# Studies of General Precipitation Features with TRMM PR Data: An Extensive Overview
## 6 Conclusions and Prospects
### Summary of Precipitation Studies of PR Data  
Precipitation measurements are fundamental to the understanding of weather and climate on the Earth. However, many countries are not equipped with high-quality instruments to continuously and accurately observe rainfall. In addition, 70% of the Earth's surface is covered by oceans where \begin{table}
\begin{tabular}{c c c c} \hline
**Reference** & **Period** & **Location** & **Products (Version) of PR** \\ \hline [PERSON] et al. (2018) & 1998–2012 & northeastern regions of India along with the adjoining area & 3B42 (version7) \\ [PERSON] et al. (2019) & 1998–2010 & tropical Atlantic & 2A25 (version7) \\ [PERSON] et al. (2015) & Sep. 2001 to Aug. 2012 & tropics & 2A25 (version7) \\ [PERSON] et al. (2014) & Nov. to Mar. of & & \\ [PERSON] et al. (2014) & 1998–2011 & East Mediterranean & 2A25 (version7) \\ [PERSON] et al. (2017) & 1998–2013 & tropics & 2A25 (version7) \\ [PERSON] et al. (2014) & 1998–2013 & tropics & 2A23 and 2A25 \\ [PERSON] et al. (2015) & 1998–2007 & tropical and subtropical & 2A25 \\ [PERSON] (2011) & 2001–2010 & India & 2A25 (version6) \\ [PERSON] (2014) & 2001–2010 & India & 2A25 (version6) \\ [PERSON] et al. (2013) & Apr. to Jun. of 1998–2006 & South China Sea & 2A25 \\ [PERSON] and [PERSON] (2012) & 1998–2003 & tropics & the University of Utah precipitation feature database \\ [PERSON] and [PERSON] (2014) & 1998–2006 & tropics & the University of Utah precipitation feature database \\ [PERSON] and [PERSON] (2016) & Jan. 1998 to Jul. 2007 & the Mediterranean Region & 3B42 and 2A25 \\ [PERSON] et al. (2017) & 2000–2011 & the Mediterranean basin & 3B42 \\ [PERSON] et al. (2015) & 1998–2000 & tropics & the University of Utah precipitation feature database (version6) \\ [PERSON] et al. (2015) & 2011–2015 & South Africa & 2A23 (version7) \\ [PERSON] et al. (2015) & Dec. to Mar. of & Amazon basin and subtropical & 2A25 \\ [PERSON] et al. (2015) & 1997–2000 & South America & 2A25 \\ [PERSON] and [PERSON] (2014) & Jun. to Sep. of 1998–2010 & Indian summer monsoon & 3A25 (version6) \\ [PERSON] et al. (2015) & 1998–2012 & Costa Rica & the University of Utah precipitation feature database \\ [PERSON] and [PERSON] (2015) & 1998–2000 & tropics & 2A23 and 2A25 (version5) \\ [PERSON] et al. (2014) & 1998–2013 & tropics & the TRMM tropical cyclone precipitation feature (TCPP) \\ [PERSON] et al. (2017) & Jul. and Aug. of & & \\ [PERSON] et al. (2017) & 1998–2010 & Southwestern United States & the University of Utah Precipitation feature database \\ [PERSON] et al. (2014) & 1998–2013 & Northwest Pacific & the TRMM tropical cyclone precipitation feature (TCPP) \\ [PERSON] and [PERSON] (2013) & Dec. 1997 to Dec. 2003 & tropics & 2A25 (version5) \\ [PERSON] et al. (2015) & Jun.and Jul. of 1998–2011 & Japan & 2A25 (version7) \\ [PERSON] et al. (2014) & 1998–2011 & tropics & the University of Utah precipitation feature database (version7) \\ \hline \end{tabular}
\end{table} 
Table 10: Key information of the studies on climate characteristics of rainfall from PR data. Figure 8: Location of identified overshooting precipitation features (PFs) at 20\({}^{\circ}\)N–20\({}^{\circ}\)S. The blue indicates overshooting distance greater than 2 km, and red indicates those greater than 3 km ([PERSON], 2014). there are not enough observation instruments. The space-borne radar provides a good way to observe continuously the precipitation in FOV with 3D views from a satellite platform. The Precipitation Radar on board the Tropical Rainfall Measuring Mission satellite, TRMM PR, had accumulated massive amount of data since the satellite was launched in late November 1997. Through cross validation studies, it was proved that PR had the ability to provide accurate enough data for understanding rainfall processes. The use of PR data in more quantitative applications was possible although the derived rainfall products seemed to overestimate or underestimate the rainfall amount to a small extent when compared to ground-based observations.