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Information Journal Paper

Title

Uncertainty Analysis of Actual Evapotranspiration Estimations Using Satellite Data and Climate Databases (Case Study: Karkheh Basin)

Pages

  1177-1193

Abstract

Evapotranspiration is an important component of water balance and a key element in water resources management, especially in arid and semi-arid regions such as Iran. The purpose of this study is to investigate the Uncertainty of actual Evapotranspiration (ETa) estimates derived from a remote sensing-based model, i. e. Priestley– Taylor Model (PT-JPT), and two global climate datasets namely GLEAM and ERA-Interim in Karkheh Basin southwest of Iran during the 2013-2017 period. The three cornered hat (TCH) method was used to analyze the Uncertainty for each spatial cell (0. 25× 0. 25) in the basin. The results of Uncertainty analysis showed that ETERA-Interim, ETGLEAM, and ETPT-JPT data have the lowest relative Uncertainty in 38%, 12. 6% and 49. 4% of cells, respectively. The highest percentage of cells with lowest Uncertainty in Seimare, South Karkhe and Gamasiab sub-basins was correspond to ETPT-JPT model (54. 4%, 72. 3%, and 50%, respectively). In Gharehsoo and Kashkan sub-basins the ETERA-Interim estimations were found as the method with least Uncertainty, (55. 5% and 53. 4%, respectively). The highest number of cells with lowest relative Uncertainty belongs to ETERA-Interim. Considering the lowest Uncertainty, variation of actual Evapotranspiration with elevation in Karkhe basin showed that the two databases and PT-JPT model perform well at 1400 to 1800 m above sea level. ETPT-JPT model did a better job in warm dry climates. ETERA-Interim and ETGLEAM data estimations were selected as the best methods in semi-humid temperate and hyper-humid-cold climates, respectively. In cells with farm-garden and forest Land Use, ETGLEAM have the lowest Uncertainty. Similarly, in rangelands, both ETPT-JPT and ETERA-Interim databases, and for drylands, ETERA-Interim data can be recommended. Further feasibility studies in other climates are required for more scrutiny.

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    APA: Copy

    GHAREHKHANI, ABUZAR, GHAHREMAN, NOZAR, & IRANNEJAD, PARVIZ. (2020). Uncertainty Analysis of Actual Evapotranspiration Estimations Using Satellite Data and Climate Databases (Case Study: Karkheh Basin). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 51(5 ), 1177-1193. SID. https://sid.ir/paper/364096/en

    Vancouver: Copy

    GHAREHKHANI ABUZAR, GHAHREMAN NOZAR, IRANNEJAD PARVIZ. Uncertainty Analysis of Actual Evapotranspiration Estimations Using Satellite Data and Climate Databases (Case Study: Karkheh Basin). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2020;51(5 ):1177-1193. Available from: https://sid.ir/paper/364096/en

    IEEE: Copy

    ABUZAR GHAREHKHANI, NOZAR GHAHREMAN, and PARVIZ IRANNEJAD, “Uncertainty Analysis of Actual Evapotranspiration Estimations Using Satellite Data and Climate Databases (Case Study: Karkheh Basin),” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 51, no. 5 , pp. 1177–1193, 2020, [Online]. Available: https://sid.ir/paper/364096/en

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