Abstract
This chapter evaluates the added skill of river discharge due to assimilation of satellite soil moisture compared to the open-loop (without data assimilation) simulation. It aims at answering the following scientific questions. How do active and passive microwave satellite soil moisture retrievals improve the river discharge when assimilated into rainfall-runoff model? How does the degree of discharge improvement differ between the surface and root-zone satellite soil moisture? Do the dual soil moisture state and the total channel inflow (TCI) updating of the Sacramento soil moisture accounting (SAC-SMA) model perform better than soil-moisture-only update? The chapter presents the study area, hydrologic model, and description of satellite soil moisture retrievals. It describes data matching and data assimilation method, and outlines the results. The chapter concludes that all the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) and Advanced SCATterometer (ASCAT) data sets considered improved the river discharge compared to open loop.
| Original language | English |
|---|---|
| Title of host publication | Remote Sensing of the Terrestrial Water Cycle |
| Publisher | Wiley-Blackwell |
| Pages | 319-329 |
| Number of pages | 11 |
| Volume | 9781118872031 |
| ISBN (Electronic) | 9781118872086 |
| ISBN (Print) | 9781118872031 |
| DOIs | |
| State | Published - Dec 8 2014 |
Keywords
- Data assimilation method
- Data matching method
- River discharge
- Sacramento soil moisture accounting (SAC-SMA) model
- Satellite soil moisture retrievals
- Total channel inflow (TCI)
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