Sparse region rainfall estimation fusion method based on dual-smoothing method
A technology of fusion method and smoothing method, which can be used in computing, special data processing applications, instruments, etc., and can solve the problems of unsatisfactory research on meteorological or hydrological heterogeneity, delay, and high global coverage of time sampling frequency.
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[0037] Below in conjunction with embodiment the present invention will be further described.
[0038] In this experiment, precipitation data from rain gauges and TRMM satellite precipitation data in my country were selected. Firstly, the residual field D(S i ), and then obtain rasterized pseudo-data by formula (5) Then expand the residual field D(S i ) and rasterized dummy data The composed data set is estimated by formula (6) to get the background error field Finally, the resulting background field X B (S i ) and the background error field The estimated field X is obtained by formula (4) M (S i ), this process is as figure 1 shown.
[0039]There are a total of 839 automatic weather stations across the country, and the time period of this data file is from 2005 to 2010. Due to the complex terrain in my country and the uneven distribution of automatic weather station rain gauge networks, the overall distribution characteristics are dense in the east and sparse in...
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