Accounting for states and parameter uncertainty of the HBV-SASK hydrologic model using particle filtering as a sequential data assimilation technique

Benutzer: Gast

Dokumenttyp:: Bachelorarbeit
Autor(en):: Boris Liu
Titel:: Accounting for states and parameter uncertainty of the HBV-SASK hydrologic model using particle filtering as a sequential data assimilation technique
Aufgabensteller:: Bungartz, Hans-Joachim
Betreuer:: Ivana Jovanovic Buha
Jahr:: 2024
Quartal:: 1. Quartal
Jahr / Monat:: 2024-02
Monat:: Feb
Hochschule / Universität:: TECHNICAL UNIVERSITY OF MUNICH
Fakultät:: TUM School of Computation, Information and Technology
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