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HESS | Articles | Volume 22, issue 7
Hydrol. Earth Syst. Sci., 22, 3983–3992, 2018
https://doi.org/10.5194/hess-22-3983-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 3983–3992, 2018
https://doi.org/10.5194/hess-22-3983-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Technical note 23 Jul 2018

Technical note | 23 Jul 2018

Technical note: Assessment of observation quality for data assimilation in flood models

Joanne A. Waller et al.
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Andreadis, K. M., Clark, E. A., Lettenmaier, D. P., and Alsdorf, D. E.: Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster-based hydrodynamics model, Geophys. Res. Lett., 34, L10403, https://doi.org/10.1029/2007GL029721, 2007. a
Bates, P. and Roo, A. D.: A simple raster-based model for flood inundation simulation, J. Hydrol., 236, 54–77, https://doi.org/10.1016/S0022-1694(00)00278-X, 2000. a
Bormann, N., Bonavita, M., Dragani, R., Eresmaa, R., Matricardi, M., and McNally, A.: Enhancing the impact of IASI observations through an updated observation-error covariance matrix, Q. J. Roy. Meteorol. Soc., 142, 1767–1780, https://doi.org/10.1002/qj.2774, 2016. a
Campbell, W. F., Satterfield, E. A., Ruston, B., and Baker, N. L.: Accounting for Correlated Observation Error in a Dual-Formulation 4D Variational Data Assimilation System, Mon. Weather Rev., 145, 1019–1032, https://doi.org/10.1175/MWR-D-16-0240.1, 2017. a
Cordoba, M., Dance, S., Kelly, G., Nichols, N., and Waller, J.: Diagnosing Atmospheric Motion Vector observation errors for an operational high resolution data assimilation system, Q. J. Roy. Meteorol. Soc., 143, 333–341, https://doi.org/10.1002/qj.2925, 2017. a
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