Articles | Volume 18, issue 6
https://doi.org/10.5194/hess-18-2343-2014
https://doi.org/10.5194/hess-18-2343-2014
Research article
 | 
24 Jun 2014
Research article |  | 24 Jun 2014

The suitability of remotely sensed soil moisture for improving operational flood forecasting

N. Wanders, D. Karssenberg, A. de Roo, S. M. de Jong, and M. F. P. Bierkens

Related authors

Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions
Joren Janzing, Niko Wanders, Marit van Tiel, Barry van Jaarsveld, Dirk Nikolaus Karger, and Manuela Irene Brunner
EGUsphere, https://doi.org/10.5194/egusphere-2024-3072,https://doi.org/10.5194/egusphere-2024-3072, 2024
Short summary
Machine learning and global vegetation: random forests for downscaling and gap filling
Barry van Jaarsveld, Sandra M. Hauswirth, and Niko Wanders
Hydrol. Earth Syst. Sci., 28, 2357–2374, https://doi.org/10.5194/hess-28-2357-2024,https://doi.org/10.5194/hess-28-2357-2024, 2024
Short summary
Graphical representation of global water models
Hannes Müller Schmied, Simon Newland Gosling, Marlo Garnsworthy, Laura Müller, Camelia-Eliza Telteu, Atiq Kainan Ahmed, Lauren Seaby Andersen, Julien Boulange, Peter Burek, Jinfeng Chang, He Chen, Manolis Grillakis, Luca Guillaumot, Naota Hanasaki, Aristeidis Koutroulis, Rohini Kumar, Guoyong Leng, Junguo Liu, Xingcai Liu, Inga Menke, Vimal Mishra, Yadu Pokhrel, Oldrich Rakovec, Luis Samaniego, Yusuke Satoh, Harsh Lovekumar Shah, Mikhail Smilovic, Tobias Stacke, Edwin Sutanudjaja, Wim Thiery, Athanasios Tsilimigkras, Yoshihide Wada, Niko Wanders, and Tokuta Yokohata
EGUsphere, https://doi.org/10.5194/egusphere-2024-1303,https://doi.org/10.5194/egusphere-2024-1303, 2024
Short summary
A first attempt to model global hydrology at hyper-resolution
Barry van Jaarsveld, Niko Wanders, Edwin H. Sutanudjaja, Jannis Hoch, Bram Droppers, Joren Janzing, Rens L. P. H. van Beek, and Marc F. P. Bierkens
EGUsphere, https://doi.org/10.5194/egusphere-2024-1025,https://doi.org/10.5194/egusphere-2024-1025, 2024
Short summary
DynQual v1.0: a high-resolution global surface water quality model
Edward R. Jones, Marc F. P. Bierkens, Niko Wanders, Edwin H. Sutanudjaja, Ludovicus P. H. van Beek, and Michelle T. H. van Vliet
Geosci. Model Dev., 16, 4481–4500, https://doi.org/10.5194/gmd-16-4481-2023,https://doi.org/10.5194/gmd-16-4481-2023, 2023
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Remote Sensing and GIS
Sediment transport in South Asian rivers high enough to impact satellite gravimetry
Alexandra Klemme, Thorsten Warneke, Heinrich Bovensmann, Matthias Weigelt, Jürgen Müller, Tim Rixen, Justus Notholt, and Claus Lämmerzahl
Hydrol. Earth Syst. Sci., 28, 1527–1538, https://doi.org/10.5194/hess-28-1527-2024,https://doi.org/10.5194/hess-28-1527-2024, 2024
Short summary
On the timescale of drought indices for monitoring streamflow drought considering catchment hydrological regimes
Oscar M. Baez-Villanueva, Mauricio Zambrano-Bigiarini, Diego G. Miralles, Hylke E. Beck, Jonatan F. Siegmund, Camila Alvarez-Garreton, Koen Verbist, René Garreaud, Juan Pablo Boisier, and Mauricio Galleguillos
Hydrol. Earth Syst. Sci., 28, 1415–1439, https://doi.org/10.5194/hess-28-1415-2024,https://doi.org/10.5194/hess-28-1415-2024, 2024
Short summary
Pairing remote sensing and clustering in landscape hydrology for large-scale change identification: an application to the subarctic watershed of the George River (Nunavik, Canada)
Eliot Sicaud, Daniel Fortier, Jean-Pierre Dedieu, and Jan Franssen
Hydrol. Earth Syst. Sci., 28, 65–86, https://doi.org/10.5194/hess-28-65-2024,https://doi.org/10.5194/hess-28-65-2024, 2024
Short summary
Uncertainty assessment of satellite remote-sensing-based evapotranspiration estimates: a systematic review of methods and gaps
Bich Ngoc Tran, Johannes van der Kwast, Solomon Seyoum, Remko Uijlenhoet, Graham Jewitt, and Marloes Mul
Hydrol. Earth Syst. Sci., 27, 4505–4528, https://doi.org/10.5194/hess-27-4505-2023,https://doi.org/10.5194/hess-27-4505-2023, 2023
Short summary
Monitoring the extreme flood events in the Yangtze River basin based on GRACE and GRACE-FO satellite data
Jingkai Xie, Yue-Ping Xu, Hongjie Yu, Yan Huang, and Yuxue Guo
Hydrol. Earth Syst. Sci., 26, 5933–5954, https://doi.org/10.5194/hess-26-5933-2022,https://doi.org/10.5194/hess-26-5933-2022, 2022
Short summary

Cited articles

Alfieri, L., Burek, P., Dutra, E., Krzeminski, B., Muraro, D., Thielen, J., and Pappenberger, F.: GloFAS – global ensemble streamflow forecasting and flood early warning, Hydrol. Earth Syst. Sci., 17, 1161–1175, https://doi.org/10.5194/hess-17-1161-2013, 2013.
Aon Benfield: Impact Forecasting – June 2013, Global Catastrophe Recap report, http://www.claimsjournal.com/news/international/2013/07/12/232685.htm, retrieved on 7 October 2013.
Bartalis, Z., Kidd, R., and Scipal, K.: Development and implementation of a Discrete Global Grid System for soil moisture retrieval using the MetOp ASCAT scatterometer, in: 1st EPS/MetOp RAO Workshop, ESA SP-618, 15–17 May 2006, Frascati, Italy, 2006.
Bisselink, B., van Meijgaard, E., Dolman, A. J., and De Jeu, R. A. M.: Initializing a regional climate model with satellite-derived soil moisture, J. Geophys. Res., 116, D02121, https://doi.org/10.1029/2010JD014534, 2011.
Brier, G.: Verification of Forecasts Expressed in Terms of Probability, Mon. Weather Rev., 78, 1–3, 1950.