Search Results - "Vaze, J"

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  1. 1

    Flood inundation modelling: A review of methods, recent advances and uncertainty analysis by Teng, J., Jakeman, A.J., Vaze, J., Croke, B.F.W., Dutta, D., Kim, S.

    “…This paper reviews state-of-the-art empirical, hydrodynamic and simple conceptual models for determining flood inundation. It explores their advantages and…”
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    Journal Article
  2. 2

    Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments by Coron, L., Andréassian, V., Perrin, C., Lerat, J., Vaze, J., Bourqui, M., Hendrickx, F.

    Published in Water resources research (01-05-2012)
    “…This paper investigates the actual extrapolation capacity of three hydrological models in differing climate conditions. We propose a general testing framework,…”
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  3. 3

    Rapid Inundation Modelling in Large Floodplains Using LiDAR DEM by Teng, J., Vaze, J., Dutta, D., Marvanek, S.

    Published in Water resources management (01-06-2015)
    “…Rapid and accurate inundation modelling in large floodplains is critical for emergency response and environmental management. This paper describes the…”
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  4. 4

    Climate non-stationarity – Validity of calibrated rainfall–runoff models for use in climate change studies by Vaze, J., Post, D.A., Chiew, F.H.S., Perraud, J.-M., Viney, N.R., Teng, J.

    Published in Journal of hydrology (Amsterdam) (26-11-2010)
    “…This paper presents results from a modelling study carried out to investigate whether the calibrated parameter values for rainfall–runoff models based on…”
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  5. 5

    How does bias correction of regional climate model precipitation affect modelled runoff? by Teng, J, Potter, N. J, Chiew, F. H. S, Zhang, L, Wang, B, Vaze, J, Evans, J. P

    Published in Hydrology and earth system sciences (04-02-2015)
    “…Many studies bias correct daily precipitation from climate models to match the observed precipitation statistics, and the bias corrected data are then used for…”
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  6. 6

    Estimating climate change impact on runoff across southeast Australia: Method, results, and implications of the modeling method by Chiew, F.H.S, Teng, J, Vaze, J, Post, D.A, Perraud, J.M, Kirono, D.G.C, Viney, N.R

    Published in Water resources research (01-10-2009)
    “…This paper describes the modeling of climate change impact on runoff across southeast Australia using a conceptual rainfall‐runoff model SIMHYD and presents…”
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  7. 7

    Future climate and runoff projections across New South Wales, Australia: results and practical applications by Vaze, J., Teng, J.

    Published in Hydrological processes (01-01-2011)
    “…This paper describes the rainfall–runoff modelling for New South Wales (NSW) and Australian Capital Territory (ACT) under historical climate and the likely…”
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  8. 8

    A Comprehensive Assessment of Floodwater Depth Estimation Models in Semiarid Regions by Teng, J., Penton, D. J., Ticehurst, C., Sengupta, A., Freebairn, A., Marvanek, S., Vaze, J., Gibbs, M., Streeton, N., Karim, F., Morton, S.

    Published in Water resources research (01-11-2022)
    “…Simple models continue to be important for continental‐scale floodwater depth mapping due to the prohibitively expensive cost of calibrating and applying…”
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  9. 9

    Impact of climate change on water availability in the Macquarie-Castlereagh River Basin in Australia by Vaze, J., Davidson, A., Teng, J., Podger, G.

    Published in Hydrological processes (30-07-2011)
    “…The impact of future climate on runoff generation and the implications of these changes for management of water resources in a river basin are investigated by…”
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  10. 10

    Jointly Calibrating Hydrologic Model Parameters and State Adjustments by Kim, S. S. H., Marshall, L. A., Hughes, J. D., Sharma, A., Vaze, J.

    Published in Water resources research (01-08-2021)
    “…A method is presented to address model state uncertainty in hydrologic model simulation. This is achieved by introducing tuneable parameters that allow…”
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  11. 11

    Physics-informed deep learning framework to model intense precipitation events at super resolution by Teufel, B., Carmo, F., Sushama, L., Sun, L., Khaliq, M. N., Bélair, S., Shamseldin, A., Kumar, D. Nagesh, Vaze, J.

    Published in Geoscience letters (01-12-2023)
    “…Physical modeling of precipitation at fine (sub-kilometer) spatial scales is computationally very expensive. This study develops a highly efficient framework…”
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  12. 12

    Assessment of GCM simulations of annual and seasonal rainfall and daily rainfall distribution across south-east Australia by Vaze, J., Teng, J., Chiew, F. H. S.

    Published in Hydrological processes (30-04-2011)
    “…Global warming can potentially lead to changes in future rainfall and runoff and can significantly impact the regional hydrology and future availability of…”
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  13. 13

    Hydrology under change: an evaluation protocol to investigate how hydrological models deal with changing catchments by Thirel, G, Andréassian, V, Perrin, C, Audouy, J.-N, Berthet, L, Edwards, P, Folton, N, Furusho, C, Kuentz, A, Lerat, J, Lindström, G, Martin, E, Mathevet, T, Merz, R, Parajka, J, Ruelland, D, Vaze, J

    Published in Hydrological sciences journal (03-08-2015)
    “…Testing hydrological models under changing conditions is essential to evaluate their ability to cope with changing catchments and their suitability for impact…”
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  14. 14

    Enhancing the Capability of a Simple, Computationally Efficient, Conceptual Flood Inundation Model in Hydrologically Complex Terrain by Teng, J., Vaze, J., Kim, S., Dutta, D., Jakeman, A. J., Croke, B. F. W.

    Published in Water resources management (2019)
    “…The simple conceptual flood inundation model TVD (Teng-Vaze-Dutta) is more computationally efficient and cost-effective than traditional hydrodynamic models…”
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  15. 15

    Observed hydrologic non-stationarity in far south-eastern Australia: implications for modelling and prediction by Chiew, F. H. S., Potter, N. J., Vaze, J., Petheram, C., Zhang, L., Teng, J., Post, D. A.

    “…The term ‘hydrologic non-stationarity’ has been used to describe many things, ranging from different climate-runoff relationships evident in different periods…”
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  16. 16

    Estimation of Climate Change Impact on Mean Annual Runoff across Continental Australia Using Budyko and Fu Equations and Hydrological Models by Teng, J., Chiew, F. H. S., Vaze, J., Marvanek, S., Kirono, D. G. C.

    Published in Journal of hydrometeorology (01-06-2012)
    “…This paper presents the climate change impact onmean annual runoff across continental Australia estimated using the Budyko and Fu equations informed by…”
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  17. 17

    Influence of global climate model selection on runoff impact assessment by Chiew, F.H.S., Teng, J., Vaze, J., Kirono, D.G.C.

    Published in Journal of hydrology (Amsterdam) (15-12-2009)
    “…The future rainfall series used to drive hydrological models in many climate change impact on runoff studies are informed by rainfall simulated by global…”
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  18. 18

    Optimization of a multiple gauge, regulated river-system model. A system approach by Hughes, J. D., Kim, S. S. H., Dutta, D., Vaze, J.

    Published in Hydrological processes (15-06-2016)
    “…With increasing demands on limited water resources, regulation of larger river systems continues to increase and so too does the need for accurate water…”
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  19. 19

    Do internal flow measurements improve the calibration of rainfall-runoff models? by Lerat, J., Andréassian, V., Perrin, C., Vaze, J., Perraud, J. M., Ribstein, P., Loumagne, C.

    Published in Water resources research (01-02-2012)
    “…This paper compares four calibration strategies for a daily semidistributed rainfall‐runoff model. The model is applied over 187 French catchments where…”
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  20. 20

    Non-stationarity driven by long-term change in catchment storage: possibilities and implications by Hughes, J. D., Vaze, J.

    “…"Non-stationarity" with reference to hydrology is a term applied to many situations (Milly et al., 2008). While climate change non-stationarity is often…”
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