Assimilation Method of Satellite and Surface Precipitation Measurements Based on Kalman Filter

A Kalman filter and measurement value technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as deviations and existing systems, and achieve system error reduction, good optimization effects, and strong applicability Effect

Inactive Publication Date: 2018-05-08
HOHAI UNIV
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Problems solved by technology

[0008] Although the TRMM-TMPA system helps us obtain more accurate rainfall measurement information, there is still inevitable systematic bias

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  • Assimilation Method of Satellite and Surface Precipitation Measurements Based on Kalman Filter
  • Assimilation Method of Satellite and Surface Precipitation Measurements Based on Kalman Filter
  • Assimilation Method of Satellite and Surface Precipitation Measurements Based on Kalman Filter

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[0063] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer definition of the protection scope of the present invention

[0064] Such as Figure 1 to Figure 8(b) As shown, the assimilation method of satellite and ground precipitation measurements based on Kalman filtering includes the following steps:

[0065] (1) Preprocessing: Obtain mutually independent satellite measurement data and ground rainfall station data, and compare and analyze the measurement values ​​to obtain measurement deviations.

[0066] (2) Time update: Since the Kalman filter equation is a recursive form and is only related to the relevant information at the previous moment, both the measurement value estimate and the noise error estimate are expressed as autocorrelation functions.

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Abstract

The invention discloses a method for assimilating satellite and surface precipitation measurement values ​​based on Kalman filtering, which includes the following steps: preprocessing: obtaining mutually independent satellite measurement data and ground rainfall station data, and simultaneously comparing and analyzing the measurement values ​​to obtain measurement deviations ; Time update: both the measured value estimate and the noise error estimate are expressed as an autocorrelation function; method update: the estimated value of the measurement deviation and the estimated value of the noise error variance are assimilated by the Kalman filter method; the present invention not only corrects The error of the system can be eliminated effectively, and the influence of noise can be effectively eliminated, which further improves the reliability of the estimated rainfall.

Description

technical field [0001] The invention relates to a satellite and ground precipitation measurement value assimilation method based on Kalman filtering. Background technique [0002] In the research of atmospheric science, marine science and environmental science, rainfall is a very important physical quantity. The precipitation system plays a very important role in the energy transmission of the entire atmosphere. It has caused the redistribution of global humidity and heat to a considerable extent. Therefore, accurate measurement of precipitation is very important for meteorological disaster forecasting, disaster reduction and prevention, and industrial and agricultural arrangements. Production and other work are of great significance, and will promote the research on the coupling of the atmosphere and the ocean, help us understand the role of latent heat in the large-scale atmospheric circulation, and further improve the understanding and analysis ability of the rainstorm sy...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 陈嘉琪林佳楠雍斌陈波平学伟
Owner HOHAI UNIV
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