Articles | Volume 11, issue 3
Earth Syst. Sci. Data, 11, 1003–1015, 2019
https://doi.org/10.5194/essd-11-1003-2019

Special issue: Linking landscape organisation and hydrological functioning:...

Earth Syst. Sci. Data, 11, 1003–1015, 2019
https://doi.org/10.5194/essd-11-1003-2019

Data description paper 08 Jul 2019

Data description paper | 08 Jul 2019

Hydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensing

Jiawei Hou et al.

Related authors

Remotely sensed reservoir water storage dynamics (1984–2015) and the influence of climate variability and management at global scale
Jiawei Hou, Albert van Dijk, Hylke Beck, Luigi Renzullo, and Yoshihide Wada
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-350,https://doi.org/10.5194/hess-2021-350, 2021
Preprint under review for HESS
Short summary
Using modelled discharge to develop satellite-based river gauging: a case study for the Amazon Basin
Jiawei Hou, Albert I. J. M. van Dijk, Luigi J. Renzullo, and Robert A. Vertessy
Hydrol. Earth Syst. Sci., 22, 6435–6448, https://doi.org/10.5194/hess-22-6435-2018,https://doi.org/10.5194/hess-22-6435-2018, 2018
Short summary

Related subject area

Hydrology and Soil Science – Hydrology
Baseline data for monitoring geomorphological effects of glacier lake outburst flood: a very-high-resolution image and GIS datasets of the distal part of the Zackenberg River, northeast Greenland
Aleksandra M. Tomczyk and Marek W. Ewertowski
Earth Syst. Sci. Data, 13, 5293–5309, https://doi.org/10.5194/essd-13-5293-2021,https://doi.org/10.5194/essd-13-5293-2021, 2021
Short summary
Mineral, thermal and deep groundwater of Hesse, Germany
Rafael Schäffer, Kristian Bär, Sebastian Fischer, Johann-Gerhard Fritsche, and Ingo Sass
Earth Syst. Sci. Data, 13, 4847–4860, https://doi.org/10.5194/essd-13-4847-2021,https://doi.org/10.5194/essd-13-4847-2021, 2021
Short summary
LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe
Christoph Klingler, Karsten Schulz, and Mathew Herrnegger
Earth Syst. Sci. Data, 13, 4529–4565, https://doi.org/10.5194/essd-13-4529-2021,https://doi.org/10.5194/essd-13-4529-2021, 2021
Short summary
Development of observation-based global multilayer soil moisture products for 1970 to 2016
Yaoping Wang, Jiafu Mao, Mingzhou Jin, Forrest M. Hoffman, Xiaoying Shi, Stan D. Wullschleger, and Yongjiu Dai
Earth Syst. Sci. Data, 13, 4385–4405, https://doi.org/10.5194/essd-13-4385-2021,https://doi.org/10.5194/essd-13-4385-2021, 2021
Short summary
A year of attenuation data from a commercial dual-polarized duplex microwave link with concurrent disdrometer, rain gauge, and weather observations
Anna Špačková, Vojtěch Bareš, Martin Fencl, Marc Schleiss, Joël Jaffrain, Alexis Berne, and Jörg Rieckermann
Earth Syst. Sci. Data, 13, 4219–4240, https://doi.org/10.5194/essd-13-4219-2021,https://doi.org/10.5194/essd-13-4219-2021, 2021
Short summary

Cited articles

Allen, G. H. and Pavelsky, T. M.: Patterns of river width and surface area revealed by the satellite-derived North American river width data set, Geophys. Res. Lett., 42, 395–402, https://doi.org/10.1002/2014GL062764, 2015. 
Allen, G. H. and Pavelsky, T. M.: Global extent of rivers and streams, Science, 361, 585–588, https://doi.org/10.1126/science.aat0636, 2018. 
Andreadis, K. M., Schumann, G. J. P., and Pavelsky, T.: A simple global river bankfull width and depth database, Water Resour. Res., 49, 7164–7168, https://doi.org/10.1002/wrcr.20440, 2013. 
ANU Centre for Water and Landscape Dynamics, available at: http://wald.anu.edu.au/, last access: 20 May 2019. 
Arora, V. K. and Boer, G. J.: A variable velocity flow routing algorithm for GCMs, J. Geophys. Res.-Atmos., 104, 30965–30979, https://doi.org/10.1029/1999JD900905, 1999. 
Download
Short summary
Hydromorphological data including temporal and spatial river width dynamics, flow regime, and river gradient for 1.4 x 106 Australian river reaches are presented. We propose a parameter which can be used to classify reaches by the degree to which flow regime tends towards permanent, frequent, intermittent, or ephemeral. This dataset provides fundamental information for understanding hydrological, biogeochemical, and ecological processes in floodplain–river systems.