Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 8
Articles | Volume 24, issue 8
https://doi.org/10.5194/hess-24-3881-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-3881-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 8
Research article
 | 
04 Aug 2020
Research article |  | 04 Aug 2020

Do surface lateral flows matter for data assimilation of soil moisture observations into hyperresolution land models?

Yohei Sawada

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Cited articles

Abbaszadeh, P., Moradkhani, H., and Daescu, D. N.: The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework, Water Resour. Res., 55, 2407–2431, https://doi.org/10.1029/2018WR023629, 2019. 
Ait-El-Fquih, B., El Gharamti, M., and Hoteit, I.: A Bayesian consistent dual ensemble Kalman filter for state-parameter estimation in subsurface hydrology, Hydrol. Earth Syst. Sc., 20, 3289–3307, https://doi.org/10.5194/hess-20-3289-2016, 2016. 
Arnesen, A. S., Silva, T. S. F., Hess, L. L., Novo, E. M. L. M., Rudorff, C. M., Chapman, B. D., and McDonald, K. C.: Monitoring flood extent in the lower Amazon River floodplain using ALOS/PALSAR ScanSAR images, Remote Sens. Environ., 130, 51–61, https://doi.org/10.1016/j.rse.2012.10.035, 2013. 
Amezcua, J., Ide, K., Bishop, C. H., and Kalnay, E.: Ensemble clustering in deterministic ensemble Kalman filters, Tellus A, 64, 1–12, https://doi.org/10.3402/tellusa.v64i0.18039, 2012. 
Anderson, J. L.: Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter, Physica D, 230, 99–111, https://doi.org/10.1016/j.physd.2006.02.011, 2007. 
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Short summary
Hydrologic data assimmilation is the area in which methods to integrate hydrological models and observations are investigated. Recently, hydrological or land models have been increasing their complexity, with very high spatial resolution. However, it is unclear that the current data assimilation method can directly be applied to those hyperresolution models, so that I investigated the applicability and limitation of the existing method by minimalistic numerical experiments.
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