Statistical and Hydrological Comparisons between TRMM and GPM Level-3 Products over a Midlatitude Basin: Is Day-1 IMERG a Good Successor for TMPA 3B42V7?

• Published in: Journal of hydrometeorology 2016-01, Vol.17 (1), p.121-137
• Main Authors: Tang, Guoqiang, Zeng, Ziyue, Long, Di, Guo, Xiaolin, Yong, Bin, Zhang, Weihua, Hong, Yang
• Format: Article
• Language: English
• Subjects: Atmospheric precipitations; Civil engineering; Corrections; Data; Datasets; Digits; Estimates; Freshwater; Global precipitation; Hydraulic engineering; Hydrologic cycle; Hydrologic models; Hydrology; Laboratories; Latitude; Neural networks; Observatories; Precipitation; Products; Rain; Rainfall; Rainy season; River basins; Rivers; Sensors; Storage; Studies; Tropical climate; Tropical rainfall; Tropical Rainfall Measuring Mission (TRMM); Wet season
• ISSN: 1525-755X; 1525-7541
• DOI: 10.1175/JHM-D-15-0059.1

The goal of this study is to quantitatively intercompare the standard products of the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) and its successor, the Global Precipitation Measurement (GPM) mission Integrated Multisatellite Retrievals for GPM (IMERG), with a dense gauge network over the midlatitude Ganjiang River basin in southeast China. In general, direct comparisons of the TMPA 3B42V7, 3B42RT, and GPM Day-1 IMERG estimates with gauge observations over an extended period of the rainy season (from May through September 2014) at 0.25° and daily resolutions show that all three products demonstrate similarly acceptable (~0.63) and high (0.87) correlation at grid and basin scales, respectively, although 3B42RT shows much higher overestimation. Both of the post-real-time corrections effectively reduce the bias of Day-1 IMERG and 3B42V7 to single digits of underestimation from 20+% overestimation of 3B42RT. The Taylor diagram shows that Day-1 IMERG and 3B42V7 are comparable at grid and basin scales. Hydrologic assessment with the Coupled Routing and Excess Storage (CREST) hydrologic model indicates that the Day-1 IMERG product performs comparably to gauge reference data. In many cases, the IMERG product outperforms TMPA standard products, suggesting a promising prospect of hydrologic utility and a desirable hydrologic continuity from TRMM-era product heritages to GPM-era IMERG products. Overall, this early study highlights that the Day-1 IMERG product can adequately substitute TMPA products both statistically and hydrologically, even with its limited data availability to date, in this well-gauged midlatitude basin. As more IMERG data are released, more studies to explore the potential of GPM-era IMERG in water, weather, and climate research are urgently needed.