The Application of PERSIANN Family Datasets for Hydrological Modeling

The Application of PERSIANN Family Datasets for Hydrological Modeling

This study investigates the application of precipitation estimation from remote sensing information using artificial neural networks (PERSIANN) for hydrological modeling over the Russian River catchment in California in the United States as a case study. We evaluate two new PERSIANN products includi...

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Bibliographic Details
Main Authors: Hossein Salehi, Mojtaba Sadeghi, Saeed Golian, Phu Nguyen, Conor Murphy, Soroosh Sorooshian
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
PERSIANN family
precipitation
VIC hydrologic model
VIC
SMAP
GLEAM
Online Access:https://www.mdpi.com/2072-4292/14/15/3675

Internet

https://www.mdpi.com/2072-4292/14/15/3675

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