Honors & Awards

  • NASA Earth and Space Science Fellow, Scripps Institution of Oceanography, University of California San Diego (2018-2021)

Professional Education

  • Doctor of Philosophy, University of California San Diego (2021)
  • Bachelor of Science, University of Texas Austin (2014)
  • Master of Science, University of California San Diego (2015)
  • Ph.D., Scripps Institution of Oceanography, University of California San Diego, Earth Science (2021)
  • B.S., Jackson School of Geosciences, University of Texas at Austin, Special Honors, Geophysics (2014)

Stanford Advisors

All Publications

  • Fusion of Spatially Heterogeneous GNSS and InSAR Deformation Data Using a Multiresolution Segmentation Algorithm and Its Application in the Inversion of Slip Distribution REMOTE SENSING Yan, H., Dai, W., Liu, H., Gao, H., Neely, W. R., Xu, W. 2022; 14 (14)

    View details for DOI 10.3390/rs14143293

    View details for Web of Science ID 000833132500001

  • The 2011-2019 Long Valley Caldera inflation: New insights from separation of superimposed geodetic signals and 3D modeling EARTH AND PLANETARY SCIENCE LETTERS Silverii, F., Pulvirenti, F., Montgomery-Brown, E. K., Borsa, A. A., Neely, W. R. 2021; 569
  • Characterization of Groundwater Recharge and Flow in California's San Joaquin Valley From InSAR-Observed Surface Deformation WATER RESOURCES RESEARCH Neely, W. R., Borsa, A. A., Burney, J. A., Levy, M. C., Silverii, F., Sneed, M. 2021; 57 (4): e2020WR028451


    Surface deformation in California's Central Valley (CV) has long been linked to changes in groundwater storage. Recent advances in remote sensing have enabled the mapping of CV deformation and associated changes in groundwater resources at increasingly higher spatiotemporal resolution. Here, we use interferometric synthetic aperture radar (InSAR) from the Sentinel-1 missions, augmented by continuous Global Positioning System (cGPS) positioning, to characterize the surface deformation of the San Joaquin Valley (SJV, southern two-thirds of the CV) for consecutive dry (2016) and wet (2017) water years. We separate trends and seasonal oscillations in deformation time series and interpret them in the context of surface and groundwater hydrology. We find that subsidence rates in 2016 (mean -42.0 mm/yr; peak -345 mm/yr) are twice that in 2017 (mean -20.4 mm/yr; peak -177 mm/yr), consistent with increased groundwater pumping in 2016 to offset the loss of surface-water deliveries. Locations of greatest subsidence migrated outwards from the valley axis in the wetter 2017 water year, possibly reflecting a surplus of surface-water supplies in the lowest portions of the SJV. Patterns in the amplitude of seasonal deformation and the timing of peak seasonal uplift reveal entry points and potential pathways for groundwater recharge into the SJV and subsequent groundwater flow within the aquifer. This study provides novel insight into the SJV aquifer system that can be used to constrain groundwater flow and subsidence models, which has relevance to groundwater management in the context of California's 2014 Sustainable Groundwater Management Act (SGMA).

    View details for DOI 10.1029/2020WR028451

    View details for Web of Science ID 000644063800033

    View details for PubMedID 33867591

    View details for PubMedCentralID PMC8047915

  • Fine-scale spatiotemporal variation in subsidence across California's San Joaquin Valley explained by groundwater demand ENVIRONMENTAL RESEARCH LETTERS Levy, M. C., Neely, W. R., Borsa, A. A., Burney, J. A. 2020; 15 (10)
  • GInSAR: A cGPS Correction for Enhanced InSAR Time Series IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Neely, W. R., Borsa, A. A., Silverii, F. 2020; 58 (1): 136-146