Abstract
The applicability of Tropical Rainfall Measuring Mission (TRMM3B42V7) precipitation data in the region was evaluated using the measured daily precipitation data in 16 hydrological stations in Shaanxi Province from 1998 to 2014. The evaluation process with several statistical error metrics was applied to daily, monthly, and annual timescale. The results show that the satellite and gauge stations show good consistency for monthly and annual timescale, but rather worse accuracy of daily timescale. All timescales produced the overestimated result of average precipitation measurement. The spatially statistical distribution shows a slight correlation between the observation and satellite estimation, especially at the higher elevation area such as Taibai. The TRMM precipitation value is closer to the gauge station precipitation value at a place with lower elevation, whether the timescale is daily, monthly or annual. At the same time, the smaller timescale leads to closer relations between elevation and metrics. The research results are important value of the research study of meteorological process in the Qinba mountain area.
Highlights
Capturing accurate spatial and temporal patterns of precipitation is the key variable factor for supporting and analyzing the global water cycle system for water resources development, disaster prevention, and water security in tropical mountains [1] [2] [3]
In the study of extreme precipitation, Tropical Rainfall Measurement Mission (TRMM) 3B42 product was evaluated in southern IRAN, and the findings prove the ability of TRMM 3B42 product can capture the spatiotemporal interaction of many extreme indices
Mean bias error (MBE) of TRMM shows error values of 0.21 mm, 6.40 mm, and 76.81 mm for both daily, monthly and annual. Both timescales produced the overestimated result of average precipitation measurement which confirms by Root Mean Square Error (RMSE) value of 9.97 mm, 33.63 mm for daily, monthly, and 134.44 for annual timescale
Summary
Capturing accurate spatial and temporal patterns of precipitation is the key variable factor for supporting and analyzing the global water cycle system for water resources development, disaster prevention, and water security in tropical mountains [1] [2] [3]. Plentiful experiences of NASA on launching the remotely sensed precipitation products claimed that TRMM (Tropical Rainfall Measuring Mission) has been matured enough for research study. In the northern region of the Himalayan mountain range, the validation of TRMM against observation found that climate and topographical condition are the main factors that affected the bias of precipitation estimation [13]. One study used monthly and seasonal timescale of TRMM 3B42V7 to validate over Columbia explained that error characteristics identified limitations of satellite precipitation products and compose a warning about complex and physiographic climatic pattern established on satellite precipitation missions [15]. Precipitation intensity and climatic condition are the variables on which error characteristics of satellite precipitation depend [17]
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