State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter
- DOI
- 10.5194/hess-21-4927-2017
- Published
- 2017-09-29
- Container
- Hydrology and Earth System Sciences
- Publisher
- Copernicus GmbH
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5194/hess-21-4927-2017,
title = {State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter},
author = {Hongjuan Zhang and Harrie-Jan Hendricks Franssen and Xujun Han and Jasper A. Vrugt and Harry Vereecken},
year = {2017},
journal = {Hydrology and Earth System Sciences},
doi = {10.5194/hess-21-4927-2017},
url = {https://doi.org/10.5194/hess-21-4927-2017}
}RIS
TY - JOUR TI - State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter AU - Hongjuan Zhang AU - Harrie-Jan Hendricks Franssen AU - Xujun Han AU - Jasper A. Vrugt AU - Harry Vereecken PY - 2017 JO - Hydrology and Earth System Sciences DO - 10.5194/hess-21-4927-2017 UR - https://doi.org/10.5194/hess-21-4927-2017 ER -
APA
Zhang, H., Franssen, H. H., Han, X., Vrugt, J. A., & Vereecken, H. (2017). State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter. Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-21-4927-2017
Source records
- crossref · retrieved 2026-09-25T20:06:19.352Z