Evaluation of Near-Real-Time GSMaP precipitation estimate over Yankul region, Sultanate of Oman
Global precipitation data is very important for climate change research, and real-time precipitation estimates derived from satellites are attractive for a wide range of applications, such as extreme precipitation monitoring and natural hazard warning. The precipitation in the rain gauge represents...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2022-01-01
|
| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/14/e3sconf_iccee2022_04009.pdf |
| Summary: | Global precipitation data is very important for climate change research, and real-time precipitation estimates derived from satellites are attractive for a wide range of applications, such as extreme precipitation monitoring and natural hazard warning. The precipitation in the rain gauge represents the point distribution of the precipitation, which would lead to inaccurate results when calculating the average precipitation in a region with statistical methods. This document verifies the satellite-based precipitation data GSMaP_NRT with the precipitation amounts measured in the Yankul region of Oman. The results showed that the GSMaP_NRT precipitation data have high precision and a good correlation with the precipitation observed in the region. Furthermore, the results of these analyzes indicate that the GSMaP_NRT data have lower values than the observed data and can be significantly underestimated with heavy rains. |
|---|---|
| ISSN: | 2267-1242 |