Name
Abstract | ||
|---|---|---|
Drought has a profound impact on agricultural, industrial and municipal water use as well as the eco-system. Thus, it is essential to have a monitoring system that detects various types of drought including that in groundwater which is often the only source of fresh water in many parts of the world. Due to lack of monitoring networks, model estimates provide a useful alternative for drought monitoring but they are also subject to uncertainties in model physics and errors in the atmospheric forcing fields used to drive the model. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729727 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Field | DocType | ISSN |
Data modeling,Groundwater,Computer science,Remote sensing,Atmospheric model,Agriculture,Forcing (mathematics),Data assimilation,Water content,Water use | Conference | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bailing Li | 1 | 0 | 0.34 |
| Matthew Rodell | 2 | 1 | 2.05 |