Search Results - N. Addor

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  1. 1

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

    Published in Hydrology and Earth System Sciences (2017-10-01)
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  2. 2

    Two sets of bias-corrected regional UK Climate Projections 2018 (UKCP18) of temperature, precipitation and potential evapotranspiration for Great Britain by N. Reyniers, Q. Zha, N. Addor, N. Addor, T. J. Osborn, T. J. Osborn, N. Forstenhäusler, Y. He

    Published in Earth System Science Data (2025-05-01)
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  3. 3

    GRDC-Caravan: extending Caravan with data from the Global Runoff Data Centre by C. Färber, H. Plessow, S. A. Mischel, F. Kratzert, N. Addor, N. Addor, G. Shalev, U. Looser

    Published in Earth System Science Data (2025-09-01)
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  4. 4

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

    Published in Hydrology and Earth System Sciences (2023-03-01)
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  5. 5

    CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking by O. Delaigue, G. M. Guimarães, P. Brigode, P. Brigode, P. Brigode, B. Génot, B. Génot, C. Perrin, J.-M. Soubeyroux, B. Janet, N. Addor, N. Addor, V. Andréassian

    Published in Earth System Science Data (2025-04-01)
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  6. 6

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

    Published in Earth System Science Data (2021-08-01)
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  7. 7

    CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland by 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

    Published in Earth System Science Data (2023-12-01)
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  8. 8

    CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain by 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

    Published in Earth System Science Data (2020-10-01)
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  9. 9

    BURGER: A Bottom‐Up Regionalization Approach for Global Sub‐Daily Intensity‐Duration‐Frequency Data by J. M. Hoch, I. Probyn, F. Marra, C. Lucas, J. Bates, A. Cooper, H. J. Fowler, S. Hatchard, E. Lewis, J. Savage, N. Addor, C. Sampson

    Published in Water Resources Research (2025-10-01)
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  10. 10

    The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset by 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

    Published in Hydrology and Earth System Sciences (2018-11-01)
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