Search Results - "Winsemius, H. C"

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  1. 1

    A framework for global river flood risk assessments by Winsemius, H. C, Van Beek, L. P. H, Jongman, B, Ward, P. J, Bouwman, A

    Published in Hydrology and earth system sciences (21-05-2013)
    “…There is an increasing need for strategic global assessments of flood risks in current and future conditions. In this paper, we propose a framework for global…”
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  2. 2

    A framework to assess the realism of model structures using hydrological signatures by Euser, T, Winsemius, H. C, Hrachowitz, M, Fenicia, F, Uhlenbrook, S, Savenije, H. H. G

    Published in Hydrology and earth system sciences (21-05-2013)
    “…The use of flexible hydrological model structures for hypothesis testing requires an objective and diagnostic method to identify whether a rainfall-runoff…”
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  3. 3

    Automated global water mapping based on wide-swath orbital synthetic-aperture radar by Westerhoff, R. S, Kleuskens, M. P. H, Winsemius, H. C, Huizinga, H. J, Brakenridge, G. R, Bishop, C

    Published in Hydrology and earth system sciences (12-02-2013)
    “…This paper presents an automated technique which ingests orbital synthetic-aperture radar (SAR) imagery and outputs surface water maps in near real time and on…”
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  4. 4

    Seasonal predictions of agro-meteorological drought indicators for the Limpopo basin by Wetterhall, F, Winsemius, H C, Dutra, E, Werner, M, Pappenberger, E

    Published in Hydrology and earth system sciences (02-06-2015)
    “…The rainfall in southern Africa has a large inter-annual variability, which can cause rain-fed agriculture to fail. The staple crop maize is especially…”
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  5. 5

    Hydrological drought forecasting and skill assessment for the Limpopo River basin, southern Africa by Trambauer, P, Werner, M, Winsemius, H. C, Maskey, S, Dutra, E, Uhlenbrook, S

    Published in Hydrology and earth system sciences (13-04-2015)
    “…Ensemble hydrological predictions are normally obtained by forcing hydrological models with ensembles of atmospheric forecasts produced by numerical weather…”
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  6. 6

    The credibility challenge for global fluvial flood risk analysis by Trigg, M A, Birch, C E, Neal, J C, Bates, P D, Smith, A, Sampson, C C, Yamazaki, D, Hirabayashi, Y, Pappenberger, F, Dutra, E, Ward, P J, Winsemius, H C, Salamon, P, Dottori, F, Rudari, R, Kappes, M S, Simpson, A L, Hadzilacos, G, Fewtrell, T J

    Published in Environmental research letters (01-09-2016)
    “…Quantifying flood hazard is an essential component of resilience planning, emergency response, and mitigation, including insurance. Traditionally undertaken at…”
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  7. 7

    Estimation of predictive hydrological uncertainty using quantile regression: examples from the National Flood Forecasting System (England and Wales) by Weerts, A. H., Winsemius, H. C., Verkade, J. S.

    Published in Hydrology and earth system sciences (01-01-2011)
    “…In this paper, a technique is presented for assessing the predictive uncertainty of rainfall-runoff and hydraulic forecasts. The technique conditions forecast…”
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  8. 8

    The co-incidence of storm surges and extreme discharges within the Rhine-Meuse Delta by Klerk, W J, Winsemius, H C, van Verseveld, W J, Bakker, A M R, Diermanse, F L M

    Published in Environmental research letters (01-03-2015)
    “…The Netherlands is a low-lying coastal area and therefore threatened by both extreme river discharges from the Meuse and Rhine rivers and storm surges along…”
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  9. 9

    The potential value of seasonal forecasts in a changing climate in southern Africa by Winsemius, H. C, Dutra, E, Engelbrecht, F. A, Archer Van Garderen, E, Wetterhall, F, Pappenberger, F, Werner, M. G. F

    Published in Hydrology and earth system sciences (25-04-2014)
    “…Subsistence farming in southern Africa is vulnerable to extreme weather conditions. The yield of rain-fed agriculture depends largely on rainfall-related…”
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  10. 10

    Improved Understanding of the Link Between Catchment‐Scale Vegetation Accessible Storage and Satellite‐Derived Soil Water Index by Bouaziz, Laurène J. E., Steele‐Dunne, Susan C., Schellekens, Jaap, Weerts, Albrecht H., Stam, Jasper, Sprokkereef, Eric, Winsemius, Hessel H. C., Savenije, Hubert H. G., Hrachowitz, Markus

    Published in Water resources research (01-03-2020)
    “…The spatiotemporal dynamics of water volumes stored in the unsaturated root zone are a key control on the response of terrestrial hydrological systems. Robust,…”
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  11. 11

    Advancing catchment hydrology to deal with predictions under change by Ehret, U, Gupta, H. V, Sivapalan, M, Weijs, S. V, Schymanski, S. J, Blöschl, G, Gelfan, A. N, Harman, C, Kleidon, A, Bogaard, T. A, Wang, D, Wagener, T, Scherer, U, Zehe, E, Bierkens, M. F. P, Di Baldassarre, G, Parajka, J, van Beek, L. P. H, van Griensven, A, Westhoff, M. C, Winsemius, H. C

    Published in Hydrology and earth system sciences (19-02-2014)
    “…Throughout its historical development, hydrology as an earth science, but especially as a problem-centred engineering discipline has largely relied (quite…”
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    bias in GRACE estimates of continental water storage variations by Klees, R, Zapreeva, E.A, Winsemius, H.C, Savenije, H.H.G

    Published in Hydrology and earth system sciences (01-01-2007)
    “…The estimation of terrestrial water storage variations at river basin scale is among the best documented applications of the GRACE (Gravity and Climate…”
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  14. 14

    Assessment of Gravity Recovery and Climate Experiment (GRACE) temporal signature over the upper Zambezi by Winsemius, H.C, Savenije, H.H.G, Giesen, N.C. van de, Hurk, B.J.J.M. van den, Zapreeva, E.A, Klees, R

    Published in Water resources research (01-12-2006)
    “…1 The temporal signature of terrestrial storage changes inferred from the Gravity Recovery and Climate Experiment (GRACE) has been assessed by comparison with…”
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  15. 15

    Comparison of two model approaches in the Zambezi river basin with regard to model reliability and identifiability by Winsemius, H.C, Savenije, H.H.G, Gerrits, A.M.J, Zapreeva, E.A, Klees, R

    Published in Hydrology and earth system sciences (01-01-2006)
    “…Variations of water stocks in the upper Zambezi river basin have been determined by 2 different hydrological modelling approaches. The purpose was to provide…”
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  16. 16

    decade of Predictions in Ungauged Basins (PUB)—a review by Hrachowitz, M, Savenije, H.H.G, Blöschl, G, McDonnell, J.J, Sivapalan, M, Pomeroy, J.W, Arheimer, B, Blume, T, Clark, M.P, Ehret, U, Fenicia, F, Freer, J.E, Gelfan, A, Gupta, H.V, Hughes, D.A, Hut, R.W, Montanari, A, Pande, S, Tetzlaff, D, Troch, P.A, Uhlenbrook, S, Wagener, T, Winsemius, H.C, Woods, R.A, Zehe, E, Cudennec, C

    Published in Hydrological sciences journal (01-08-2013)
    “…The Prediction in Ungauged Basins (PUB) initiative of the International Association of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB…”
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  17. 17

    A Flood Risk Framework Capturing the Seasonality of and Dependence Between Rainfall and Sea Levels—An Application to Ho Chi Minh City, Vietnam by Couasnon, A., Scussolini, P., Tran, T. V. T., Eilander, D., Muis, S., Wang, H., Keesom, J., Dullaart, J., Xuan, Y., Nguyen, H. Q., Winsemius, H. C., Ward, P. J.

    Published in Water resources research (01-02-2022)
    “…State‐of‐the‐art flood hazard maps in coastal cities are often obtained from simulating coastal or pluvial events separately. This method does not account for…”
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    Rapid setup of hydrological and hydraulic models using OpenStreetMap and the SRTM derived digital elevation model by Schellekens, J., Brolsma, R.J., Dahm, R.J., Donchyts, G.V., Winsemius, H.C.

    “…A stepwise procedure has been developed in Python to extract information from OpenStreetMap (OSM) for hydrological and hydraulic models using existing and…”
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    Constraining model parameters on remotely sensed evaporation: justification for distribution in ungauged basins? by Winsemius, H. C., Savenije, H. H. G., Bastiaanssen, W. G. M.

    Published in Hydrology and earth system sciences (01-01-2008)
    “…In this study, land surface related parameter distributions of a conceptual semi-distributed hydrological model are constrained by employing time series of…”
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