Comparison of IMERG Level-3 and TMPA 3B42V7 in Estimating Typhoon-Related Heavy Rain
Autor: | Ren Wang, Jianyao Chen, Xianwei Wang |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
010504 meteorology & atmospheric sciences
Meteorology 0208 environmental biotechnology Geography Planning and Development Relative bias Storm 02 engineering and technology Aquatic Science 01 natural sciences Biochemistry 020801 environmental engineering IMERG final run TMPA 3B42V7 typhoon heavy rain coastal region of China Climatology Satellite data Typhoon Range (statistics) Environmental science Precipitation analysis Satellite Global Precipitation Measurement 0105 earth and related environmental sciences Water Science and Technology |
Zdroj: | Water; Volume 9; Issue 4; Pages: 276 |
ISSN: | 2073-4441 |
DOI: | 10.3390/w9040276 |
Popis: | Typhoon-related heavy rain has unique structures in both time and space, and use of satellite-retrieved products to delineate the structure of heavy rain is especially meaningful for early warning systems and disaster management. This study compares two newly-released satellite products from the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG final run) and the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA 3B42V7) with daily rainfall observed by ground rain gauges. The comparison is implemented for eight typhoons over the coastal region of China for a two-year period from 2014 to 2015. The results show that all correlation coefficients (CCs) of both IMERG and TMPA for the investigated typhoon events are significant at the 0.01 level, but they tend to underestimate the heavy rainfall, especially around the storm center. The IMERG final run exhibits an overall better performance than TMPA 3B42V7. It is also shown that both products have a better applicability (i.e., a smaller absolute relative bias) when rain intensities are within 20–40 and 80–100 mm/day than those of 40–80 mm/day and larger than 100 mm/day. In space, they generally have the best applicability within the range of 50–100 km away from typhoon tracks, and have the worst applicability beyond the 300-km range. The results are beneficial to understand the errors of satellite data in operational applications, such as storm monitoring and hydrological modeling. |
Databáze: | OpenAIRE |
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