Articles | Volume 13, issue 8
Earth Syst. Sci. Data, 13, 3847–3867, 2021
https://doi.org/10.5194/essd-13-3847-2021
Earth Syst. Sci. Data, 13, 3847–3867, 2021
https://doi.org/10.5194/essd-13-3847-2021
Data description paper
06 Aug 2021
Data description paper | 06 Aug 2021

CAMELS-AUS: hydrometeorological time series and landscape attributes for 222 catchments in Australia

Keirnan J. A. Fowler et al.

Related authors

Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v2.1: an object-oriented implementation of 47 of your favourite hydrologic models for improved speed and readability
Luca Trotter, Wouter J. M. Knoben, Keirnan J. A. Fowler, Margarita Saft, and Murray C. Peel
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-135,https://doi.org/10.5194/gmd-2022-135, 2022
Preprint under review for GMD
Short summary
Explaining changes in rainfall-runoff relationships during and after Australia's Millennium Drought: a community perspective
Keirnan Fowler, Murray Peel, Margarita Saft, Tim Peterson, Andrew Western, Lawrence Band, Cuan Petheram, Sandra Dharmadi, Kim Seong Tan, Lu Zhang, Patrick Lane, Anthony Kiem, Lucy Marshall, Anne Griebel, Belinda Medlyn, Dongryeol Ryu, Giancarlo Bonotto, Conrad Wasko, Anna Ukkola, Clare Stephens, Andrew Frost, Hansini Weligamage, Patricia Saco, Hongxing Zheng, Francis Chiew, Edoardo Daly, Glen Walker, R. Willem Vervoort, Justin Hughes, Luca Trotter, Brad Neal, Ian Cartwright, and Rory Nathan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-147,https://doi.org/10.5194/hess-2022-147, 2022
Preprint under review for HESS
Short summary
Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v1.2: an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations
Wouter J. M. Knoben, Jim E. Freer, Keirnan J. A. Fowler, Murray C. Peel, and Ross A. Woods
Geosci. Model Dev., 12, 2463–2480, https://doi.org/10.5194/gmd-12-2463-2019,https://doi.org/10.5194/gmd-12-2463-2019, 2019
Short summary

Related subject area

Hydrology and Soil Science – Hydrology
Concentrations and fluxes of suspended particulate matter and associated contaminants in the Rhône River from Lake Geneva to the Mediterranean Sea
Hugo Lepage, Alexandra Gruat, Fabien Thollet, Jérôme Le Coz, Marina Coquery, Matthieu Masson, Aymeric Dabrin, Olivier Radakovitch, Jérôme Labille, Jean-Paul Ambrosi, Doriane Delanghe, and Patrick Raimbault
Earth Syst. Sci. Data, 14, 2369–2384, https://doi.org/10.5194/essd-14-2369-2022,https://doi.org/10.5194/essd-14-2369-2022, 2022
Short summary
A global drought dataset of standardized moisture anomaly index incorporating snow dynamics (SZIsnow) and its application in identifying large-scale drought events
Lei Tian, Baoqing Zhang, and Pute Wu
Earth Syst. Sci. Data, 14, 2259–2278, https://doi.org/10.5194/essd-14-2259-2022,https://doi.org/10.5194/essd-14-2259-2022, 2022
Short summary
River network and hydro-geomorphological parameters at 1∕12° resolution for global hydrological and climate studies
Simon Munier and Bertrand Decharme
Earth Syst. Sci. Data, 14, 2239–2258, https://doi.org/10.5194/essd-14-2239-2022,https://doi.org/10.5194/essd-14-2239-2022, 2022
Short summary
Integrated hydrogeological and hydrogeochemical dataset of an alpine catchment in the northern Qinghai–Tibet Plateau
Zhao Pan, Rui Ma, Ziyong Sun, Yalu Hu, Qixin Chang, Mengyan Ge, Shuo Wang, Jianwei Bu, Xiang Long, Yanxi Pan, and Lusong Zhao
Earth Syst. Sci. Data, 14, 2147–2165, https://doi.org/10.5194/essd-14-2147-2022,https://doi.org/10.5194/essd-14-2147-2022, 2022
Short summary
GeoDAR: georeferenced global dams and reservoirs dataset for bridging attributes and geolocations
Jida Wang, Blake A. Walter, Fangfang Yao, Chunqiao Song, Meng Ding, Abu Sayeed Maroof, Jingying Zhu, Chenyu Fan, Jordan M. McAlister, Safat Sikder, Yongwei Sheng, George H. Allen, Jean-François Crétaux, and Yoshihide Wada
Earth Syst. Sci. Data, 14, 1869–1899, https://doi.org/10.5194/essd-14-1869-2022,https://doi.org/10.5194/essd-14-1869-2022, 2022
Short summary

Cited articles

Acharya, S. C., Nathan, R., Wang, Q. J., Su, C.-H., and Eizenberg, N.: An evaluation of daily precipitation from a regional atmospheric reanalysis over Australia, Hydrol. Earth Syst. Sci., 23, 3387–3403, https://doi.org/10.5194/hess-23-3387-2019, 2019. 
Adam, J. C., Clark, E. A., Lettenmaier, D. P., and Wood, E. F.: Correction of global precipitation products for orographic effects, J. Climate, 19, 15–38, https://doi.org/10.1175/JCLI3604.1, 2006. 
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. 
Addor, N., Do, H. X., Alvarez-Garreton, C., Coxon, G., Fowler, K., and Mendoza, P. A.: Large sample hydrology: recent progress, guidelines for new datasets and grand challenges, Hydrol. Sci. J., 65, 712–725, https://doi.org/10.1080/02626667.2019.1683182, 2019. 
Aghakouchak, A., D. Feldman, M. Stewardson, J. Saphores, Grant S., and Sanders, B.: Australia's Drought: Lessons for California, Science, 343, 1430–1431, https://doi.org/10.1126/science.343.6178.1430, 2014. 
Download
Short summary
This paper presents the Australian edition of the Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) series of datasets. CAMELS-AUS comprises data for 222 unregulated catchments with long-term monitoring, combining hydrometeorological time series (streamflow and 18 climatic variables) with 134 attributes related to geology, soil, topography, land cover, anthropogenic influence and hydroclimatology. It is freely downloadable from https://doi.pangaea.de/10.1594/PANGAEA.921850.