Independent testing for assessing the calibration of the Hargreaves–Samani equation: New heuristic alternatives for Iran

Shiri, Jalal; Sadraddini, Ali Ashraf; Nazemi, Amir Hossein; Martí, Pau; Fard, Ahmad Fakheri; Kisi, Özgür; Landeras, Gorka

doi:10.1016/j.compag.2015.07.010

Cited by 53 publications

(22 citation statements)

References 33 publications

(32 reference statements)

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“…During the recent years, many researchers tried to calibrate the Hargreaves model (Gavilan et al, 2006;Tabari and Talaee, 2011;Berti et al, 2014;Shiri et al, 2014Shiri et al, , 2015Marti et al, 2015;Cobaner et al, 2016;Xu et al, 2016;Feng et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

The study of potential evapotranspiration in future periods due to climate change in west of Iran

Rajabi

Babakhani

2018

IJCCSM

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Findings -In all five stations, in all three scenarios and in all three periods, ETP will increase. The highest ETP increase will occur in the A1B scenario and then in the A1 scenario. The lowest increase will occur in the B1 scenario. In the 2020 decade, the highest ETP increase in three scenarios will occur in Khorramabad and then Hamedan. Kermanshah, Sanandaj and Ilam stations come at third to fifth place, respectively, with a close increase in amount. In the 2050 decade, ETP increase percentages in all scenarios are close to each other in all the five stations. In the 2080 decade, ETP increase percentages in all scenarios will be close to each other in four stations, namely, Kermanshah, Sanandaj, Khorramabad and Hamedan, and Ilam station will have a higher increase compared with the other four stations.Originality/value -Meanwhile, the highest ETP increase will occur in hot months of the year, which are significant with regard to irrigation and water resources.

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Section: Introductionmentioning

confidence: 99%

The study of potential evapotranspiration in future periods due to climate change in west of Iran

Rajabi

Babakhani

2018

IJCCSM

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“…According to Allen et al (1998) Shiri et al, 2015). The values of were determined using the calibration data, then the values were used for the testing and validation periods.…”

Section: Et O Models Calibrationmentioning

confidence: 99%

Evaluation of FAO56-PM, empirical, semi-empirical and gene expression programming approaches for estimating daily reference evapotranspiration in hyper-arid regions of Iran

Shiri

2017

Agricultural Water Management

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“…However, several studies [62,63] have shown that the Hargreaves-Samani model overestimates reference evapotranspiration (ET 0 ) values in humid regions and underestimates them in dry regions. For this reason, other studies have even proposed new parametric expressions to calculate the adjusted Hargreaves coefficient [64][65][66].…”

Section: Assessment Of Potential Evapotranspirationmentioning

confidence: 99%

Improvement of Hydroclimatic Projections over Southeast Spain by Applying a Novel RCM Ensemble Approach

Gimenez

Galiano

Giraldo-Osorio

2018

Water

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Abstract:Climate model outputs can be used as climate forcing for hydrological models to study the impact of climate change on the water cycle. This usually propagates cumulative uncertainties, transferring the errors from the climate models to the hydrological models. Then, methodologies are needed to evaluate the impact of climate change at basin scale by reducing the uncertainties involved in the modeling chain. The paper aims to assess the impact of climate change on the runoff, considering a novel approach to build a Regional Climate Model (RCM) ensemble as climate forcing for a parsimonious spatially distributed hydrological model. A semiarid basin of southeast of Spain was selected for the study. The RCM ensembles were built based on seasonal and annual variability of rainfall and temperature. If the runoff projections for 2021-2050 are compared to the 1961-1990 observed period, a significant decrease in runoff equal to −20% (p-value t-test 0.05) was projected. However, by changing the observed period to 1971-2000, a despicable change (2.5%) is identified. This fact demonstrates that trends based on short records are very sensitive to the beginning and end dates, due to the natural variability. Special attention should be paid to the selection of the period for impact studies.

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Independent testing for assessing the calibration of the Hargreaves–Samani equation: New heuristic alternatives for Iran

Cited by 53 publications

References 33 publications

The study of potential evapotranspiration in future periods due to climate change in west of Iran

The study of potential evapotranspiration in future periods due to climate change in west of Iran

Evaluation of FAO56-PM, empirical, semi-empirical and gene expression programming approaches for estimating daily reference evapotranspiration in hyper-arid regions of Iran

Improvement of Hydroclimatic Projections over Southeast Spain by Applying a Novel RCM Ensemble Approach

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