Investigation of satellite precipitation product driven rainfall-runoff model using deep learning approaches in two different catchments of India

Investigation of satellite precipitation product driven rainfall-runoff model using deep learning approaches in two different catchments of India

Rainfall–runoff models are valuable tools for flood forecasting, management of water resources, and drought warning. With the advancement in space technology, a plethora of satellite precipitation products (SPPs) are available publicly. However, the application of the satellite data for the data-dri...

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Bibliographic Details
Main Authors: Pavan Kumar Yeditha, Maheswaran Rathinasamy, Sai Sumanth Neelamsetty, Biswa Bhattacharya, Ankit Agarwal
Format: Article
Language:English
Published: IWA Publishing 2022-01-01
Series:Journal of Hydroinformatics
Subjects:
artificial neural networks (ann)
deep learning
extreme learning machines (elm)
long short time memory (lstm)
rainfall-runoff modelling
satellite rainfall products
Online Access:http://jh.iwaponline.com/content/24/1/16

Internet

http://jh.iwaponline.com/content/24/1/16

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