Výsledky vyhledávání - "Afshin Shayeghi"

Akademický článek

Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran

Autor: Akbar Rahmati Ziveh, Aydin Bakhtar, Afshin Shayeghi, Zahra Kalantari, Alireza Massah Bavani, Navid Ghajarnia

Publikováno v: Journal of Hydrology: Regional Studies, Vol 44, Iss , Pp 101269- (2022)

Study region: Karkheh and Karun basins (29°−35°N, 46°−52°E) are two large river basins (area 51,000 and 67,000 km2, respectively) with complex topography in southwest Iran. Study focus: Access to spatio-temporally consistent precipitation dat

Externí odkaz: https://doaj.org/article/7b38c33bf7f2493d993f7458a2642bb4

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Spatio-Temporal Evaluation of GPM-IMERGV6.0 Final Run Precipitation Product in Capturing Extreme Precipitation Events across Iran

Autor: Saemian, Aydin Bakhtar, Akbar Rahmati, Afshin Shayeghi, Javad Teymoori, Navid Ghajarnia, Peyman

Publikováno v: Water; Volume 14; Issue 10; Pages: 1650

Extreme precipitation events such as floods and droughts have occurred with higher frequency over the recent decades as a result of the climate change and anthropogenic activities. To understand and mitigate such events, it is crucial to investigate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::c2653911d759d8390ec19ddbef5fc36a

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Spatio-temporal performance evaluation of 14 global precipitation estimation products across river basins in southwest Iran

Autor: Alireza Massah Bavani, Aydin Bakhtar, Navid Ghajarnia, Afshin Shayeghi, Zahra Kalantari, Akbar Rahmati

Access to spatio-temporally consistent precipitation data is a key prerequisite for hydrological studies, especially in data-scarce regions. Different global precipitation products offer an alterna...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30a900e50b5cc2bf02d5a985091d039c
https://doi.org/10.1002/essoar.10507895.1

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Reliability of reanalysis and remotely sensed precipitation products for hydrological simulation over the Sefidrood River Basin, Iran

Autor: Afshin Shayeghi, Luca Brocca, Asghar Azizian

Publikováno v: Hydrological sciences journal (2020). doi:10.1080/02626667.2019.1691217
info:cnr-pdr/source/autori:Afshin Shayeghi, Asghar Azizian, Luca Brocca/titolo:Reliability of reanalysis and remotely sensed precipitation products for hydrological simulation over the Sefidrood River Basin, Iran/doi:10.1080%2F02626667.2019.1691217/rivista:Hydrological sciences journal/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume

Hydrological models require different inputs for the simulation of processes, among which precipitation is essential. For hydrological simulation, four different precipitation products - Asian Precipitation Highly Resolved Observational Data Integrat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8eb12d84228dd6aec85fa1e8aef6d8ef
https://www.tandfonline.com/doi/full/10.1080/02626667.2019.1691217

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