Hasil Pencarian - N. Addor

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  1. 1
    The CAMELS data set: catchment attributes and meteorology for large-sample studies

    The CAMELS data set: catchment attributes and meteorology for large-sample studies oleh N. Addor, N. Addor, A. J. Newman, N. Mizukami, M. P. Clark

    Diterbitkan 2017-10-01
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  2. 2
    Risks and opportunities for a Swiss hydroelectricity company in a changing climate

    Risks and opportunities for a Swiss hydroelectricity company in a changing climate oleh K. Hakala, K. Hakala, N. Addor, N. Addor, T. Gobbe, J. Ruffieux, J. Seibert, J. Seibert

    Diterbitkan 2020-07-01
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  3. 3
    An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios

    An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios oleh N. Addor, S. Jaun, F. Fundel, M. Zappa

    Diterbitkan 2011-07-01
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  4. 4
    Projected changes in droughts and extreme droughts in Great Britain strongly influenced by the choice of drought index

    Projected changes in droughts and extreme droughts in Great Britain strongly influenced by the choice of drought index oleh N. Reyniers, T. J. Osborn, T. J. Osborn, N. Addor, G. Darch

    Diterbitkan 2023-03-01
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  5. 5
    Mapping (dis)agreement in hydrologic projections

    Mapping (dis)agreement in hydrologic projections oleh L. A. Melsen, N. Addor, N. Addor, N. Mizukami, A. J. Newman, P. J. J. F. Torfs, M. P. Clark, R. Uijlenhoet, A. J. Teuling

    Diterbitkan 2018-03-01
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  6. 6
    Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0

    Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0 oleh P. Uhe, P. Uhe, D. Mitchell, D. Mitchell, P. D. Bates, P. D. Bates, N. Addor, N. Addor, J. Neal, J. Neal, H. E. Beck

    Diterbitkan 2021-08-01
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  7. 7
    How is Baseflow Index (BFI) impacted by water resource management practices?

    How is Baseflow Index (BFI) impacted by water resource management practices? oleh J. P. Bloomfield, M. Gong, M. Gong, B. P. Marchant, G. Coxon, N. Addor

    Diterbitkan 2021-10-01
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  8. 8
    CAMELS-AUS: hydrometeorological time series and landscape attributes for 222 catchments in Australia

    CAMELS-AUS: hydrometeorological time series and landscape attributes for 222 catchments in Australia oleh K. J. A. Fowler, S. C. Acharya, N. Addor, C. Chou, C. Chou, M. C. Peel

    Diterbitkan 2021-08-01
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  9. 9
    Numerical daemons of hydrological models are summoned by extreme precipitation

    Numerical daemons of hydrological models are summoned by extreme precipitation oleh P. T. La Follette, P. T. La Follette, A. J. Teuling, N. Addor, M. Clark, K. Jansen, L. A. Melsen

    Diterbitkan 2021-10-01
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  10. 10
    CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland

    CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland oleh M. Höge, M. Kauzlaric, M. Kauzlaric, R. Siber, U. Schönenberger, P. Horton, P. Horton, J. Schwanbeck, M. G. Floriancic, D. Viviroli, S. Wilhelm, A. E. Sikorska-Senoner, A. E. Sikorska-Senoner, N. Addor, N. Addor, M. Brunner, M. Brunner, M. Brunner, S. Pool, M. Zappa, F. Fenicia

    Diterbitkan 2023-12-01
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  11. 11
    CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain

    CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain oleh G. Coxon, G. Coxon, N. Addor, N. Addor, J. P. Bloomfield, J. Freer, J. Freer, J. Freer, M. Fry, J. Hannaford, J. Hannaford, N. J. K. Howden, N. J. K. Howden, R. Lane, M. Lewis, E. L. Robinson, T. Wagener, T. Wagener, R. Woods, R. Woods

    Diterbitkan 2020-10-01
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  12. 12
    Identifying sensitivities in flood frequency analyses using a stochastic hydrologic modeling system

    Identifying sensitivities in flood frequency analyses using a stochastic hydrologic modeling system oleh A. J. Newman, A. G. Stone, M. Saharia, M. Saharia, K. D. Holman, N. Addor, M. P. Clark, M. P. Clark

    Diterbitkan 2021-10-01
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  13. 13
    CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil

    CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil oleh V. B. P. Chagas, P. L. B. Chaffe, N. Addor, F. M. Fan, A. S. Fleischmann, R. C. D. Paiva, V. A. Siqueira

    Diterbitkan 2020-09-01
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  14. 14
    The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset

    The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset oleh C. Alvarez-Garreton, C. Alvarez-Garreton, P. A. Mendoza, P. A. Mendoza, J. P. Boisier, J. P. Boisier, N. Addor, M. Galleguillos, M. Galleguillos, M. Zambrano-Bigiarini, M. Zambrano-Bigiarini, A. Lara, A. Lara, C. Puelma, C. Puelma, G. Cortes, R. Garreaud, R. Garreaud, J. McPhee, J. McPhee, A. Ayala, A. Ayala

    Diterbitkan 2018-11-01
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