干旱区生态环境知识资源中心(Arid): Spatio-Temporal Assessment of Global Gridded Evapotranspiration Datasets across Iran

Arid

DOI	10.3390/rs13091816
	Spatio-Temporal Assessment of Global Gridded Evapotranspiration Datasets across Iran
	Moshir Panahi, Davood; Sadeghi Tabas, Sadegh; Kalantari, Zahra; Ferreira, Carla Sofia Santos; Zahabiyoun, Bagher
通讯作者	Kalantari, Z (corresponding author), Stockholm Univ, Dept Phys Geog, SE-10691 Stockholm, Sweden. ; Kalantari, Z (corresponding author), Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden. ; Kalantari, Z (corresponding author), Navarino Environm Observ, Messinia 24001, Greece. ; Kalantari, Z (corresponding author), KTH Royal Inst Technol, Dept Sustainable Dev Environm Sci & Engn, SE-10044 Stockholm, Sweden.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:9
英文摘要	Estimating evapotranspiration (ET), the main water output flux within basins, is an important step in assessing hydrological changes and water availability. However, direct measurements of ET are challenging, especially for large regions. Global products now provide gridded estimates of ET at different temporal resolution, each with its own method of estimating ET based on various data sources. This study investigates the differences between ERA5, GLEAM, and GLDAS datasets of estimated ET at gridded points across Iran, and their accuracy in comparison with reference ET. The spatial and temporal discrepancies between datasets are identified, as well as their co-variation with forcing variables. The ET reference values used to check the accuracy of the datasets were based on the water balance (ETwb) from Iran's main basins, and co-variation of estimated errors for each product with forcing drivers of ET. The results indicate that ETERA5 provides higher base average values and lower maximum annual average values than ETGLEAM. Temporal changes at the annual scale are similar for GLEAM, ERA5, and GLDAS datasets, but differences at seasonal and monthly time scales are identified. Some discrepancies are also recorded in ET spatial distribution, but generally, all datasets provide similarities, e.g., for humid regions basins. ETERA5 has a higher correlation with available energy than available water, while ETGLEAM has higher correlation with available water, and ETGLDAS does not correlate with none of these drivers. Based on the comparison of ETERA5 and ETGLEAM with ETwb, both have similar errors in spatial distribution, while ETGLDAS provided over and under estimations in northern and southern basins, respectively, compared to them (ETERA5 and ETGLEAM). All three datasets provide better ET estimates (values closer to ETWB) in hyper-arid and arid regions from central to eastern Iran than in the humid areas. Thus, the GLEAM, ERA5, and GLDAS datasets are more suitable for estimating ET for arid rather than humid basins in Iran.
英文关键词	evapotranspiration water balance GLEAM ERA5 GLDAS Iran
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000650749100001
WOS关键词	TERRESTRIAL EVAPOTRANSPIRATION ; RIVER-BASIN ; WATER-USE ; EVAPORATION ; SATELLITE ; MODEL ; ASSIMILATION ; PRODUCTS ; GEOSTATIONARY ; GROUNDWATER
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351519
作者单位	[Moshir Panahi, Davood; Sadeghi Tabas, Sadegh; Zahabiyoun, Bagher] Iran Univ Sci & Technol, Sch Civil Engn, Tehran 1684613114, Iran; [Kalantari, Zahra; Ferreira, Carla Sofia Santos] Stockholm Univ, Dept Phys Geog, SE-10691 Stockholm, Sweden; [Kalantari, Zahra; Ferreira, Carla Sofia Santos] Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden; [Kalantari, Zahra; Ferreira, Carla Sofia Santos] Navarino Environm Observ, Messinia 24001, Greece; [Kalantari, Zahra] KTH Royal Inst Technol, Dept Sustainable Dev Environm Sci & Engn, SE-10044 Stockholm, Sweden
推荐引用方式 GB/T 7714	Moshir Panahi, Davood,Sadeghi Tabas, Sadegh,Kalantari, Zahra,et al. Spatio-Temporal Assessment of Global Gridded Evapotranspiration Datasets across Iran[J],2021,13(9).
APA	Moshir Panahi, Davood,Sadeghi Tabas, Sadegh,Kalantari, Zahra,Ferreira, Carla Sofia Santos,&Zahabiyoun, Bagher.(2021).Spatio-Temporal Assessment of Global Gridded Evapotranspiration Datasets across Iran.REMOTE SENSING,13(9).
MLA	Moshir Panahi, Davood,et al."Spatio-Temporal Assessment of Global Gridded Evapotranspiration Datasets across Iran".REMOTE SENSING 13.9(2021).