Name
Title | ||
|---|---|---|
Evaluating IMERG V04 Final Run for Monitoring Three Heavy Rain Events Over Mainland China in 2016. |
Abstract | ||
|---|---|---|
Predicting and monitoring the spatiotemporal characteristics of heavy rain events are important to hazard preparedness, mitigation efforts, and local water resource management. Using three data sets, namely, the daily rain product from the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) version 04 Final Run, the daily output from European Centre for Medium-Range ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LGRS.2018.2793897 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Rain,Monitoring,Spatiotemporal phenomena,Hazards,Geophysical measurements,Spatial resolution | Meteorology,Data set,Global Precipitation Measurement,Statistic,Remote sensing,Mainland China,Mathematics,Precipitation | Journal |
Volume | Issue | ISSN |
15 | 3 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoli Su | 1 | 1 | 1.98 |
| C. K. Shum | 2 | 38 | 17.71 |
| luo | 3 | 8 | 3.55 |