Evaluation of Extreme Rain Estimates in the TRMM/PR Standard Product Version 7 Using High-Temporal-Resolution Rain Gauge Datasets over Japan

Abstract

The Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) standard product version 7 (V7) is evaluated, particularly in terms of extreme event estimation, using rain gauge data of high-temporal-resolution over southern Japan. A 1-minute rain gauge dataset within PR's field-of-view (FOV) is desirable for the evaluation. However, such dataset included only one data match with near-surface rain rate estimates (NSR) higher than 50 mm h −1 (extreme NSR). By relaxing the spatial and temporal matchup conditions, several tens of matches with extreme NSR are obtained, and the bias ratio of extreme NSR to corresponding gauge value is calculated to range from +41% to +94%. Considering that the relaxed matchup conditions may exaggerate the positive bias, the conclusion can be made that extreme NSR has a positive bias of less than +50% in V7 and that estimates are largely reliable. A similar evaluation is performed for extreme NSR in the TRMM PR standard product version 6 (V6), which showed a bias ratio of greater than +100%. Many false extreme NSR are estimated in V6, but a large part of them are diminished in V7.(Citation: Seto, S., T. Iguchi, N. Utsumi, M. Kiguchi, and T. Oki, 2013: Evaluation of extreme rain estimates in the TRMM/PR standard product version 7 using high-temporal-resolution rain gauge datasets over Japan. SOLA, 9, 98−101,

Role of MJO in modulating rainfall characteristics observed over India in all seasons utilizing TRMM

“…TRMM 3B42 V7 has certain advantages over version 6 (V6) including an improved surface reference technique (SRT; Meneghini et al ., ), a revived, non‐uniform beam filling (NUBF) correction and modified attenuation characteristics for solid and melting layers (Seto et al ., ). TRMM‐3B42 V7 is shown to perform better than earlier version when evaluated for regions with a high‐density gauge network and for complex land surface and oceanic regions (Seto et al ., , ; Amitai et al ., ).…”

“…Previous research (Sahany et al, 2010;Varikoden et al, 2011Varikoden et al, , 2012 highlights its utility for studying diurnal and extreme rainfall characteristics over oceanic regions and for areas with complex terrain. TRMM 3B42 V7 has certain advantages over version 6 (V6) including an improved surface reference technique (SRT; Meneghini et al, 2004), a revived, non-uniform beam filling (NUBF) correction and modified attenuation characteristics for solid and melting layers (Seto et al, 2013). TRMM-3B42 V7 is shown to perform better than earlier version when evaluated for regions with a high-density gauge network and for complex land surface and oceanic regions (Seto et al, 2011(Seto et al, , 2013Amitai et al, 2012).…”

“…TRMM 3B42 V7 has certain advantages over version 6 (V6) including an improved surface reference technique (SRT; Meneghini et al, 2004), a revived, non-uniform beam filling (NUBF) correction and modified attenuation characteristics for solid and melting layers (Seto et al, 2013). TRMM-3B42 V7 is shown to perform better than earlier version when evaluated for regions with a high-density gauge network and for complex land surface and oceanic regions (Seto et al, 2011(Seto et al, , 2013Amitai et al, 2012). For the study period (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) daily 850-hPa (U850) and 200-hPa (U200) zonal winds were obtained from NCEP/NCAR reanalysis data (2.5 × 2.5 ∘ , Kalnay et al, 1996).…”

Evaluation of GPROF-SSMI/S rainfall estimates over land during the Brazilian CHUVA-VALE campaign

“…They concluded that V7 is considered superior over land areas due to improvements in the attenuation correction of the radar signal and a recalibrated Z-R equation for use over land areas, as well as a correction for non-uniform beam filling effects. However, despite the improvement in the estimated rainfall rates, especially for the underestimated over land rainfall, V7 still showed an underestimation for high rain rates (Seto et al, 2013;Kirstetter et al, 2013;Rasmussen et al, 2013), which is associated with non-uniform beam filling effects (Iguchi et al, 2009).…”

Analysis of precipitation extremes based on satellite (CHIRPS) and in situ dataset over Cyprus

“…However, they stated that the application of satellitederived precipitation in detecting extremes merits a great deal of research. Seto et al (2013) discussed on the use of Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) standard product (version 7) for studying extreme events estimation, using also rain gauge data of high temporal resolution over southern Japan. They concluded that, in order to evaluate the PR's rain estimates using rain gauge data, differences in spatial scale and sampling height between the two measurements should be considered carefully.…”