Rainfall Prediction with AMSR–E Soil Moisture Products Using SM2RAIN and Nonlinear Autoregressive Networks with Exogenous Input (NARX) for Poorly Gauged Basins: Application to the Karkheh River Basin, Iran

Rainfall Prediction with AMSR–E Soil Moisture Products Using SM2RAIN and Nonlinear Autoregressive Networks with Exogenous Input (NARX) for Poorly Gauged Basins: Application to the Karkheh River Basin, Iran

Accurate estimates of daily rainfall are essential for understanding and modeling the physical processes involved in the interaction between the land surface and the atmosphere. In this study, daily satellite soil moisture observations from the Advanced Microwave Scanning Radiometer–Earth...

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Bibliographic Details
Main Authors:	Majid Fereidoon, Manfred Koch
Format:	Article
Language:	English
Published:	MDPI AG 2018-07-01
Series:	Water
Subjects:	soil moisture nonlinear autoregressive network with exogenous inputs (NARX) neural networks Advanced Microwave Scanning Radiometer—Earth Observing System (AMSR–E) SM2RAIN Karkheh River Basin
Online Access:	http://www.mdpi.com/2073-4441/10/7/964

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