Articles | Volume 25, issue 7
Hydrol. Earth Syst. Sci., 25, 4185–4208, 2021
https://doi.org/10.5194/hess-25-4185-2021
Hydrol. Earth Syst. Sci., 25, 4185–4208, 2021
https://doi.org/10.5194/hess-25-4185-2021

Research article 29 Jul 2021

Research article | 29 Jul 2021

Development and evaluation of 0.05° terrestrial water storage estimates using Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and assimilation of GRACE data

Natthachet Tangdamrongsub et al.

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Cited articles

Alkama, R., Decharme, B., Douville, H., Becker, M., Cazenave, A., Sheffield, J., Voldoire, A., Tyteca, S., and Le Moigne, P.: Global Evaluation of the ISBA-TRIP Continental Hydrological System. Part I: Comparison to GRACE Terrestrial Water Storage Estimates and In Situ River Discharges, J. Hydrometeorol., 11, 583–600, https://doi.org/10.1175/2010JHM1211.1, 2010. 
Australian Goverment: Australian Groundwater Explorer, available at: http://www.bom.gov.au/water/groundwater/explorer/map.shtml, last access: 6 May 2020. 
Australian National University: Environmental model software: W3 and OzWALD, available at: http://wald.anu.edu.au/challenges/water/w3-and-ozwald-hydrology-models, last access: 6 May 2020. 
Beamer, J. P., Hill, D. F., Arendt, A., and Liston, G. E.: High-resolution modeling of coastal freshwater discharge and glacier mass balance in the Gulf of Alaska watershed, Water Resour. Res., 52, 3888–3909, https://doi.org/10.1002/2015WR018457, 2016. 
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Short summary
Accurate estimation of terrestrial water storage (TWS) is essential for reliable water resource assessments. TWS can be estimated from the Community Atmosphere–Biosphere Land Exchange model (CABLE), but the resolution is limited to 0.5°. We reconfigure CABLE to improve TWS spatial details from 0.5° to 0.05°. GRACE satellite data are assimilated into CABLE to improve TWS accuracy. Our workflow relies only on publicly accessible data, allowing reproduction of 0.05° TWS in any region.