Preprints
https://doi.org/10.5194/hess-2020-665
https://doi.org/10.5194/hess-2020-665

  14 Jan 2021

14 Jan 2021

Review status: a revised version of this preprint is currently under review for the journal HESS.

Development and evaluation of 0.05° terrestrial water storage estimates using CABLE land surface model and GRACE data assimilation

Natthachet Tangdamrongsub1,2, Michael F. Jasinski2, and Peter Shellito1,2 Natthachet Tangdamrongsub et al.
  • 1Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA
  • 2Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Abstract. Accurate estimation of terrestrial water storage (TWS) at a meaningful spatiotemporal resolution is important for reliable assessments of regional water resources and climate variability. Individual components of TWS include soil moisture, snow, groundwater, and canopy storage and can be estimated from the Community Atmosphere Biosphere Land Exchange (CABLE) land surface model. The spatial resolution of CABLE is currently limited to 0.5° by the resolution of soil and vegetation datasets that underlie model parameterizations, posing a challenge to using CABLE for hydrological applications at a local scale. This study aims to improve the spatial detail (from 0.5° to 0.05°) and timespan (1981–2012) of CABLE TWS estimates using rederived model parameters and high-resolution meteorological forcing. In addition, TWS observations derived from the Gravity Recovery and Climate Experiment (GRACE) satellite mission are assimilated into CABLE to improve TWS accuracy. The success of the approach is demonstrated in Australia, where multiple ground observation networks are available for validation. The evaluation process is conducted using four different case studies that employ different model spatial resolutions and include or omit GRACE data assimilation (DA). We find that the CABLE 0.05° developed here improves TWS estimates in terms of accuracy, spatial resolution, and long-term water resource assessment reliability. The inclusion of GRACE DA increases the accuracy of groundwater storage (GWS) estimates and has little impact on surface soil moisture or evapotranspiration. The use of improved model parameters and improved state estimations (via GRACE DA) together is recommended to achieve the best GWS accuracy. The workflow elaborated in this paper relies only on publicly accessible global datasets, allowing reproduction of the 0.05° TWS estimates in any study region.

Natthachet Tangdamrongsub et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2020-665', Anonymous Referee #1, 12 Feb 2021
    • AC1: 'Reply on RC1', Natthachet Tangdamrongsub, 05 Apr 2021
  • RC2: 'Comment on hess-2020-665', Anonymous Referee #2, 12 Feb 2021
    • AC2: 'Reply on RC2', Natthachet Tangdamrongsub, 05 Apr 2021
  • RC3: 'Comment on hess-2020-665', Anonymous Referee #3, 12 Feb 2021
    • AC3: 'Reply on RC3', Natthachet Tangdamrongsub, 05 Apr 2021

Natthachet Tangdamrongsub et al.

Natthachet Tangdamrongsub et al.

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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 CABLE land surface model, but the spatial resolution is limited to 0.5°. This study reconfigures CABLE parameterization to improves TWS spatial details from 0.5° to 0.05°. The GRACE satellite data are assimilated into CABLE to improve TWS accuracy. Our workflow relies only on publicly accessible, allowing reproduction of 0.05° TWS in any region.