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

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

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.

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Doan Binh
Format: Dataset
Sprache:eng
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
DOI:10.17632/xnzvfcyy68