TY - JOUR
T1 - On the suitability of the 4°×4° GRACE mascon solutions for remote sensing Australian hydrology
AU - Awange, J. L.
AU - Fleming, K. M.
AU - Kuhn, M.
AU - Featherstone, W. E.
AU - Heck, B.
AU - Anjasmara, I.
N1 - Funding Information:
The authors are grateful to Frank Lemoine of GSFC and the three anonymous reviewers whose comments and suggestions have significantly improved the manuscript. This research was supported under the Australian Research Council Discovery Projects funding scheme (project number DP087738 ). J.L. Awange acknowledges the financial support of a Curtin Research Fellowship and the Alexander von Humboldt (Ludwig Leichhardt Memorial Fellowship) Foundation that support his time at Curtin University and Karlsruhe Institute of Technology, respectively. M. Kuhn acknowledges the support of a Curtin Research Fellowship. I. Anjasmara acknowledges the support of The Institute for Geoscience Research (TiGeR). W. Featherstone is the recipient of an Australian Research Council Professorial Fellowship (project number DP0663020). The authors further wish to thank A. Güntner of GFZ Potsdam for making WGHM available, O. Baur of the Space Research Institute (Austrian Academy of Sciences) in Graz for providing his post-processed CSR solutions, and E. Forootan of the University of Bonn for the reformatted GLDAS time series. The authors are also grateful for the other datasets used in this work, which may be obtained from the following sources:
PY - 2011/3/15
Y1 - 2011/3/15
N2 - Hydrological monitoring is essential for meaningful water-management policies and actions, especially where water resources are scarce and/or dwindling, as is the case in Australia. In this paper, we investigate the regional 4° × 4° mascon (mass concentration) GRACE solutions for Australia provided by GSFC (Goddard Space Flight Center, NASA) for their suitability in monitoring Australian hydrology, with a particular focus on the Murray-Darling Basin (MDB). Using principal component analysis (PCA) and multi-linear regression analysis (MLRA), the main components of spatial and temporal variability in the mascon solutions are analysed over the whole Australian continent and the MDB. The results are compared to those from global solutions provided by CSR (Center for Space Research, University of Texas at Austin, USA) and CNES/GRGS (Centre National d'Ètudes Spatiales/Groupe de Recherche de Geodesie Spatiale, France) and validated using data from the Tropical Rainfall Measuring Mission (TRMM), water storage changes predicted by the WaterGap Global Hydrological Model (WGHM) and the Global Land Data Assimilation System (GLDAS), and ground-truth (river-gauge) observations. For the challenging Australian case with generally weak hydrological signals, the mascon solutions provide similar results to those from the global solutions, with the advantage of not requiring additional filtering (destriping and smoothing) as, for example, is necessary for the CSR solutions. A further advantage of the mascon solutions is that they offer a higher temporal resolution (i.e., 10 days) compared to approximately monthly CSR solutions. Examining equivalent water volume (EWV) time series for the MDB shows a good cross-correlation (generally. > 0.7) among the GRACE solutions when considering the whole basin, although lower (generally. <. 0.5) when all the GRACE solutions are compared to the TRMM, WGHM and GLDAS time series. Examining smaller portions of the MDB see the correlation among the GRACE solutions and the TRMM, WGHM and GLDAS EWV time series increase slightly (> 0.6), with all time series appearing to visually follow the general behaviour of the river-gauge data, although the cross-correlations are relatively low (between 0.3 and 0.6).
AB - Hydrological monitoring is essential for meaningful water-management policies and actions, especially where water resources are scarce and/or dwindling, as is the case in Australia. In this paper, we investigate the regional 4° × 4° mascon (mass concentration) GRACE solutions for Australia provided by GSFC (Goddard Space Flight Center, NASA) for their suitability in monitoring Australian hydrology, with a particular focus on the Murray-Darling Basin (MDB). Using principal component analysis (PCA) and multi-linear regression analysis (MLRA), the main components of spatial and temporal variability in the mascon solutions are analysed over the whole Australian continent and the MDB. The results are compared to those from global solutions provided by CSR (Center for Space Research, University of Texas at Austin, USA) and CNES/GRGS (Centre National d'Ètudes Spatiales/Groupe de Recherche de Geodesie Spatiale, France) and validated using data from the Tropical Rainfall Measuring Mission (TRMM), water storage changes predicted by the WaterGap Global Hydrological Model (WGHM) and the Global Land Data Assimilation System (GLDAS), and ground-truth (river-gauge) observations. For the challenging Australian case with generally weak hydrological signals, the mascon solutions provide similar results to those from the global solutions, with the advantage of not requiring additional filtering (destriping and smoothing) as, for example, is necessary for the CSR solutions. A further advantage of the mascon solutions is that they offer a higher temporal resolution (i.e., 10 days) compared to approximately monthly CSR solutions. Examining equivalent water volume (EWV) time series for the MDB shows a good cross-correlation (generally. > 0.7) among the GRACE solutions when considering the whole basin, although lower (generally. <. 0.5) when all the GRACE solutions are compared to the TRMM, WGHM and GLDAS time series. Examining smaller portions of the MDB see the correlation among the GRACE solutions and the TRMM, WGHM and GLDAS EWV time series increase slightly (> 0.6), with all time series appearing to visually follow the general behaviour of the river-gauge data, although the cross-correlations are relatively low (between 0.3 and 0.6).
KW - Australia
KW - GRACE
KW - Hydrology
KW - Mascons
KW - Water resources\
UR - http://www.scopus.com/inward/record.url?scp=78651437396&partnerID=8YFLogxK
U2 - 10.1016/j.rse.2010.11.014
DO - 10.1016/j.rse.2010.11.014
M3 - Article
AN - SCOPUS:78651437396
SN - 0034-4257
VL - 115
SP - 864
EP - 875
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
IS - 3
ER -