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,Peter J Shellito,Michael F Jasinski

doi:10.5194/hess-25-4185-2021

Abstract

Abstract. Accurate estimation of terrestrial water storage (TWS) at a high 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 data sets 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 time span (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. Using improved model parameters and improved state estimations (via GRACE DA) together is recommended to achieve the best GWS accuracy. The workflow elaborated on in this paper relies only on publicly accessible global data sets, allowing the reproduction of the 0.05∘ TWS estimates in any study region.

Highlights

Accurate knowledge of terrestrial water storage (TWS) is crucial for assessing water resource and climate variability (Delworth and Manabe, 1988; Koster and Suarez, 2001)
While groundwater storage (GWS) estimates from both Community Atmosphere Biosphere Land Exchange (CABLE) 0.5◦ and CABLE 0.05◦ improve with Gravity Recovery and Climate Experiment (GRACE) data assimilation (DA), we find that GRACE DA 0.5◦ (DA) shows a higher correlation value than CABLE 0.05◦ (OL) by 0.1
The 0.05◦ model improves the spatial resolution by a factor of 2 to 3 over the 0.5◦ version

Summary

Introduction

Accurate knowledge of terrestrial water storage (TWS) is crucial for assessing water resource and climate variability (Delworth and Manabe, 1988; Koster and Suarez, 2001). The TWS components can be measured or estimated by various platforms (e.g., satellite measurement and model simulation). Spatial resolutions are coarse due to the limitation of sensors and models that focus on global or continental scales (e.g., Rodell et al, 2004; Alkama et al, 2010). At a regional or local scale, the spatial resolution of the TWS estimate is vital, as most applications (e.g., risk management for drought or flood) require accurate information at the county or subcounty level (Quiring, 2009). This motivates the development of TWS estimates at higher spatiotemporal scales, cor-

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