Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic
Latest advances and developments in data assimilation for operational hydrologic forecasting and water resources management
Editor(s): Y. Liu, A. Weerts, and F. Pappenberger More information Overview paper

Download citations of all papers

18 Jan 2013
Application of data-based mechanistic modelling for flood forecasting at multiple locations in the Eden catchment in the National Flood Forecasting System (England and Wales)
D. Leedal, A. H. Weerts, P. J. Smith, and K. J. Beven
Hydrol. Earth Syst. Sci., 17, 177–185, https://doi.org/10.5194/hess-17-177-2013,https://doi.org/10.5194/hess-17-177-2013, 2013
24 Sep 2012
State updating of a distributed hydrological model with Ensemble Kalman Filtering: effects of updating frequency and observation network density on forecast accuracy
O. Rakovec, A. H. Weerts, P. Hazenberg, P. J. J. F. Torfs, and R. Uijlenhoet
Hydrol. Earth Syst. Sci., 16, 3435–3449, https://doi.org/10.5194/hess-16-3435-2012,https://doi.org/10.5194/hess-16-3435-2012, 2012
16 Nov 2012
Correcting the radar rainfall forcing of a hydrological model with data assimilation: application to flood forecasting in the Lez catchment in Southern France
E. Harader, V. Borrell-Estupina, S. Ricci, M. Coustau, O. Thual, A. Piacentini, and C. Bouvier
Hydrol. Earth Syst. Sci., 16, 4247–4264, https://doi.org/10.5194/hess-16-4247-2012,https://doi.org/10.5194/hess-16-4247-2012, 2012
29 Oct 2012
Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities
Y. Liu, A. H. Weerts, M. Clark, H.-J. Hendricks Franssen, S. Kumar, H. Moradkhani, D.-J. Seo, D. Schwanenberg, P. Smith, A. I. J. M. van Dijk, N. van Velzen, M. He, H. Lee, S. J. Noh, O. Rakovec, and P. Restrepo
Hydrol. Earth Syst. Sci., 16, 3863–3887, https://doi.org/10.5194/hess-16-3863-2012,https://doi.org/10.5194/hess-16-3863-2012, 2012
24 Sep 2012
Generating spatial precipitation ensembles: impact of temporal correlation structure
O. Rakovec, P. Hazenberg, P. J. J. F. Torfs, A. H. Weerts, and R. Uijlenhoet
Hydrol. Earth Syst. Sci., 16, 3419–3434, https://doi.org/10.5194/hess-16-3419-2012,https://doi.org/10.5194/hess-16-3419-2012, 2012
08 Jun 2012
Space-based passive microwave soil moisture retrievals and the correction for a dynamic open water fraction
B. T. Gouweleeuw, A. I. J. M. van Dijk, J. P. Guerschman, P. Dyce, and M. Owe
Hydrol. Earth Syst. Sci., 16, 1635–1645, https://doi.org/10.5194/hess-16-1635-2012,https://doi.org/10.5194/hess-16-1635-2012, 2012
16 Aug 2012
Adaptive correction of deterministic models to produce probabilistic forecasts
P. J. Smith, K. J. Beven, A. H. Weerts, and D. Leedal
Hydrol. Earth Syst. Sci., 16, 2783–2799, https://doi.org/10.5194/hess-16-2783-2012,https://doi.org/10.5194/hess-16-2783-2012, 2012
23 Jul 2012
Variational assimilation of streamflow into operational distributed hydrologic models: effect of spatiotemporal scale of adjustment
H. Lee, D.-J. Seo, Y. Liu, V. Koren, P. McKee, and R. Corby
Hydrol. Earth Syst. Sci., 16, 2233–2251, https://doi.org/10.5194/hess-16-2233-2012,https://doi.org/10.5194/hess-16-2233-2012, 2012
10 May 2012
Spatial horizontal correlation characteristics in the land data assimilation of soil moisture
X. Han, X. Li, H. J. Hendricks Franssen, H. Vereecken, and C. Montzka
Hydrol. Earth Syst. Sci., 16, 1349–1363, https://doi.org/10.5194/hess-16-1349-2012,https://doi.org/10.5194/hess-16-1349-2012, 2012
12 Jan 2012
Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint
B. Li, D. Toll, X. Zhan, and B. Cosgrove
Hydrol. Earth Syst. Sci., 16, 105–119, https://doi.org/10.5194/hess-16-105-2012,https://doi.org/10.5194/hess-16-105-2012, 2012
14 Mar 2012
An integrated uncertainty and ensemble-based data assimilation approach for improved operational streamflow predictions
M. He, T. S. Hogue, S. A. Margulis, and K. J. Franz
Hydrol. Earth Syst. Sci., 16, 815–831, https://doi.org/10.5194/hess-16-815-2012,https://doi.org/10.5194/hess-16-815-2012, 2012
16 Nov 2011
Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation
C. M. DeChant and H. Moradkhani
Hydrol. Earth Syst. Sci., 15, 3399–3410, https://doi.org/10.5194/hess-15-3399-2011,https://doi.org/10.5194/hess-15-3399-2011, 2011
20 Dec 2011
Estimating the benefits of single value and probability forecasting for flood warning
J. S. Verkade and M. G. F. Werner
Hydrol. Earth Syst. Sci., 15, 3751–3765, https://doi.org/10.5194/hess-15-3751-2011,https://doi.org/10.5194/hess-15-3751-2011, 2011
08 Feb 2012
The importance of parameter resampling for soil moisture data assimilation into hydrologic models using the particle filter
D. A. Plaza, R. De Keyser, G. J. M. De Lannoy, L. Giustarini, P. Matgen, and V. R. N. Pauwels
Hydrol. Earth Syst. Sci., 16, 375–390, https://doi.org/10.5194/hess-16-375-2012,https://doi.org/10.5194/hess-16-375-2012, 2012
25 Oct 2011
Applying sequential Monte Carlo methods into a distributed hydrologic model: lagged particle filtering approach with regularization
S. J. Noh, Y. Tachikawa, M. Shiiba, and S. Kim
Hydrol. Earth Syst. Sci., 15, 3237–3251, https://doi.org/10.5194/hess-15-3237-2011,https://doi.org/10.5194/hess-15-3237-2011, 2011
21 Jul 2011
Assimilating SAR-derived water level data into a hydraulic model: a case study
L. Giustarini, P. Matgen, R. Hostache, M. Montanari, D. Plaza, V. R. N. Pauwels, G. J. M. De Lannoy, R. De Keyser, L. Pfister, L. Hoffmann, and H. H. G. Savenije
Hydrol. Earth Syst. Sci., 15, 2349–2365, https://doi.org/10.5194/hess-15-2349-2011,https://doi.org/10.5194/hess-15-2349-2011, 2011
03 Aug 2011
Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: identical twin experiments
S. Nie, J. Zhu, and Y. Luo
Hydrol. Earth Syst. Sci., 15, 2437–2457, https://doi.org/10.5194/hess-15-2437-2011,https://doi.org/10.5194/hess-15-2437-2011, 2011
CC BY 4.0
Publications Copernicus