Long-term daily-averaged discharge time series in a megadelta

Published: 20 December 2021| Version 1 | DOI: 10.17632/xnzvfcyy68.1
Contributors:
Doan Van Binh,
,
, Vahid Nourani,
,
,

Description

Discharge data in many megadeltas suffer from discontinuous measurement. Therefore, techniques to reconstruct the missing values are needed. Machine learning models were used to reconstruct the missing discharge data for this dataset using multistation considering upstream-downstream relations.

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Institutions

Vietnamese German University

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Education Research

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