https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35328 5 cycles‐per‐revolution. The admittance spectrum quantifies that the LGD response to range‐acceleration is systematically larger at lower frequencies, due to the increased contribution of centrifugal acceleration. We find that the correlation and admittance spectra are stationary (i.e., are independent of time, satellite altitude, and gravity strength) and, therefore, can be determined a priori with high fidelity. We determine the spectral transfer function and the equivalent time domain filter. Using both synthetic and actual GRACE data, we demonstrate that in situ LGD can be estimated via the transfer function with an estimation error of 0.15 nm/s², whereas the actual GRACE data error is around 1.0 nm/s². We present an application of LGD data to surface water storage changes in large basins such as Amazon, Congo, Parana, and Mississippi by processing 11 years of GRACE data. Runoff routing models are calibrated directly using LGD data. Our technique demonstrates a new way of using GRACE data by forward modeling of various geophysical models and in‐orbit comparison with such GRACE in situ data.]]> Tue 16 Jul 2019 12:19:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39939 in-situ groundwater level data in the NCP. Compared to the model computation, there was a significant improvement in terms of cross correlation, on average, from 0.12 (before assimilation) to 0.54 (after assimilation). This study demonstrates the effectiveness of GRACE data assimilation toward reliable estimation of ground water storage variation in the NCP, and its promise to quantify the potential implication of water supply from the South-to-North Water Transfer Project within the NCP.]]> Thu 30 Jun 2022 13:40:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50126 Thu 13 Jul 2023 11:11:13 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35813 Thu 05 Dec 2019 15:27:11 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42699 Thu 01 Sep 2022 09:41:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39721 Fri 17 Jun 2022 17:38:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40034 2 at 490 km altitude, improved by 1 order of magnitude from KBR. This allows LRI to uniquely detect un-/mis-modeled short-wavelength gravitational perturbations. We employed all LRI data in 2019 to validate various state-of-the-art global static gravity field models and show that LRI measurements, even over 1 month, can distinguish subtle differences among the models computed from ~15 years of GRACE KBR and ~4 years of Gravity Field and Steady-State Ocean Circulation Explorer (GOCE) gradiometry data. Ultra-precise LRI measurements will be yet another critical data set for future gravity field model development.]]> Fri 15 Jul 2022 10:11:22 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40035 2. There is good agreement between GRACE measurements and tsunami models for the three events. Complementarily to buoys, ocean bottom pressure sounders, and satellite altimeters, GRACE is sensitive to the long-wavelength spatial scale of tsunamis and provides an independent source of information for assessing alternate early earthquake and tsunami models. Our study demonstrates an innovative way of applying GRACE and GRACE Follow-On data to detect transient geophysical mass changes which cannot be observed by the conventional monthly Level-2 and mascon solutions.]]> Fri 15 Jul 2022 10:11:21 AEST ]]>