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A Fusion Method of Precipitation Estimation in Sparse Area Based on Double Smoothing Method

A technology of fusion method and smoothing method, applied in computing, special data processing applications, instruments, etc., can solve the problems of unsatisfactory research on meteorological or hydrological heterogeneity, delay, high global coverage of time sampling frequency, and achieve precipitation. Reasonable and effective value and spatial distribution, smooth visualization results, and accurate estimation of heavy precipitation

Inactive Publication Date: 2018-05-04
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

At present, TMPA (Real-time 3-hour TRMM Multi-satellite Precipitation Analysis) has been directly applied to many hydrometeorological studies, however, the spatial resolution of TMPA is not ideal for studies that need to capture meteorological or hydrological heterogeneity
The low resolution of satellite estimates is a limitation for hydrometeorological studies, but TMPA is worthwhile because of its time delay, temporal sampling frequency, and high global coverage

Method used

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  • A Fusion Method of Precipitation Estimation in Sparse Area Based on Double Smoothing Method
  • A Fusion Method of Precipitation Estimation in Sparse Area Based on Double Smoothing Method
  • A Fusion Method of Precipitation Estimation in Sparse Area Based on Double Smoothing Method

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Embodiment Construction

[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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Abstract

The invention discloses a sparse region rainfall estimation fusion method based on a dual-smoothing method. On the basis of data assimilation thought, rainfall point data observed by rain gauges and TMPA grid rainfall data are integrated together to form a set of discrete points, finally, and the two integrated data sets are turned into an improved novel data set; meanwhile, smoothing is adopted for correcting discontinuity formed before TMPA fusion. According to the dual-smoothing method, rainfall values and spatial distribution are more reasonable and effective, average deviation and root-mean-square errors of a region where rain gauges are distributed sparsely change slightly along with time, heavy rainfall can be more accurately estimated, and meanwhile the rainfall visual result is smoother. The method is particularly applicable to regions where automatic meteorological stations are spatially distributed sparsely in a western region.

Description

technical field [0001] The invention relates to a method for estimating and merging precipitation in a sparse region based on a double-smoothing method, which belongs to a method for merging statistical data. Background technique [0002] Among the weather change elements, precipitation is a very important meteorological element. Precipitation estimation is an extremely important reference quantity in the study of hydrometeorology. Timely and accurate estimation of precipitation is of great significance to the national economy, social life, and the safety of people's lives and properties. Traditional precipitation estimation is obtained by using ground observation data, and station observation is the most direct and effective method to obtain precipitation data. The initial values ​​of many hydrological models are obtained by using the observation data of the observation network distributed on the watershed by weighted average method, smooth function interpolation method o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
CPCG16Z99/00
Inventor 毕硕本王军陈东祺潘建周浩
Owner NANJING UNIV OF INFORMATION SCI & TECH
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