Projects per year
Description
These data sets are the input and the outputs of ConBay and MCMC-DA approach to merge GRACE/GRACE-FO TWSC, SMAP and W3RA within the High Plain aquifer, between 2015-2021. The article to describe the approach can be cited as:
Mehrnegar, N., Schumacher, M., Jagdhuber, T., & Forootan, E. (2023). Making the best use of GRACE, GRACE-FO and SMAP data through a Constrained Bayesian data-model integration. Water Resources Research, 59, e2023WR034544. https://doi.org/10.1029/2023WR034544
Mehrnegar, N., Schumacher, M., Jagdhuber, T., & Forootan, E. (2023). Making the best use of GRACE, GRACE-FO and SMAP data through a Constrained Bayesian data-model integration. Water Resources Research, 59, e2023WR034544. https://doi.org/10.1029/2023WR034544
| Date made available | 24 Jul 2023 |
|---|---|
| Publisher | Figshare |
| Geographical coverage | USA, High Plains Aquifer |
Emneord
- TWS
- Water Storage
- GRACE
- GRACE-FO
- SMAP
- Groundwater
- Soil moisture
- Hydrology
- Bayesian
Projects
- 2 Active
-
MuSe-BDA: Multi-Sensor Bayesian Data Assimilation for Large-Scale Drought Monitoring System (MuSe-BDA)
Forootan, E. (PI) & Mehrnegar, N. (PI)
08/09/2022 → 15/07/2025
Project: Research
-
DANSk-LSM: Developing efficient multi-sensor Data Assimilation frameworks for integrating Earth ObservatioN Satellite data into Land Surface Models (DANSk-LSM)
Forootan, E. (PI), Schumacher, M. (CoI), Yang, F. (Project Participant) & Retegui-Schiettekatte, L. (Project Participant)
01/09/2022 → 31/08/2026
Project: Research
Research output
- 1 Journal article
-
Making the Best Use of GRACE, GRACE-FO and SMAP Data Through a Constrained Bayesian Data-Model Integration
Mehrnegar, N., Schumacher, M., Jagdhuber, T. & Forootan, E., Sept 2023, In: Water Resources Research. 59, 9, 22 p., e2023WR034544.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Citations (Scopus)55 Downloads (Pure)