Susanna Werth
flowchart A[Susanna Werth] AC["Associated Concepts (25)"] AW["Authored Works (13)"] CA["Linked Co-Authors (11)"] CI["Linked Collaborating Institutions (8)"] A== dcterms:relation ==>AC AW== author ==>A AW== author ==>CA AW== affil ==>CI click AC "#associated-concepts" click AW "#authored-works" click CA "#co-authors" click CI "#collaborating-institutions" NI["add incoming edge"] NO["add outgoing edge"] NI-- ? -->A A-- ? -->NO click NI "#add-incoming-edge" click NO "#add-outgoing-edge" style NI stroke-width:2px,stroke-dasharray: 5 5 style NO stroke-width:2px,stroke-dasharray: 5 5
- ORCiD
- https://orcid.org/0000-0002-4144-0382
- OpenAlex ID
- https://openalex.org/A5045259725 (API record)
Associated Concepts [?]
- Geology
- Engineering
- Geography
- Physics
- Geotechnical engineering
- Environmental science
- Hydrology (agriculture)
- Geomorphology
- Biology
- Quantum mechanics
- Groundwater
- Astronomy
- Remote sensing
- Oceanography
- Computer science
- Paleontology
- Mechanical engineering
- Ecology
- Aquifer
- Cartography
- Structural basin
- Optics
- Computer vision
- Artificial intelligence
- Meteorology
Authored Works
sorted by decreasing year, and then by display-name
- Quantifying the Terrestrial Water Storage Loss in California During the Most Recent Drought Using GPS and Its Evaluation with GRACE-FO, InSAR and Hydrometeorological Data
- Quantifying subsidence damage risk to infrastructures in 25 most populous U.S. cities from the space
- Mapping Water Storage Loss During the Most Recent California Drought Using InSAR, GNSS, and GRACE-FO
- Lake Mead Interaction with Nearby Aquifer System: Evidence from Surface Deformation and Mechanical Models
- How Important is High Sierra Nevada Snowpack for Recharging the Central Valley Aquifers?
- Groundwater Depletion in the Santa Clara Valley over the Most Recent California Drought (2019-) Inferred from InSAR Deformation Time series
- Contemporary subsidence rate at U.S. major aquifers systems from big InSAR data
- Reconstruction of GRACE-like terrestrial water storage from hydro-climate data using deep learning neural networks
- Predicting and Validating Integrated Water Vapor from SAR Interferometric Analysis of Sentinel-1 Data over Kerala, India
- Observing transient, rapid mass changes in the Earth system with GRACE Follow-On laser ranging measurements
- Improved spatiotemporal resolution of terrestrial water storage change in California through joint inversion of GNSS and GRACE observations
- Constraining the Dynamics of Groundwater Loss in Mexico City from Sentinel and GRACE Observations
- Association between Changes in Glacier Mass and Climate Seasonality Revealed from GRACE/FO in High Mountain Asia.
Linked Co-Authors
- Amir Salaree
- D. N. Wiese
- Grace Carlson
- Guang Zhai
- Henryk Dobslaw
- Jeanne Sauber
- Khosro Ghobadi‐Far
- Leonard O. Ohenhen
- M. Shirzaei
- Mohammad Khorrami
- Shin‐Chan Han
Linked Collaborating Institutions
- Australian National University, Canberra
- Helmholtz Center for Geosciences, Potsdam
- Jet Propulsion Laboratory
- NASA Goddard Space Flight Center, Maryland
- Northwestern University
- University of Michigan
- University of Newcastle, Australia
- Virginia Polytechnic Institute and State University
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