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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Birjand-Research Group of Drought and Climate Change</PublisherName>
				<JournalTitle>Journal of Drought and Climate change Research</JournalTitle>
				<Issn>3092-6076</Issn>
				<Volume></Volume>
				<Issue>Articles in Press</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>30</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Regional Calibration of the Hargreaves-Samani Method and Potential Evapotranspiration projection in Iran under Climate Change Scenarios</ArticleTitle>
<VernacularTitle>Regional Calibration of the Hargreaves-Samani Method and Potential Evapotranspiration projection in Iran under Climate Change Scenarios</VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">4071</ELocationID>
			
<ELocationID EIdType="doi">10.22077/jdcr.2026.10664.1197</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Mohammadlou</LastName>
<Affiliation>PH.d student in watershed management engineering</Affiliation>
<Identifier Source="ORCID">0000-0001-5146-5391</Identifier>

</Author>
<Author>
					<FirstName>Abdolreza</FirstName>
					<LastName>Bahremand</LastName>
<Affiliation>Department of Watershed Management and Desertification Control, Gorgan University of Agricultural Sciences and Natural Resources</Affiliation>

</Author>
<Author>
					<FirstName>Shervan</FirstName>
					<LastName>Gharari</LastName>
<Affiliation>Department of Civil Engineering, Schulich School of Engineering, University of Calgary,
Calgary, Alberta, Canada</Affiliation>

</Author>
<Author>
					<FirstName>Amir</FirstName>
					<LastName>Sadoddin</LastName>
<Affiliation>Department of Watershed Management and Desertification Control, Gorgan University of Agricultural Sciences and Natural Resources</Affiliation>

</Author>
<Author>
					<FirstName>Iman</FirstName>
					<LastName>Babaian</LastName>
<Affiliation>Climate Research Center, Research Institute for Meteorology and Atmospheric Sciences, Mashhad, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>16</Day>
				</PubDate>
			</History>
		<Abstract>Potential evapotranspiration (ET₀) is a fundamental component of the water cycle and is highly sensitive to climate change. In this study, the Hargreaves-Samani (HS) method was calibrated regionally for Iran for the first time, using observational data from 152 synoptic stations during the baseline period 1995–2014 against the FAO56 Penman-Monteith reference method. Four calibration approaches (daily and monthly scales, including linear and second-order fits) were evaluated on the aggregated data of six climatic-altitudinal zones. The monthly linear method showed the highest performance, with a mean R² of 0.89 and a mean RMSE of 0.77 mm day⁻¹, and was selected as the most suitable option. Consequently, correction coefficients were derived for the six zones and applied to estimate future ET₀ (2030–2090) using outputs from three CMIP6 models (ACCESS-CM2, IPSL-CM6A-LR, and CNRM-CM6-1) under three emission scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5). Results indicate an increasing trend of ET₀ across all regions of Iran, with average increases during the far future period (2071–2090) ranging from 58% to 129% relative to the baseline. The highest sensitivity is observed in high-latitude low-altitude zones and dry central areas, while mountainous regions show the smallest increases. The largest absolute increases occur in summer months (up to 15.5 mm month⁻¹), whereas the largest relative increases occur in winter (up to 182%). These findings provide a serious warning for future water stress in the agricultural sector and underscore the urgent need to revise cropping patterns—particularly in central arid regions during summer—and to adopt climate-adaptive water management strategies.</Abstract>
			<OtherAbstract Language="FA">Potential evapotranspiration (ET₀) is a fundamental component of the water cycle and is highly sensitive to climate change. In this study, the Hargreaves-Samani (HS) method was calibrated regionally for Iran for the first time, using observational data from 152 synoptic stations during the baseline period 1995–2014 against the FAO56 Penman-Monteith reference method. Four calibration approaches (daily and monthly scales, including linear and second-order fits) were evaluated on the aggregated data of six climatic-altitudinal zones. The monthly linear method showed the highest performance, with a mean R² of 0.89 and a mean RMSE of 0.77 mm day⁻¹, and was selected as the most suitable option. Consequently, correction coefficients were derived for the six zones and applied to estimate future ET₀ (2030–2090) using outputs from three CMIP6 models (ACCESS-CM2, IPSL-CM6A-LR, and CNRM-CM6-1) under three emission scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5). Results indicate an increasing trend of ET₀ across all regions of Iran, with average increases during the far future period (2071–2090) ranging from 58% to 129% relative to the baseline. The highest sensitivity is observed in high-latitude low-altitude zones and dry central areas, while mountainous regions show the smallest increases. The largest absolute increases occur in summer months (up to 15.5 mm month⁻¹), whereas the largest relative increases occur in winter (up to 182%). These findings provide a serious warning for future water stress in the agricultural sector and underscore the urgent need to revise cropping patterns—particularly in central arid regions during summer—and to adopt climate-adaptive water management strategies.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Future droughts</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">SSPs</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Penman-Monteith method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Regional calibration</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">CMIP6 Climate Models</Param>
			</Object>
		</ObjectList>
</Article>
</ArticleSet>
