CAMELS: Catchment Attributes and Meteorology for Large-sample Studies - Dataset Downloads

Before you obtain the complete CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) data set described in Newman et al. (2015) and Addor et al. (2017), please take a minute to read the Terms of Use.

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CAMELS Dataset

BY DOWNLOADING THE DATASET, YOU ARE AGREEING TO BE BOUND BY OUR TERMS OF USE. IF YOU DO NOT AGREE TO THESE TERMS, YOU ARE NOT AUTHORIZED TO DOWNLOAD THIS DATASET.

Resources

  • https://dx.doi.org/10.5065/D6MW2F4D
    Description

    When publishing results using this data set, the recommended cite for this data set is:

    A. Newman; K. Sampson; M. P. Clark; A. Bock; R. J. Viger; D. Blodgett, 2014. A large-sample watershed-scale hydrometeorological dataset for the contiguous USA. Boulder, CO: UCAR/NCAR. https://dx.doi.org/10.5065/D6MW2F4D

  • https://doi.org/10.5194/hess-19-209-2015
    Description

    The paper describing the hydrometeorological time series is:

    A. J. Newman, M. P. Clark, K. Sampson, A. Wood, L. E. Hay, A. Bock, R. J. Viger, D. Blodgett, L. Brekke, J. R. Arnold, T. Hopson, and Q. Duan: Development of a large-sample watershed-scale hydrometeorological dataset for the contiguous USA: dataset characteristics and assessment of regional variability in hydrologic model performance. Hydrol. Earth Syst. Sci., 19, 209-223, doi:10.5194/hess-19-209-2015, 2015

CAMELS catchment attributes Resources

  • https://doi.org/10.5065/D6G73C3Q
    Description

    When publishing results using this data set, the recommended cite for this data set is:

    N. Addor, A. Newman, M. Mizukami, and M. P. Clark, 2017. Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q

  • https://doi.org/10.5194/hess-21-5293-2017
    Description

    The paper describing the catchment attributes is:

    Addor, N., Newman, A. J., Mizukami, N. and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21, 5293–5313, doi:10.5194/hess-21-5293-2017, 2017.

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