Similarity and difference of the two successive V6 and V7 TRMM multisatellite precipitation analysis performance over China

Abstract

[1] Similarities and differences of spatial error structures of surface precipitation estimated with successive version 6 (V6) and version 7 (V7) Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) algorithms are systematically analyzed through comparison with the China Meteorological Administration's national daily precipitation analysis from June 2008 to May 2011. The TMPA products include V6 and V7 real-time products 3B42RTV6 and 3B42RTV7 and research products 3B42V6 and 3B42V7. Both versions of research products outperform their respective real-time counterparts. 3B42V7 clearly improves upon 3B42V6 over China in terms of daily mean precipitation; the correlation coefficient (CC) increases from 0.89 to 0.93, the relative bias (RB) improves from À4.91% to À0.05%, and the root-mean-square error (RMSE) improves from 0.69 mm to 0.54 mm. When considering 3 year mean precipitation, 3B42V7 shows similar spatial patterns and statistical performance to 3B42V6. Both 3B42RTV7 and 3B42RTV6 demonstrate similar bias patterns in most regions of China with overestimation by 20% in arid regions (i.e., the north and west of China) and slight underestimation in humid regions (e.g., À5.82% in southern China). However, 3B42RTV7 overestimates precipitation more than 3B42RTV6 in the cold Qinghai-Tibetan plateau, resulting in a much higher RB of 139.95% (128.69%, 136.09%, and 121.11%) in terms of 3 year annual (spring, summer, and autumn) daily mean precipitation and an even worse performance during winter. In this region, 3B42RTV7 shows an overall slightly degraded performance than 3B42RTV6 with CC decreasing from 0.81 to 0.73 and RB (RMSE) increasing from 21.22% (0.95 mm) to 35.84% (1.27 mm) in terms of daily precipitation. Citation: Chen, S., et al. (2013), Similarity and difference of the two successive V6 and V7 TRMM multisatellite precipitation analysis performance over China,

Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations

“…However, Chen et al (2013a) found the false alarm ratios of TRMM3B42 and TRMM3B42RT to increase with an increase in rainfall intensity. The differences are attributed mainly to observed data.…”

“…Several studies have been carried out to analyse the uncertainty of TRMM in high-latitude regions (Yong et al, 2010(Yong et al, , 2014Chen et al, 2013a;Zhao and Yatagai, 2014), but studies in northeast China are few. Evaluation of GLDAS data has generally been limited to the United States and other observationrich regions of the world (Kato et al, 2007); assessments and applications in other regions are rare (Wang et al, 2011;Zhou et al, 2013).…”

“…These comparison criteria have been used by many studies (Ebert et al, 2007;Wang et al, 2011;Yong et al, 2012), so they are used in this study. Probability distributions by occurrence and volume are also analysed, which can provide us with the information on the frequency and on the product error dependence on precipitation intensity (Chen et al, 2013a, b). The critical success index (CSI), probability of detection (POD), and false alarm ratio (FAR) are used to quantify the ability of precipitation products to detect observed rainfall events.…”

“…The differences are attributed mainly to observed data. In the study of Chen et al (2013a), national rain gauge data were employed, whereas in this study more detailed basin data are used.…”

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

“…The current operational Version-7 TMPA system produces two standard user-level (Level 3) rainfall products at relatively fine resolution (0.25˝ˆ0.25˝, 3 h), i.e., the real-time 3B42RT (hereafter referred to as "RTV7"; 6-9 h after observation time) for the latitude band 60˝N-60˝S and the gauge-adjusted, post-real-time 3B42V7 for research purposes (hereafter "V7"; two months latency) with spatial coverage of 50˝N-50˝S [5,6]. Recently, these two quasi-global satellite precipitation products have been widely utilized in various hydrological and meteorological applications in China [7][8][9][10][11][12][13]. Over the years, there have been many efforts to compare and validate available satellite precipitation estimates at global, regional, or basin scales [9,10,[14][15][16][17][18][19][20][21][22][23][24][25].…”