Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, China
NASA’s Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) is a major source of precipitation data, having a larger coverage, higher precision, and a higher spatiotemporal resolution than previous products, such as the Tropical Rainfall Measuring Mission (TRMM). Howeve...
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MDPI AG
2020-06-01
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author | Meihong Ma Huixiao Wang Pengfei Jia Guoqiang Tang Dacheng Wang Ziqiang Ma Haiming Yan |
author_facet | Meihong Ma Huixiao Wang Pengfei Jia Guoqiang Tang Dacheng Wang Ziqiang Ma Haiming Yan |
author_sort | Meihong Ma |
collection | DOAJ |
description | NASA’s Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) is a major source of precipitation data, having a larger coverage, higher precision, and a higher spatiotemporal resolution than previous products, such as the Tropical Rainfall Measuring Mission (TRMM). However, there rarely has been an application of IMERG products in flash flood warnings. Taking Yunnan Province as the typical study area, this study first evaluated the accuracy of the near-real-time IMERG Early run product (IMERG-E) and the post-real-time IMERG Final run product (IMERG-F) with a 6-hourly temporal resolution. Then the performance of the two products was analyzed with the improved Rainfall Triggering Index (RTI) in the flash flood warning. Results show that (1) IMERG-F presents acceptable accuracy over the study area, with a relatively high hourly correlation coefficient of 0.46 and relative bias of 23.33% on the grid, which performs better than IMERG-E; and (2) when the RTI model is calibrated with the gauge data, the IMERG-F results matched well with the gauge data, indicating that it is viable to use MERG-F in flash flood warnings. However, as the flash flood occurrence increases, both gauge and IMERG-F data capture fewer flash flood events, and IMERG-F overestimates actual precipitation. Nevertheless, IMERG-F can capture more flood events than IMERG-E and can contribute to improving the accuracy of the flash flood warnings in Yunnan Province and other flood-prone areas. |
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institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T19:06:13Z |
publishDate | 2020-06-01 |
publisher | MDPI AG |
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series | Remote Sensing |
spelling | doaj.art-850bf7dd73b04b9f85c75568086017302023-11-20T04:08:54ZengMDPI AGRemote Sensing2072-42922020-06-011212195410.3390/rs12121954Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, ChinaMeihong Ma0Huixiao Wang1Pengfei Jia2Guoqiang Tang3Dacheng Wang4Ziqiang Ma5Haiming Yan6College of Water Sciences, Beijing Normal University, Beijing 100875, ChinaCollege of Water Sciences, Beijing Normal University, Beijing 100875, ChinaCITIC Construction Co., Ltd., Beijing 100027, ChinaCenter for Hydrology, University of Saskatchewan, Saskatoon, SK S7N 1K2, CanadaLab of Spatial Information Integration, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaSchool of Earth and Space Sciences, Peking University, Beijing 100871, ChinaSchool of Land Resources and Urban & Rural Planning, Digital Territory Experiment Center, Hebei GEO University, Shijiazhuang 050031, ChinaNASA’s Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) is a major source of precipitation data, having a larger coverage, higher precision, and a higher spatiotemporal resolution than previous products, such as the Tropical Rainfall Measuring Mission (TRMM). However, there rarely has been an application of IMERG products in flash flood warnings. Taking Yunnan Province as the typical study area, this study first evaluated the accuracy of the near-real-time IMERG Early run product (IMERG-E) and the post-real-time IMERG Final run product (IMERG-F) with a 6-hourly temporal resolution. Then the performance of the two products was analyzed with the improved Rainfall Triggering Index (RTI) in the flash flood warning. Results show that (1) IMERG-F presents acceptable accuracy over the study area, with a relatively high hourly correlation coefficient of 0.46 and relative bias of 23.33% on the grid, which performs better than IMERG-E; and (2) when the RTI model is calibrated with the gauge data, the IMERG-F results matched well with the gauge data, indicating that it is viable to use MERG-F in flash flood warnings. However, as the flash flood occurrence increases, both gauge and IMERG-F data capture fewer flash flood events, and IMERG-F overestimates actual precipitation. Nevertheless, IMERG-F can capture more flood events than IMERG-E and can contribute to improving the accuracy of the flash flood warnings in Yunnan Province and other flood-prone areas.https://www.mdpi.com/2072-4292/12/12/1954flash floodIntegrated Multi-Satellite Retrievals for Global Precipitation MeasurementRainfall Triggering IndexYunnan |
spellingShingle | Meihong Ma Huixiao Wang Pengfei Jia Guoqiang Tang Dacheng Wang Ziqiang Ma Haiming Yan Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, China Remote Sensing flash flood Integrated Multi-Satellite Retrievals for Global Precipitation Measurement Rainfall Triggering Index Yunnan |
title | Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, China |
title_full | Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, China |
title_fullStr | Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, China |
title_full_unstemmed | Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, China |
title_short | Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, China |
title_sort | application of the gpm imerg products in flash flood warning a case study in yunnan china |
topic | flash flood Integrated Multi-Satellite Retrievals for Global Precipitation Measurement Rainfall Triggering Index Yunnan |
url | https://www.mdpi.com/2072-4292/12/12/1954 |
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