Role of the RegCM4 Regional Climate Model in Investigating the Influence of the Initialized Soil Moisture on the Soil Temperature Profile of Egypt

Anwar, SA; Srivastava, A

Role of the RegCM4 Regional Climate Model in Investigating the Influence of the Initialized Soil Moisture on the Soil Temperature Profile of Egypt

Anwar, SA Srivastava, A

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Publisher:: IOS Press BV
Publication Type:: Journal Article
Citation:: Advances in Transdisciplinary Engineering, 2024, 62, pp. 1377-1390
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Anwar, SA
dc.contributor.author	Srivastava, A https://orcid.org/0000-0002-3963-265X
dc.date.accessioned	2025-06-11T20:12:15Z
dc.date.available	2025-06-11T20:12:15Z
dc.date.issued	2024-01-01
dc.identifier.citation	Advances in Transdisciplinary Engineering, 2024, 62, pp. 1377-1390
dc.identifier.issn	2352-7528
dc.identifier.issn	2352-7528
dc.identifier.uri	http://hdl.handle.net/10453/187696
dc.description.abstract	In this study, the sensitivity of the soil temperature (ST) profile of Egypt to different initial soil moisture conditions was investigated using the RegCM4 regional climate model. The RegCM4 was downscaled with the ERA-Interim reanalysis and 25 km grid spacing and it was configured with version 4.5 of the community land model (CLM45). The initial conditions of the soil moisture were defined as ESACCI satellite product (ESA) and Century reanalysis product (CEN). Also, the ST profile was defined as shallow (10 cm), medium (40 cm), and deep (100 cm) depth. Additionally, the added value of the linear scaling (LS) was examined considering the depth 100 cm as an example. The results showed that the ST was sensitive to the initial soil moisture condition. The CEN demonstrated lower ST bias than the one observed in the ESA, particularly for the depth of 100 cm (by 0.5 to 5 C), followed by the 40 cm depth (by 0.5 to 3.5 C), and finally the 10 cm depth (by 0.5 to 1.5 C). Additionally, the LS showed its potential skills in reducing the ST bias in the evaluation/validation periods. Such point was confirmed in simulating the ST climatological annual cycle in different locations (representing different climate zones of Egypt). Quantitatively, the mean bias and standard deviation ratio of the CEN are lower than those of the ESA total locations. In conclusion, our study emphasizes the importance of initializing the RegCM4 with the CEN and applying the LS method for correcting its output to ensure a reliable simulation of the ST profile of Egypt.
dc.language	en
dc.publisher	IOS Press BV
dc.relation.ispartof	Advances in Transdisciplinary Engineering
dc.relation.isbasedon	10.3233/ATDE241139
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Role of the RegCM4 Regional Climate Model in Investigating the Influence of the Initialized Soil Moisture on the Soil Temperature Profile of Egypt
dc.type	Journal Article
utslib.citation.volume	62
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Science
pubs.organisational-group	University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc/4.0/
dc.date.updated	2025-06-11T20:12:13Z
pubs.publication-status	Published
pubs.volume	62

Abstract:

In this study, the sensitivity of the soil temperature (ST) profile of Egypt to different initial soil moisture conditions was investigated using the RegCM4 regional climate model. The RegCM4 was downscaled with the ERA-Interim reanalysis and 25 km grid spacing and it was configured with version 4.5 of the community land model (CLM45). The initial conditions of the soil moisture were defined as ESACCI satellite product (ESA) and Century reanalysis product (CEN). Also, the ST profile was defined as shallow (10 cm), medium (40 cm), and deep (100 cm) depth. Additionally, the added value of the linear scaling (LS) was examined considering the depth 100 cm as an example. The results showed that the ST was sensitive to the initial soil moisture condition. The CEN demonstrated lower ST bias than the one observed in the ESA, particularly for the depth of 100 cm (by 0.5 to 5 C), followed by the 40 cm depth (by 0.5 to 3.5 C), and finally the 10 cm depth (by 0.5 to 1.5 C). Additionally, the LS showed its potential skills in reducing the ST bias in the evaluation/validation periods. Such point was confirmed in simulating the ST climatological annual cycle in different locations (representing different climate zones of Egypt). Quantitatively, the mean bias and standard deviation ratio of the CEN are lower than those of the ESA total locations. In conclusion, our study emphasizes the importance of initializing the RegCM4 with the CEN and applying the LS method for correcting its output to ensure a reliable simulation of the ST profile of Egypt.

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http://hdl.handle.net/10453/187696