A Kalman Filter-based Framework for Assimilating Remote Sensing Observations into a Surface Mass Balance Model
Saved in:
| Main Authors: | Oskar Herrmann, Alexander R. Groos, Ilaria Tabone, Guillaume Jouvet, Johannes J. Fürst |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
|
| Series: | Annals of Glaciology |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0260305525100207/type/journal_article |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-Person Fall Detection Using Data Assimilation Method With Kalman Filter
by: Jinmo Yang, et al.
Published: (2025-01-01) -
Application of Ensemble Kalman Filter With Covariance Localization in Data Assimilation of Radiation Belt Electrons
by: Yuan Lei, et al.
Published: (2025-06-01) -
An ensemble Kalman filter with rescaling disaggregation for assimilating terrestrial water storage into hydrological models
by: Leire Retegui-Schiettekatte, et al.
Published: (2025-08-01) -
Real-Time Transient Data Assimilation in Pipe Networks Using an Extended Kalman filter
by: Jiawei Ye, et al. -
Ensemble Kalman Filter Data Assimilation into the Surface Flux Transport Model to Infer Surface Flows: An Observing System Simulation Experiment
by: Soumyaranjan Dash, et al.
Published: (2024-01-01)