Error-Component Analysis of TRMM-Based Multi-Satellite Precipitation Estimates over Mainland China

Yong, Bin; Chen, Bo; Tian, Yudong; Yu, Zhongbo; Hong, Yang

doi:10.3390/rs8050440

Cited by 60 publications

(37 citation statements)

References 45 publications

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“…The Tibetan Plateau, known as "the third pole of the world" [30], with average altitudes above 4500 m, is the origin of the Yangtze River. Based on the average annual precipitation and the effects of complex terrains, the whole basin can be classified into three different climate zones of a semi-arid climate district, semi-humid climate district and humid climate district [31]. According to the location of key hydrological stations of Yichang and Hukou in the main Yangtze River, the whole basin can be divided into three parts ( Figure 1).…”

Section: Study Areamentioning

confidence: 99%

Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products in the Yangtze River Basin, China

Zhang

Huang

et al. 2019

Water

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The purpose of this study is to quantitatively evaluate the accuracy of the GPM IMERG v5 and the TRMM 3B42 v7, with the reference of 224 rain gauge stations over the Yangtze River basin in China from April 2014 to December 2017. The results showed that: (1) The changing pattern of IMERG v5 was similar to the 3B42 v7, and higher correlations can be found between the satellite-based precipitation products (SPPs) and observed precipitation for the monthly and annual time scale; (2) the IMERG v5 tended to overestimate the distribution range of the main rain band while the 3B42 v7 underestimated the precipitation in Sichuan basin, and the largest differences were found for the precipitation less than 1 mm/d for two SPPs; (3) both of the IMERG v5 and 3B42 v7 overestimated the precipitation in the lower elevation areas (<3000 m), while the opposite was true for areas ≥ 3000 m (RB IMERG v5 = −5.42%, RB 3B42 v7 = −1.87%), and the retrieved results of P PDFc index and average precipitation at different altitudes for IMERG v5 were better than 3B42 v7. This study highlighted that IMERG v5 performed generally better than 3B42 v7 in detecting precipitation, especially light precipitation in the Yangtze River basin, indicating the great potential utility in hydrological applications. However, its poor skills when retrieving data for high precipitation events and for detecting complex terrain environments remains, leaving room for IMERG v5 to improve its inversion algorithm.

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Section: Study Areamentioning

confidence: 99%

Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products in the Yangtze River Basin, China

Zhang

Huang

et al. 2019

Water

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“…Among them, the TMPA products, especially the latest Version 7 (V7), are regarded as the most reliable and extensively used products in the TRMM era over most parts of world (Dinku et al, 2008;Gao et al, 2017;Qin et al, 2014;F Su et al, 2008;J Su et al, 2017;H Yang et al, 2007;Yong et al, 2015). Over Mainland China, Yong et al (2016) focused on evaluating both near-realtime and post-real-time TMPA by an improved error-component analysis procedure and suggested that the error components in TMPA exhibited rather strong regional and seasonal differences over diverse climate regimes. Shen et al (2010) assessed six high-resolution SPEs over China and pointed out that all of six SPEs could capture the overall spatial distribution and temporal variations of precipitation reasonably well while CMORPH demonstrated a slightly better accuracy than TMPA.…”

Section: Introductionmentioning

confidence: 99%

The Assessment and Comparison of TMPA and IMERG Products Over the Major Basins of Mainland China

Lü

Ryu

et al. 2019

Earth and Space Science

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The Integrated Multi-satellitE Retrievals for Global Precipitation Measurement mission (IMERG) aims to deliver the "best" precipitation estimation from space and has attracted much attention. The Version 05 of IMERG products including the near-real-time "Early" and "Late" run products (IMERG-E and IMERG-L, respectively), and the post-real-time "Final" run IMERG product (IMERG-F) are assessed at both national and basin scales against gauge observations over Mainland China for a 4-year period (from April 2014 to March 2018). As control products for comparison, their predecessor Tropical Rainfall Measurement Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) products (i.e., TMPA-RT and TMPA-V7) are also employed. Components analysis confirms the best performance of IMERG-F among the five SPEs in three different categories. All five SPEs feature increasing bias and root mean square difference (RMSD) with increasing daily gauge total precipitation, and such issue is less pronounced for IMERG-F-as evidenced by the lowest bias and RMSD across all precipitation rates. Besides, compared to TMPA, IMERG products exhibit better accuracy in detecting real precipitation evens, especially for light-to-medium rain (<60 mm/day), but they do not demonstrate significant improvement in the assessment of severe over/underestimation. In the basin-scale comparison, all five SPEs catch the key variation feature of basin-averaged precipitation time series (except TMPA-RT over Continental River Basin). Overall, IMERG-F demonstrates the best performance over all nine basins despite the slight overestimation, followed by TMPA-V7. IMERG-E and IMERG-L show performance close to or even better than TMPA-V7 in terms of the correlation coefficient and RMSD.

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“…The error decomposition method used to evaluate the error components of satellite precipitation estimates is first proposed by Tian et al [33,37]. This method breaks down the total precipitation error (total bias) into three independent parts: hits error ( ), missed precipitation (− ), and false precipitation ( ).…”

Section: Error Decompositionmentioning

confidence: 99%

Error Analysis and Evaluation of the Latest GSMap and IMERG Precipitation Products over Eastern China

Ning

Song

Udmale

et al. 2017

Advances in Meteorology

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The present study comprehensively analyzes error characteristics and performance of the two latest GPM-era satellite precipitation products over eastern China from April 2014 to March 2016. Analysis results indicate that the two products have totally different spatial distributions of total bias. Many of the underestimations for the GSMap-gauged could be traced to significant hit bias, with a secondary contribution from missed precipitation. For IMERG, total bias illustrates significant overestimation over most of the eastern part of China, except upper reaches of Yangtze and Yellow River basins. GSMap-gauged tends to overestimate light precipitation (<16 mm/day) and underestimate precipitation with rain rate larger than 16 mm/day; however, IMERG underestimates precipitation at rain rate between 8 and 64 mm/day and overestimates precipitation at rain rate more than 64 mm/day. IMERG overestimates extreme precipitation indices (RR99P and R20TOT), with relative bias values of 17.9% and 11.5%, respectively. But GSMap-gauged shows significant underestimation of these indices. In addition, both products performed well in the Huaihe, Liaohe, and Yangtze River basins for extreme precipitation detection. At basin scale comparisons, the GSMap-gauged data has a relatively higher accuracy than IMERG, especially at the Haihe, Huaihe, Liaohe, and Yellow River basins.

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Error-Component Analysis of TRMM-Based Multi-Satellite Precipitation Estimates over Mainland China

Cited by 60 publications

References 45 publications

Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products in the Yangtze River Basin, China

Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products in the Yangtze River Basin, China

The Assessment and Comparison of TMPA and IMERG Products Over the Major Basins of Mainland China

Error Analysis and Evaluation of the Latest GSMap and IMERG Precipitation Products over Eastern China

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