Abstract
A coupled water and energy balance model operating within a topographic framework is used to predict surface soil moisture for both bare and vegetated areas. In the first model run, the hydrological model is initialized using a standard baseflow approach, while in the second model run, soil moisture values derived from SIR-C radar data are used for initialization. The results, which compare favorably with ground measurements, demonstrate the utility of combining radar-derived surface soil moisture information with basin-scale hydrological modeling.
| Original language | English (US) |
|---|---|
| Pages | 1266-1268 |
| Number of pages | 3 |
| State | Published - 1997 |
| Event | Proceedings of the 1997 IEEE International Geoscience and Remote Sensing Symposium, IGARSS'97. Part 3 (of 4) - Singapore, Singapore Duration: Aug 3 1997 → Aug 8 1997 |
Other
| Other | Proceedings of the 1997 IEEE International Geoscience and Remote Sensing Symposium, IGARSS'97. Part 3 (of 4) |
|---|---|
| City | Singapore, Singapore |
| Period | 8/3/97 → 8/8/97 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- General Earth and Planetary Sciences
Fingerprint
Dive into the research topics of 'Examination of soil moisture retrieval using SIR-C radar data and a distributed hydrological model'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver