Articles | Volume 22, issue 3
https://doi.org/10.5194/hess-22-1811-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-22-1811-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Mar 2018
Research article |
| 13 Mar 2018
On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia
Natthachet Tangdamrongsub
CORRESPONDING AUTHOR
School of Engineering, University of Newcastle, Callaghan, New South Wales, Australia
Shin-Chan Han
School of Engineering, University of Newcastle, Callaghan, New South Wales, Australia
Mark Decker
ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, New South Wales, Australia
In-Young Yeo
School of Engineering, University of Newcastle, Callaghan, New South Wales, Australia
Hyungjun Kim
Institute of Industrial Science, the University of Tokyo, Tokyo, Japan
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Cited
20 citations as recorded by crossref.
- Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data Z. Yin et al. 10.5194/hess-22-5463-2018
- Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts J. Zaherpour et al. 10.1088/1748-9326/aac547
- Sustainable and resilient management scenarios for groundwater resources of the Red Sea coastal aquifers B. Niyazi et al. 10.1016/j.scitotenv.2019.07.081
- Assessment of GRACE/GRACE Follow-On Terrestrial Water Storage Estimates Using an Improved Forward Modeling Method: A Case Study in Africa H. Zhou et al. 10.3389/feart.2021.796723
- Improving the Accuracy of Groundwater Storage Estimates Based on Groundwater Weighted Fusion Model K. Su et al. 10.3390/rs14010202
- Forecasting dryland vegetation condition months in advance through satellite data assimilation S. Tian et al. 10.1038/s41467-019-08403-x
- Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE model W. Yin et al. 10.1016/j.jhydrol.2020.125348
- Improving regional groundwater storage estimates from GRACE and global hydrological models over Tasmania, Australia W. Yin et al. 10.1007/s10040-020-02157-3
- WAYS v1: a hydrological model for root zone water storage simulation on a global scale G. Mao & J. Liu 10.5194/gmd-12-5267-2019
- Detection of groundwater storage variability based on GRACE and CABLE model in the Murray-Darling Basin T. Li et al. 10.1051/e3sconf/201913101067
- Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response S. Tian et al. 10.5194/hess-23-1067-2019
- Environmental Sustainability of Water Footprint in Mainland China J. Liu et al. 10.1016/j.geosus.2020.02.002
- Quantifying water storage change and land subsidence induced by reservoir impoundment using GRACE, Landsat, and GPS data N. Tangdamrongsub et al. 10.1016/j.rse.2019.111385
- Assessing Performances of Multivariate Data Assimilation Algorithms with SMOS, SMAP, and GRACE Observations for Improved Soil Moisture and Groundwater Analyses N. Tangdamrongsub et al. 10.3390/w14040621
- Spatio-Temporal Evaluation of Water Storage Trends from Hydrological Models over Australia Using GRACE Mascon Solutions X. Yang et al. 10.3390/rs12213578
- Evaluation of Groundwater Storage Variations Estimated from GRACE Data Assimilation and State-of-the-Art Land Surface Models in Australia and the North China Plain N. Tangdamrongsub et al. 10.3390/rs10030483
- ATTRICI v1.1 – counterfactual climate for impact attribution M. Mengel et al. 10.5194/gmd-14-5269-2021
- Tracking inter-annual terrestrial water storage variations over Lake Baikal basin from GRACE and GRACE Follow-On missions M. Wei et al. 10.1016/j.ejrh.2022.101004
- Optimizing GRACE/GRACE-FO data and a priori hydrological knowledge for improved global terrestial water storage component estimates N. Tangdamrongsub et al. 10.1016/j.jhydrol.2021.126463
- Multivariate data assimilation of GRACE, SMOS, SMAP measurements for improved regional soil moisture and groundwater storage estimates N. Tangdamrongsub et al. 10.1016/j.advwatres.2019.103477
20 citations as recorded by crossref.
- Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data Z. Yin et al. 10.5194/hess-22-5463-2018
- Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts J. Zaherpour et al. 10.1088/1748-9326/aac547
- Sustainable and resilient management scenarios for groundwater resources of the Red Sea coastal aquifers B. Niyazi et al. 10.1016/j.scitotenv.2019.07.081
- Assessment of GRACE/GRACE Follow-On Terrestrial Water Storage Estimates Using an Improved Forward Modeling Method: A Case Study in Africa H. Zhou et al. 10.3389/feart.2021.796723
- Improving the Accuracy of Groundwater Storage Estimates Based on Groundwater Weighted Fusion Model K. Su et al. 10.3390/rs14010202
- Forecasting dryland vegetation condition months in advance through satellite data assimilation S. Tian et al. 10.1038/s41467-019-08403-x
- Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE model W. Yin et al. 10.1016/j.jhydrol.2020.125348
- Improving regional groundwater storage estimates from GRACE and global hydrological models over Tasmania, Australia W. Yin et al. 10.1007/s10040-020-02157-3
- WAYS v1: a hydrological model for root zone water storage simulation on a global scale G. Mao & J. Liu 10.5194/gmd-12-5267-2019
- Detection of groundwater storage variability based on GRACE and CABLE model in the Murray-Darling Basin T. Li et al. 10.1051/e3sconf/201913101067
- Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response S. Tian et al. 10.5194/hess-23-1067-2019
- Environmental Sustainability of Water Footprint in Mainland China J. Liu et al. 10.1016/j.geosus.2020.02.002
- Quantifying water storage change and land subsidence induced by reservoir impoundment using GRACE, Landsat, and GPS data N. Tangdamrongsub et al. 10.1016/j.rse.2019.111385
- Assessing Performances of Multivariate Data Assimilation Algorithms with SMOS, SMAP, and GRACE Observations for Improved Soil Moisture and Groundwater Analyses N. Tangdamrongsub et al. 10.3390/w14040621
- Spatio-Temporal Evaluation of Water Storage Trends from Hydrological Models over Australia Using GRACE Mascon Solutions X. Yang et al. 10.3390/rs12213578
- Evaluation of Groundwater Storage Variations Estimated from GRACE Data Assimilation and State-of-the-Art Land Surface Models in Australia and the North China Plain N. Tangdamrongsub et al. 10.3390/rs10030483
- ATTRICI v1.1 – counterfactual climate for impact attribution M. Mengel et al. 10.5194/gmd-14-5269-2021
- Tracking inter-annual terrestrial water storage variations over Lake Baikal basin from GRACE and GRACE Follow-On missions M. Wei et al. 10.1016/j.ejrh.2022.101004
- Optimizing GRACE/GRACE-FO data and a priori hydrological knowledge for improved global terrestial water storage component estimates N. Tangdamrongsub et al. 10.1016/j.jhydrol.2021.126463
- Multivariate data assimilation of GRACE, SMOS, SMAP measurements for improved regional soil moisture and groundwater storage estimates N. Tangdamrongsub et al. 10.1016/j.advwatres.2019.103477
Latest update: 25 Mar 2023
Short summary
We present a new approach to improve the water storage estimate. Our approach combines GRACE's raw data (least-squares normal equation) with the results from the Community Atmosphere Land Exchange (CABLE) model. No post-processing filter is applied to GRACE data, and the full GRACE signal and error information are exploited. The approach is applied over 10 Australian river basins, and the evident improvement of the water storage estimate, particularly groundwater component, is clearly observed.
We present a new approach to improve the water storage estimate. Our approach combines GRACE's...
