Evaluation of radar-based precipitation estimates for flash flood forecasting in the Three Gorges Region
Spatial rainfall pattern plays a critical role in determining hydrological responses in mountainous areas, especially for natural disasters such as flash floods. In this study, to improve the skills of flood forecasting in the mountainous Three Gorges Region (TGR) of the Yangtze River, we developed...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-05-01
|
| Series: | Proceedings of the International Association of Hydrological Sciences |
| Online Access: | https://www.proc-iahs.net/368/89/2015/piahs-368-89-2015.pdf |
| _version_ | 1818555540175847424 |
|---|---|
| author | Z. Li D. Yang Y. Hong Y. Qi Q. Cao |
| author_facet | Z. Li D. Yang Y. Hong Y. Qi Q. Cao |
| author_sort | Z. Li |
| collection | DOAJ |
| description | Spatial rainfall pattern plays a critical role in determining hydrological responses in mountainous areas, especially for natural disasters such as flash floods. In this study, to improve the skills of flood forecasting in the mountainous Three Gorges Region (TGR) of the Yangtze River, we developed a first version of a high-resolution (1 km) radar-based quantitative precipitation estimation (QPE) consideration of many critical procedures, such as beam blockage analysis, ground-clutter filter, rain type identification and adaptive Z–R relations. A physically-based distributed hydrological model (GBHM) was established and further applied to evaluate the performance of radar-based QPE for regional flood forecasting, relative to the gauge-driven simulations. With two sets of input data (gauge and radar) collected during summer 2010, the applicability of the current radar-based QPE to rainstorm monitoring and flash flood forecasting in the TGR is quantitatively analysed and discussed. |
| first_indexed | 2024-12-12T09:54:47Z |
| format | Article |
| id | doaj.art-694f2c39206845c39fb03e0f32f89cc6 |
| institution | Directory Open Access Journal |
| issn | 2199-8981 2199-899X |
| language | English |
| last_indexed | 2024-12-12T09:54:47Z |
| publishDate | 2015-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Proceedings of the International Association of Hydrological Sciences |
| spelling | doaj.art-694f2c39206845c39fb03e0f32f89cc62022-12-22T00:28:09ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2015-05-01368899510.5194/piahs-368-89-2015Evaluation of radar-based precipitation estimates for flash flood forecasting in the Three Gorges RegionZ. Li0D. Yang1Y. Hong2Y. Qi3Q. Cao4Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Hydraulic Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73072, USACooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/OAR/National Severe Storms Laboratory, Norman, OK 73072, USAEnterprise Electronics Corporation, Norman, OK 73072, USASpatial rainfall pattern plays a critical role in determining hydrological responses in mountainous areas, especially for natural disasters such as flash floods. In this study, to improve the skills of flood forecasting in the mountainous Three Gorges Region (TGR) of the Yangtze River, we developed a first version of a high-resolution (1 km) radar-based quantitative precipitation estimation (QPE) consideration of many critical procedures, such as beam blockage analysis, ground-clutter filter, rain type identification and adaptive Z–R relations. A physically-based distributed hydrological model (GBHM) was established and further applied to evaluate the performance of radar-based QPE for regional flood forecasting, relative to the gauge-driven simulations. With two sets of input data (gauge and radar) collected during summer 2010, the applicability of the current radar-based QPE to rainstorm monitoring and flash flood forecasting in the TGR is quantitatively analysed and discussed.https://www.proc-iahs.net/368/89/2015/piahs-368-89-2015.pdf |
| spellingShingle | Z. Li D. Yang Y. Hong Y. Qi Q. Cao Evaluation of radar-based precipitation estimates for flash flood forecasting in the Three Gorges Region Proceedings of the International Association of Hydrological Sciences |
| title | Evaluation of radar-based precipitation estimates for flash flood forecasting in the Three Gorges Region |
| title_full | Evaluation of radar-based precipitation estimates for flash flood forecasting in the Three Gorges Region |
| title_fullStr | Evaluation of radar-based precipitation estimates for flash flood forecasting in the Three Gorges Region |
| title_full_unstemmed | Evaluation of radar-based precipitation estimates for flash flood forecasting in the Three Gorges Region |
| title_short | Evaluation of radar-based precipitation estimates for flash flood forecasting in the Three Gorges Region |
| title_sort | evaluation of radar based precipitation estimates for flash flood forecasting in the three gorges region |
| url | https://www.proc-iahs.net/368/89/2015/piahs-368-89-2015.pdf |
| work_keys_str_mv | AT zli evaluationofradarbasedprecipitationestimatesforflashfloodforecastinginthethreegorgesregion AT dyang evaluationofradarbasedprecipitationestimatesforflashfloodforecastinginthethreegorgesregion AT yhong evaluationofradarbasedprecipitationestimatesforflashfloodforecastinginthethreegorgesregion AT yqi evaluationofradarbasedprecipitationestimatesforflashfloodforecastinginthethreegorgesregion AT qcao evaluationofradarbasedprecipitationestimatesforflashfloodforecastinginthethreegorgesregion |