the better performance of linear and variance scaling for correcting the rainfall and temperature GCMs’ outputs, respectively. They were used to transfer the correction factor to the projections. The five statistically bias-corrected climate projections presented the uncertainty range in the future change in the climate of CNE. The rainfall is expected to increase in the near future but drastically decrease in the far future. The Tmx and Tmn are projected to increase in both future periods reaching nearly a maximum of 5.50 and 8.50 °C for Tmx and Tmn, respectively. These findings highlighted the severe consequence of climate change on the socio-economic activities in the CNE aiming for better sustainable development.
topic Egypt
Nile Delta
ARC
general circulation model
CMIP5
downscaling
url https://www.mdpi.com/2071-1050/12/9/3684
work_keys_str_mv AT mohamedsalemnashwan highresolutionclimateprojectionsforadenselypopulatedmediterraneanregion
AT shamsuddinshahid highresolutionclimateprojectionsforadenselypopulatedmediterraneanregion
AT eunsungchung highresolutionclimateprojectionsforadenselypopulatedmediterraneanregion
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