Comparisons of Gauge, TMPA and IMERG Products for Monsoon and Tropical Cyclone Precipitation in Southern China
- 90 Downloads
The Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) and Integrated Multi-satellite Retrievals for Global Precipitation Measurement (GPM) Mission (IMERG) products are compared against 447 quality-controlled rain gauges in southern China (SC) during summer (May to August) for the period 2014–2016. The differences of TMPA and IMERG in measuring the monsoon and tropical cyclone (TC) precipitation, considering the mean spatial patterns, and rainfall intensities are evaluated quantitatively. Statistical analysis shows that IMERG has much higher correlations of precipitation frequency (PF) with gauge observations for monsoon and TC precipitation. However, both satellite-based products show much poorer capability in estimating conditional rainfall and PF for TC precipitation, especially for estimating large conditional rainfall in TC systems. The capability of capturing the precipitation events at different rainfall intensities decreases with the increase of rainfall threshold for both monsoon and TC precipitation. Generally, IMERG exhibits a superior ability to detect precipitation at different rainfall intensities than TMPA. In depicting the diurnal cycles, IMERG shows a much better performance in estimating rainfall and PF for monsoon precipitation than TMPA by revealing the comparable diurnal amplitudes to the rain gauges, whereas TMPA fails to accurately estimate the early morning rainfall and PF. As a successor to TMPA, IMERG is a reliable source of precipitation estimates for future studies on precipitation meteorology.
KeywordsIMERG TMPA monsoon precipitation TC precipitation
We are grateful to the NASA Goddard Space Flight Center’s Mesoscale Atmospheric Processes Laboratory and Precipitation Processing System (PPS) for providing the TMPA and IMERG data. The rain gauge data were provided by CMA. This work has been jointly supported by Natural Science Foundation of Anhui Province, China (Grant 1808085MD99), National Natural Science Foundation of China (Grant 41805023) and the Masters and Doctor Fund of Anhui Meteorological Bureau (Grant RC201701).
- Chen, Y., Ebert, E. E., Walsh, K. J., & Davidson, N. E. (2013). Evaluation of TMPA 3B42 daily precipitation estimates of tropical cyclone rainfall over Australia. Journal of Geophysical Research, 118(21), 11966–11978.Google Scholar
- Fu, Y., Chen, F., Liu, G., Yang, Y., Yuan, R., Li, R., et al. (2016). Recent trends of summer convective and stratiform precipitation in mid-eastern China. Scientific Reports, 5, 6.Google Scholar
- Huffman, G. J., Bolvin, D. T., Braithwaite, D., Hsu, K., Joyce, R., Xie, P., et al. (2014). NASA global precipitation measurement (GPM) integrated multi-satellite retrievals for GPM (IMERG). Algorithm Theoretical Basis Document (ATBD), NASA/GSFC, Greenbelt, MD, USA.Google Scholar
- Iguchi, T., Kozu, T., Kwiatkowski, J., Meneghini, R., Awaka, J., Okamoto, K., et al. (2009). Uncertainties in the Rain Profiling Algorithm for the TRMM Precipitation Radar (1. Precipitation Radar (PR), Precipitation Measurements from Space). Journal of the Meteorological Society of Japan, 87(3), 1–30.CrossRefGoogle Scholar
- Liu, P., & Fu, Y. (2010). Climatic characteristics of summer convective and stratiform precipitation in southern China based on measurements by TRMM precipitation radar. Chinese J Atmos Sci, 34, 802–814.Google Scholar