Search Results - "Perraud, Jean‐Michel"

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  1. 1

    Bias in streamflow projections due to climate‐induced shifts in catchment response by Saft, Margarita, Peel, Murray C., Western, Andrew W., Perraud, JeanMichel, Zhang, Lu

    Published in Geophysical research letters (28-02-2016)
    “…Demand for quantitative assessments of likely climate change impact on runoff is increasing and conceptual rainfall‐runoff models are essential tools for this…”
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    Journal Article
  2. 2

    Application of a Macroscale Hydrologic Model to Estimate Streamflow across Southeast Australia by Zhao, Fangfang, Chiew, Francis H. S., Zhang, Lu, Vaze, Jai, Perraud, Jean-Michel, Li, Ming

    Published in Journal of hydrometeorology (01-08-2012)
    “…Reliable predictions of water availability and streamflow characteristics, and the impact of climate and land use change on water availability, are central to…”
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    Journal Article
  3. 3

    Propagating reliable estimates of hydrological forecast uncertainty to many lead times by Bennett, James C., Robertson, David E., Wang, Quan J., Li, Ming, Perraud, Jean-Michel

    Published in Journal of hydrology (Amsterdam) (01-12-2021)
    “…•A new error model to propagate uncertainty for ensemble streamflow forecasts.•Suitable for ephemeral and perennial rivers.•We compare it to an existing error…”
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    Journal Article
  4. 4

    Reliable hourly streamflow forecasting with emphasis on ephemeral rivers by Li, Ming, Robertson, David E., Wang, Quan J., Bennett, James C., Perraud, Jean-Michel

    Published in Journal of hydrology (Amsterdam) (01-07-2021)
    “…•A staged error model for hourly streamflow forecasting for ephemeral rivers.•Parameter estimation with zero flow assumptions.•A pragmatic approach to ease…”
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    Journal Article
  5. 5

    Estimating the Relative Uncertainties Sourced from GCMs and Hydrological Models in Modeling Climate Change Impact on Runoff by Teng, Jin, Vaze, Jai, Chiew, Francis H. S., Wang, Biao, Perraud, Jean-Michel

    Published in Journal of hydrometeorology (01-02-2012)
    “…This paper assesses the relative uncertainties from GCMs and from hydrological models in modeling climate change impact on runoff across southeast Australia…”
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    Journal Article
  6. 6

    Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia by Clark, Stephanie R, Lerat, Julien, Perraud, Jean-Michel, Fitch, Peter

    Published in Hydrology and earth system sciences (13-03-2024)
    “…A deep learning model designed for time series predictions, the long short-term memory (LSTM) architecture, is regularly producing reliable results in local…”
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    Journal Article
  7. 7

    Basin futures, a novel cloud-based system for preliminary river basin modelling and planning by Taylor, Peter, Rahman, Joel, O'Sullivan, Jackie, Podger, Geoff, Rosello, Caroline, Parashar, Amit, Sengupta, Ashmita, Perraud, Jean-Michel, Pollino, Carmel, Coombe, Mac

    “…Water resources are under growing pressure globally. Sustainable water management requires an understanding of how much water is available, where it is stored…”
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    Journal Article
  8. 8
  9. 9

    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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    Journal Article
  10. 10

    The strategic landscape investment model: a tool for mapping optimal environmental expenditure by Hajkowicz, Stefan, Perraud, Jean Michel, Dawes, Warrick, DeRose, Ronald

    “…This paper presents the strategic landscape investment model (SLIM). This tool can be used to map optimal landscape treatment patterns at regional scales…”
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    Journal Article
  11. 11

    Integration and application of the Rainfall Runoff Library by Kim, S, Vertessy, R A, Perraud, J-M, Sung, Y

    Published in Water Science & Technology (01-01-2005)
    “…The Rainfall Runoff Library (RRL) provides a convenient platform for implementing environment modelling components such as rainfall runoff models, calibration…”
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    Journal Article Conference Proceeding