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Interactive comment on “Flood forecasting in large karst river basin by coupling PERSIANN CCS QPEs with a physically based distributed hydrological model” by Ji Li et al
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yuan, Daoxian Liu, Jiao Yue Jiang, Yongjun Chen, Yangbo |
| Copyright Year | 2018 |
| Abstract | This paper has two research elements. The first stage of the study involves in adopting the existing ‘Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) Cloud Classification System (CCS)’ (Hsu et al., 1999; Hoang et al., 2004) approach to estimate hourly precipitation at Liujiang river basin. The authors then compared the estimated precipitation with rain gauges and found that the distribution of precipitation generated from PERSIANN-CCS approach is similar, but quantity values are smaller. To make predicted rainfall from PERSIANN-CCS |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-438/hess-2018-438-RC1-print.pdf |
| Alternate Webpage(s) | https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-438/hess-2018-438-RC3-print.pdf |
| Alternate Webpage(s) | https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-438/hess-2018-438-RC2.pdf |
| Alternate Webpage(s) | https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-438/hess-2018-438-RC3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |