Spatial and temporal characteristics of Refrence evapotranspiration using CRU gridded datasets and prediction of its changes during future periods in Khorasan Razavi

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SHirmohammadi Zahra; KOUHI MANSOURE; MOHAMMADIAN AZADEH; HABIBI NOKHANDAN MAJID; Mirzaee Mohammad Javad; Mododi Mohammad NAser

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Journal: JOURNAL OF CLIMATE RESEARCH Year:2018 | Volume:9 | Issue:33-34 Page(s): 89-109

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Title

Spatial and temporal characteristics of Refrence evapotranspiration using CRU gridded datasets and prediction of its changes during future periods in Khorasan Razavi

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Keywords

Climate ChangeQ1

EToQ1

CRU gridded datasetQ1

Climate ModelQ2

Abstract

Introduction Evapotranspiration is significantly affected by global climatic changes as an essential component of both climate and hydrological cycles. Comprehensive analyses of the spatiotemporal changes of ETo enhance the understanding of hydrological processes and improve water resource management. The main objective of this study are to investigate and predict the temporal trend and spatial distributions of the reference evapotranspiration (ET0) during 1961-2014, 2021-2050 and 2051-2080 over Razavi Khorasan Province using observed grided dataset named CRU and four GCMs outputs. Data and methods 2. 1. study area Razavi Khorasan Province is located in northeastern Iran. This province is located within the longitude and latitude of 56° 19” to 61° 16” E and 33° 52” to 37° 42” N. The climate of this area can be characterized as arid and semiarid with a long term annual precipitation of about 207. 5 mm and a long term annual maximum and minimum temperture of 18. 3° C and 9. 3° C, respectivily. 2. 2. data Monthly maximum and minimum temperature data were collected from updated highr esolution (0. 5° × 0. 5° ) gridded dataset of CRU initially released in 1999 by New et al., total 42 grid points in Razavi Khorasan province. After assessing the accuracy of the CRU data using 11 synoptic stations over this province, the monthly ETo values were calculated using Hargrives-Samani method to study the spatiotemporal variations in this variable. The impact of Climate Change on future spatiotemporal ETo, evaluated using four coupled atmosphere-ocean general circulation models (AOGCMs) under RCP8. 5 scenarios. The parametric t-test and nonparametric Mann-Kendall test methods were used to analyze the temporal characteristics of annual ET during 1961-2005, 2021-2050 and 2051-2080. Results and Conclusions The results were as follows: (i) generally, ETo increased from north to south across the province (ii) from 1961 to 2014, annual ET exhibited an increasing continuous trend across the area under study (iii) ETo also displayed a significantly increasing temporal trend during two future periods across Razavi Khorasan Province. (v). The difference between mean annual ETo values of two periods was statistically significant in all grid points covering this province. The results showed that these increases may lead to the increase in crop water requirements and aggravate the water shortage in this area in view of the increase in ET0 in response to ongoing Climate Change. ETo play an important role in the agricultural and water resources management, and its accurate prediction will signify better planning and management of the water, agriculture and other sectors, hence, using outputs of GCMs can facilitate the sectors by reliably predicting the future Climate Change impact on ETo in this province.

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APA: Copy

SHirmohammadi, Zahra, KOUHI, MANSOURE, MOHAMMADIAN, AZADEH, HABIBI NOKHANDAN, MAJID, Mirzaee, Mohammad Javad, & Mododi, Mohammad NAser. (2018). Spatial and temporal characteristics of Refrence evapotranspiration using CRU gridded datasets and prediction of its changes during future periods in Khorasan Razavi. JOURNAL OF CLIMATE RESEARCH, 9(33-34 ), 89-109. SID. https://sid.ir/paper/213109/en

Vancouver: Copy

SHirmohammadi Zahra, KOUHI MANSOURE, MOHAMMADIAN AZADEH, HABIBI NOKHANDAN MAJID, Mirzaee Mohammad Javad, Mododi Mohammad NAser. Spatial and temporal characteristics of Refrence evapotranspiration using CRU gridded datasets and prediction of its changes during future periods in Khorasan Razavi. JOURNAL OF CLIMATE RESEARCH[Internet]. 2018;9(33-34 ):89-109. Available from: https://sid.ir/paper/213109/en

IEEE: Copy

Zahra SHirmohammadi, MANSOURE KOUHI, AZADEH MOHAMMADIAN, MAJID HABIBI NOKHANDAN, Mohammad Javad Mirzaee, and Mohammad NAser Mododi, “Spatial and temporal characteristics of Refrence evapotranspiration using CRU gridded datasets and prediction of its changes during future periods in Khorasan Razavi,” JOURNAL OF CLIMATE RESEARCH, vol. 9, no. 33-34 , pp. 89–109, 2018, [Online]. Available: https://sid.ir/paper/213109/en

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