Gracewater
Improved Resolution and Sampling of Total Water Storage Changes Through Data Fusion
Improved Resolution and Sampling of Total Water Storage Changes Through Data Fusion
This page lists data products of the NASA project "Improved Resolution and Sampling of Total Water Storage Changes Through Data Fusion" (80NSSC21K0061).
Dateset:
Carlson, C., Shirzaei, M. & Werth, S. Inversion Results Associated with Manuscript: Water loss during a record-setting drought in California measured using a joint inversion of GNSS, GRACE, and InSAR observations by Carlson et al. To be submitted to University Libraries, Virginia Tech, by January 2023.
Please cite the related publication:
This publication is currently under review and will be posted as soon as it is published.
Dataset:
This publication is currently in preparation and will be posted as soon as it is published.
Please cite the related publication:
This publication is currently in preparation and will be posted as soon as it is published.
Dataset:
Ghobadi Far, Khosro; Werth, Susanna; Shirzaei, Manoochehr (2023). InSAR deformation and Groundwater level for Santa Clara Valley aquifer system. University Libraries, Virginia Tech. Dataset. https://doi.org/10.7294/23589168.v1
Please cite the related publication:
Ghobadi-Far, K., Werth, S., Shirzaei, M., & Bürgmann, R. (2023). Spatiotemporal groundwater storage dynamics and aquifer mechanical properties in the Santa Clara Valley inferred from InSAR deformation over 2017-2022. Geophysical Research Letters, 50(22), e2023GL105157. https://doi.org/10.1029/2023GL105157
Dataset:
Khorrami, Mohammad; Shirzaei, Manoochehr; Ghobadi Far, Khosro; Werth, Susanna; Carlson, Grace; Zhai, Guang (2023). InSAR-based Vertical Land Motion at Mexico City. University Libraries, Virginia Tech. Dataset. https://doi.org/10.7294/21935947.v2
Please cite the related publication:
Khorrami, M., Shirzaei, M., Ghobadi‐Far, K., Werth, S., Carlson, G., & Zhai, G. (2023). Groundwater Volume Loss in Mexico City Constrained by InSAR and GRACE Observations and Mechanical Models. Geophysical Research Letters, 50(5). https://doi.org/10.1029/2022gl101962
Dataset:
This publication is currently under review and will be posted as soon as it is published.
Please cite the related publication:
Nitheshnirmal, S.; Ohenhen, L.; Khorrami, M.; Werth, S.; Shirzaei, M. (2024). Data for Vertical Land Motion and Building Damage Risk for the Indian Megacities. University Libraries, Virginia Tech. Dataset. https://doi.org/10.7294/25856260