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CAMELS

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Description CAMELS is a collection of datasets combining hydrological and meteorological observations with catchment attributes for hundreds of catchments across the United States and other regions. The dataset includes attributes such as geology, soil, climate, and land cover, along with daily streamflow and precipitation data. CAMELS is used for understanding hydrological processes, benchmarking hydrological models, and conducting comparative studies across diverse catchments.
Folder /datasets/hydrological/CAMELS
Discipline Hydrology / Earth Sciences / Environmental Science
DOI 10.5194/hess-21-5293-2017
Link Access Data
Public true
Publication Date 2017-10-20
Downloaded 2024-10-31
Data Type plain text / ASCII files
Dataset Size 16G
Number of Files 17518
Usage
$ module avail
$ module load datasets
$ module load hydrological/CAMELS/2017-10-20
Usage Policy Link https://creativecommons.org/licenses/by/4.0/
Usage Policy This article and the associated dataset are distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Users may use, share, adapt, and redistribute the material with appropriate credit to the original authors. A link to the license must be included (https://creativecommons.org/licenses/by/4.0/), and any modifications should be clearly indicated. Users are responsible for ensuring that the dataset is appropriate for their applications.
Citation 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, https://doi.org/10.5194/hess-21-5293-2017, 2017.
BibTeX
📜 View BibTeX citation
@Article{hess-21-5293-2017,
AUTHOR = {Addor, N. and Newman, A. J. and Mizukami, N. and Clark, M. P.},
TITLE = {The CAMELS data set: catchment attributes and meteorology for
large-sample studies},
JOURNAL = {Hydrology and Earth System Sciences},
VOLUME = {21},
YEAR = {2017},
NUMBER = {10},
PAGES = {5293--5313},
URL = {https://hess.copernicus.org/articles/21/5293/2017/},
DOI = {10.5194/hess-21-5293-2017}
}