Showing 1 - 17 results of 17 for search 'R.L. Wilby', query time: 0.05s Refine Results
  1. 1
    A comparison of artificial neural networks used for river forecasting

    A comparison of artificial neural networks used for river forecasting by C. W. Dawson, C. W. Dawson, R. L. Wilby, R. L. Wilby, R. L. Wilby

    Published 1999-01-01
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  2. 2
    Rainfall and temperature estimation for a data sparse region

    Rainfall and temperature estimation for a data sparse region by R. L. Wilby, D. Yu

    Published 2013-10-01
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  3. 3
    Climate variability and implications for keeping rivers cool in England

    Climate variability and implications for keeping rivers cool in England by R.L. Wilby, M.F. Johnson

    Published 2020-01-01
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  4. 4
    Past and future climate change in the context of memorable seasonal extremes

    Past and future climate change in the context of memorable seasonal extremes by T. Matthews, D. Mullan, R.L. Wilby, C. Broderick, C. Murphy

    Published 2016-01-01
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  5. 5
    Attribution of detected changes in streamflow using multiple working hypotheses

    Attribution of detected changes in streamflow using multiple working hypotheses by S. Harrigan, C. Murphy, J. Hall, R. L. Wilby, J. Sweeney

    Published 2014-05-01
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  6. 6
    Super Storm Desmond: a process-based assessment

    Super Storm Desmond: a process-based assessment by T Matthews, C Murphy, G McCarthy, C Broderick, R L Wilby

    Published 2018-01-01
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  7. 7
    A systematic assessment of drought termination in the United Kingdom

    A systematic assessment of drought termination in the United Kingdom by S. Parry, S. Parry, R. L. Wilby, C. Prudhomme, C. Prudhomme, P. J. Wood

    Published 2016-10-01
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  8. 8
    Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China

    Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China by C. W. Dawson, C. W. Dawson, C. Harpham, R. L. Wilby, Y. Chen

    Published 2002-01-01
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  9. 9
    An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions

    An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions by T. Kelder, T. I. Marjoribanks, L. J. Slater, C. Prudhomme, R. L. Wilby, J. Wagemann, N. Dunstone

    Published 2022-05-01
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  10. 10
    Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic?

    Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic? by T Kelder, N Wanders, K van der Wiel, T I Marjoribanks, L J Slater, R l Wilby, C Prudhomme

    Published 2022-01-01
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  11. 11
    Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management

    Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management by L. J. Slater, B. Anderson, M. Buechel, S. Dadson, S. Dadson, S. Han, S. Harrigan, T. Kelder, K. Kowal, T. Lees, T. Matthews, C. Murphy, R. L. Wilby

    Published 2021-07-01
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  12. 12
    Flow pathways and nutrient transport mechanisms drive hydrochemical sensitivity to climate change across catchments with different geology and topography

    Flow pathways and nutrient transport mechanisms drive hydrochemical sensitivity to climate change across catchments with different geology and topography by J. Crossman, M. N. Futter, P. G. Whitehead, E. Stainsby, H. M. Baulch, L. Jin, S. K. Oni, R. L. Wilby, P. J. Dillon

    Published 2014-12-01
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  13. 13
    Concurrent wet and dry hydrological extremes at the global scale

    Concurrent wet and dry hydrological extremes at the global scale by P. De Luca, P. De Luca, P. De Luca, P. De Luca, G. Messori, G. Messori, R. L. Wilby, M. Mazzoleni, M. Mazzoleni, G. Di Baldassarre, G. Di Baldassarre

    Published 2020-03-01
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  14. 14
    Conditioning ensemble streamflow prediction with the North Atlantic Oscillation improves skill at longer lead times

    Conditioning ensemble streamflow prediction with the North Atlantic Oscillation improves skill at longer lead times by S. Donegan, C. Murphy, S. Harrigan, C. Broderick, D. Foran Quinn, S. Golian, J. Knight, T. Matthews, C. Prudhomme, C. Prudhomme, C. Prudhomme, A. A. Scaife, A. A. Scaife, N. Stringer, R. L. Wilby

    Published 2021-07-01
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  15. 15
    Monitoring and moderating extreme indoor temperatures in low-income urban communities

    Monitoring and moderating extreme indoor temperatures in low-income urban communities by R L Wilby, R Kasei, K V Gough, E F Amankwaa, M Abarike, N J Anderson, S N A Codjoe, P Griffiths, C Kaba, K Abdullah, S Kayaga, T Matthews, P Mensah, C Murphy, P W K Yankson

    Published 2021-01-01
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  16. 16
    Hybrid forecasting: blending climate predictions with AI models

    Hybrid forecasting: blending climate predictions with AI models by L. J. Slater, L. Arnal, M.-A. Boucher, A. Y.-Y. Chang, A. Y.-Y. Chang, S. Moulds, C. Murphy, G. Nearing, G. Shalev, C. Shen, L. Speight, G. Villarini, R. L. Wilby, A. Wood, M. Zappa

    Published 2023-05-01
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  17. 17
    A 305-year continuous monthly rainfall series for the island of Ireland (1711–2016)

    A 305-year continuous monthly rainfall series for the island of Ireland (1711–2016) by C. Murphy, C. Broderick, T. P. Burt, M. Curley, C. Duffy, J. Hall, S. Harrigan, T. K. R. Matthews, N. Macdonald, G. McCarthy, M. P. McCarthy, D. Mullan, S. Noone, T. J. Osborn, C. Ryan, J. Sweeney, P. W. Thorne, S. Walsh, R. L. Wilby

    Published 2018-03-01
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