Analysis of uncertainties in the inference of groundwater dynamics from gravity recovery and climate experiment observations over Australia

A. I.J.M. Van Dijk; R. S. Crosbie; J. L. Peña-Arancibia; P. Tregoning; S. McClusky

doi:10.1109/IGARSS.2012.6351295

Analysis of uncertainties in the inference of groundwater dynamics from gravity recovery and climate experiment observations over Australia

A. I.J.M. Van Dijk^*, R. S. Crosbie, J. L. Peña-Arancibia, P. Tregoning, S. McClusky

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

3 Citations (Scopus)

Abstract

Groundwater management in Australia is complicated by the cost and scarcity (vs. spatial variability) of bore monitoring. Gravity Recovery and Climate Experiment (GRACE) remote sensing may alleviate this problem, but derived groundwater storage estimates are subject to errors, particularly, in total water storage (TWS) retrieval and in estimated soil moisture contributions to TWS. We quantified the uncertainties from both sources over Australia. In addition, for 12 regions we compared groundwater changes derived from GRACE with up-scaled groundwater bore measurements. Favourable agreement was found for regions with many bores, but a direct comparison was complicated by the scarcity and biased positioning of bores; uncertainty in soil moisture model assumptions; and uncertainty in the aquifer property that translates groundwater level into storage. Further improvements in spatial GRACE TWS resolution and in soil moisture estimation accuracy will be required to increase the utility of GRACE for groundwater management.

Original language	English
Pages	1318-1320
Number of pages	3
DOIs	https://doi.org/10.1109/IGARSS.2012.6351295
Publication status	Published - 2012
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012

Conference

Conference	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12

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Van Dijk, A. I. J. M., Crosbie, R. S., Peña-Arancibia, J. L., Tregoning, P., & McClusky, S. (2012). Analysis of uncertainties in the inference of groundwater dynamics from gravity recovery and climate experiment observations over Australia. 1318-1320. Paper presented at 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany. https://doi.org/10.1109/IGARSS.2012.6351295

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title = "Analysis of uncertainties in the inference of groundwater dynamics from gravity recovery and climate experiment observations over Australia",

abstract = "Groundwater management in Australia is complicated by the cost and scarcity (vs. spatial variability) of bore monitoring. Gravity Recovery and Climate Experiment (GRACE) remote sensing may alleviate this problem, but derived groundwater storage estimates are subject to errors, particularly, in total water storage (TWS) retrieval and in estimated soil moisture contributions to TWS. We quantified the uncertainties from both sources over Australia. In addition, for 12 regions we compared groundwater changes derived from GRACE with up-scaled groundwater bore measurements. Favourable agreement was found for regions with many bores, but a direct comparison was complicated by the scarcity and biased positioning of bores; uncertainty in soil moisture model assumptions; and uncertainty in the aquifer property that translates groundwater level into storage. Further improvements in spatial GRACE TWS resolution and in soil moisture estimation accuracy will be required to increase the utility of GRACE for groundwater management.",

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Van Dijk, AIJM, Crosbie, RS, Peña-Arancibia, JL, Tregoning, P & McClusky, S 2012, 'Analysis of uncertainties in the inference of groundwater dynamics from gravity recovery and climate experiment observations over Australia', Paper presented at 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany, 22/07/12 - 27/07/12 pp. 1318-1320. https://doi.org/10.1109/IGARSS.2012.6351295

Analysis of uncertainties in the inference of groundwater dynamics from gravity recovery and climate experiment observations over Australia. / Van Dijk, A. I.J.M.; Crosbie, R. S.; Peña-Arancibia, J. L. et al.
2012. 1318-1320 Paper presented at 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany.

Research output: Contribution to conference › Paper › peer-review

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AU - Tregoning, P.

AU - McClusky, S.

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AB - Groundwater management in Australia is complicated by the cost and scarcity (vs. spatial variability) of bore monitoring. Gravity Recovery and Climate Experiment (GRACE) remote sensing may alleviate this problem, but derived groundwater storage estimates are subject to errors, particularly, in total water storage (TWS) retrieval and in estimated soil moisture contributions to TWS. We quantified the uncertainties from both sources over Australia. In addition, for 12 regions we compared groundwater changes derived from GRACE with up-scaled groundwater bore measurements. Favourable agreement was found for regions with many bores, but a direct comparison was complicated by the scarcity and biased positioning of bores; uncertainty in soil moisture model assumptions; and uncertainty in the aquifer property that translates groundwater level into storage. Further improvements in spatial GRACE TWS resolution and in soil moisture estimation accuracy will be required to increase the utility of GRACE for groundwater management.

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Van Dijk AIJM, Crosbie RS, Peña-Arancibia JL, Tregoning P, McClusky S. Analysis of uncertainties in the inference of groundwater dynamics from gravity recovery and climate experiment observations over Australia. 2012. Paper presented at 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany. doi: 10.1109/IGARSS.2012.6351295

Analysis of uncertainties in the inference of groundwater dynamics from gravity recovery and climate experiment observations over Australia

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