Articles | Volume 25, issue 8
https://doi.org/10.5194/hess-25-4567-2021
https://doi.org/10.5194/hess-25-4567-2021
Research article
 | 
24 Aug 2021
Research article |  | 24 Aug 2021

Satellite soil moisture data assimilation for improved operational continental water balance prediction

Siyuan Tian, Luigi J. Renzullo, Robert C. Pipunic, Julien Lerat, Wendy Sharples, and Chantal Donnelly

Related authors

From gridded runoff to streamflow: application of statistical post-processing to generate seasonal streamflow forecasts
Christopher A. Pickett-Heaps, Patrick Sunter, Wendy Sharples, Michael Pegios, Catherine Wilson, Alex Cornish, Richard Laugesen, and Elisabetta Carrara
EGUsphere, https://doi.org/10.5194/egusphere-2025-1379,https://doi.org/10.5194/egusphere-2025-1379, 2025
Short summary
Future changes in seasonal drought in Australia
Anna M. Ukkola, Steven Thomas, Elisabeth Vogel, Ulrike Bende-Michl, Steven Siems, Vjekoslav Matic, and Wendy Sharples
EGUsphere, https://doi.org/10.31223/X56110,https://doi.org/10.31223/X56110, 2024
Short summary
A tale of two floods: Hawkesbury-Nepean valley floods of February 2020 and March 2021
Wendy Sharples, Katayoon Bahramian, Kesav Unnithan, Christoph Rüdiger, Jiawei Hou, Christopher Pickett-Heaps, and Elisabetta Carrara
Proc. IAHS, 386, 237–249, https://doi.org/10.5194/piahs-386-237-2024,https://doi.org/10.5194/piahs-386-237-2024, 2024
Short summary
Continental-scale bias-corrected climate and hydrological projections for Australia
Justin Peter, Elisabeth Vogel, Wendy Sharples, Ulrike Bende-Michl, Louise Wilson, Pandora Hope, Andrew Dowdy, Greg Kociuba, Sri Srikanthan, Vi Co Duong, Jake Roussis, Vjekoslav Matic, Zaved Khan, Alison Oke, Margot Turner, Stuart Baron-Hay, Fiona Johnson, Raj Mehrotra, Ashish Sharma, Marcus Thatcher, Ali Azarvinand, Steven Thomas, Ghyslaine Boschat, Chantal Donnelly, and Robert Argent
Geosci. Model Dev., 17, 2755–2781, https://doi.org/10.5194/gmd-17-2755-2024,https://doi.org/10.5194/gmd-17-2755-2024, 2024
Short summary
GloLakes: water storage dynamics for 27 000 lakes globally from 1984 to present derived from satellite altimetry and optical imaging
Jiawei Hou, Albert I. J. M. Van Dijk, Luigi J. Renzullo, and Pablo R. Larraondo
Earth Syst. Sci. Data, 16, 201–218, https://doi.org/10.5194/essd-16-201-2024,https://doi.org/10.5194/essd-16-201-2024, 2024
Short summary

Cited articles

Alemohammad, S. H., McColl, K. A., Konings, A. G., Entekhabi, D., and Stoffelen, A.: Characterization of precipitation product errors across the United States using multiplicative triple collocation, Hydrol. Earth Syst. Sci., 19, 3489–3503, https://doi.org/10.5194/hess-19-3489-2015, 2015. 
Alvarez-Garreton, C., Ryu, D., Western, A. W., Su, C. H., Crow, W. T., Robertson, D. E., and Leahy, C.: Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes, Hydrol. Earth Syst. Sci., 19, 1659–1676, https://doi.org/10.5194/hess-19-1659-2015, 2015. 
Anderson, J., Hoar, T., Raeder, K., Liu, H., Collins, N., Torn, R., and Avellano, A.: The data assimilation research testbed: A community facility, B. Am. Meteorol. Soc., 90, 1283–1296, 2009. 
AWRA-CMS – The Australian Water Resources Assessment: Community Modelling System (Frost et al. 2018), Github [code], availalbe at: https://github.com/awracms/awra_cms, last access: 1 September 2021. 
Baldwin, D., Manfreda, S., Keller, K., and Smithwick, E.: Predicting root zone soil moisture with soil properties and satellite near-surface moisture data across the conterminous United States, J. Hydrol., 546, 393–404, 2017. 
Download
Short summary
Accurate daily continental water balance predictions are valuable in monitoring and forecasting water availability and land surface conditions. A simple and robust method was developed for an operational water balance model to constrain model predictions temporally and spatially with satellite soil moisture observations. The improved soil water storage prediction can provide constraints in model forecasts that persist for several weeks.
Share