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Kalman filter improvement method for estimating rainfall

A Kalman filter and precipitation technology, applied in the field of meteorological science, can solve the problems of large error and poor stability, and achieve the effect of reducing the amount of calculation, high estimation accuracy and high estimation stability

Active Publication Date: 2016-03-02
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0004] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides an improved Kalman filter method for precipitation estimation, which is used to solve the problem that the existing Kalman filter method for estimating the total surface rainfall has large errors and Technical issues with poor stability

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with the accompanying drawings.

[0041] The present invention is used to carry out 6 precipitation simulations in Guangzhou and contrast experiments with other algorithms.

[0042] Six precipitation events in March 2013 were selected for experimental verification of the estimation method. The 6 rainfall processes were on March 1, March 20, March 23, March 26, March 28, and March 31, with a total of 35 hours of accumulated rainfall. What the present invention test adopts is based on the Guangzhou city area radar radius within 110km, and the radar echo data is obtained from the radar basic reflection every 6min collected by VCP21 in the Guangzhou CINRAD / SA Doppler weather radar precipitation mode put into actual business operation rate data.

[0043] Step 1, the radar data quality control and data preprocessing.

[0044] (1) According to the existing experience, if the radar echo intensity of precipi...

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Abstract

The invention discloses a kalman filter improvement method for estimating rainfall. A lot of complicated kalman filter gains and coefficients are finished offline in advance, so that the calculating amount is greatly reduced; compared with an original kalman filter estimation method, the estimation stability and the estimation accuracy are higher; and the requirements of practical application can be met.

Description

technical field [0001] The present invention relates to meteorological science, in particular to methods for estimating precipitation. Background technique [0002] At present, conventional radiosonde data are still used as the initial data for the numerical prediction models of disastrous weather such as short-term heavy precipitation in my country. However, although after the 1960s, my country continued to increase the construction of automatic weather observation stations and intensify the observation network of automatic weather stations, there are still gaps in the traditional meteorological sounding data in reflecting the time interval and spatial distribution of small and medium-scale precipitation. At the same time, due to the influence of terrain and other factors, this kind of rainfall information often cannot represent the distribution of real rainfall. [0003] The Kalman filter can be used to estimate the total amount of precipitation in the region, and the trad...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G01W1/14
Inventor 毕硕本闫雷鸣刘少丽郭忆赵爱
Owner NANJING UNIV OF INFORMATION SCI & TECH