https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46432 Wed 23 Nov 2022 11:36:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34137 zzz are 1.705 mGal (noise value with a standard deviation 0.01 × 10⁻¹⁵m⁻¹s⁻²) and 2.005 mGal (noise value with a standard deviation 0.05 × 10⁻¹⁵m⁻¹s⁻²), while the superior from r-c-r up to the degree 80, STD fit of gravity anomalies from T_zzz with respect to the same counterpart from EGM2008 is 0.510 mGal (noise value with a standard deviation 0.01 × 10⁻¹⁵m⁻¹s⁻²) and 1.190 mGal (noise value with a standard deviation 0.05 × 10⁻¹⁵m⁻¹s⁻²).]]> Wed 04 Sep 2019 09:55:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46606 2. In this paper, a forward model is developed to determine the increased water surface level corresponding to GRACE observations, estimated to be about 120 m. In contrast to GRACE, the TWS derived from land surface models cannot capture the increased ΔTWS, due to the lack of reservoir routing algorithms in the models. In addition, the land subsidence was calculated using the disk load model constructed based on the GRACE-derived lake level and Landsat-derived lake extent; the result is validated with the GPS data from BIN1 station, located at the western coast of Borneo. The commencement stage of the Bakun Dam induces the large-scale land subsidence, which causes the GPS-BIN1 station to subside by ~9 mm, and move toward the Bakun Lake by ~4 mm. Computation of the surface displacements directly from GRACE spherical harmonic coefficient data fails to capture the subsidence feature, mainly due to the truncation error. Overall, this study demonstrates that evaluating GRACE in conjunction with Landsat, LSMs, and GPS data allows the exploitation of the gravity signal at a much smaller spatial scale than its intrinsic resolution. Benefiting from global coverage, the newly developed satellite-based algorithm is a valuable tool for assessing the impacts of reservoir operation on hydrological and geophysical changes from local to regional scales.]]> Tue 14 May 2024 10:25:42 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41365 Tue 02 Aug 2022 14:45:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41363 Tue 02 Aug 2022 14:38:25 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40003 Thu 14 Jul 2022 13:18:17 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48840 Thu 13 Apr 2023 09:38:39 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39463 -19 m^-1 s^-2. Results of the numerical analysis reveal that the arithmetic mean model provides the best solution in terms of the RMS fit between predicted and reference values. We explain this result by the facts that the conditions only create additional stochastic bindings between estimated parameters and that more complex numerical schemes for the error propagation are unnecessary in the presence of only a random noise.]]> Thu 09 Jun 2022 09:22:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42268 Fri 19 Aug 2022 14:23:24 AEST ]]>