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Infrared satellite radiance data cloud detection quality control method based on particle filtering

A quality control method and particle filter technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as complex calculations and large amounts of calculations, and achieve strong modeling capabilities and fast and effective algorithms

Pending Publication Date: 2019-10-25
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a particle filter-based infrared satellite radiance data cloud detection quality control method to solve the problem of large amount of calculation and complex calculation of the cloud detection algorithm in the prior art

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  • Infrared satellite radiance data cloud detection quality control method based on particle filtering
  • Infrared satellite radiance data cloud detection quality control method based on particle filtering
  • Infrared satellite radiance data cloud detection quality control method based on particle filtering

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Embodiment Construction

[0032] The technical solutions of the present invention will be clearly and completely described below through specific embodiments.

[0033] The infrared satellite radiance data cloud detection quality control method based on particle filtering provided by the present invention, such as figure 1 and 2 As shown, the specific steps are as follows:

[0034] (1) Construct a satellite field of view, construct initial cloud amount profile particles in the field of view, and define each particle as a complete set of model stratus cloud coverage percentage combinations, that is, each particle represents that all clouds are in the particle The model layer represented by , and the last particle represents a completely clear sky, and c=c 1 ,c 2 ,...,c n Represents the effective cloud coverage ratio of each model layer in the satellite field of view, where c 0 is the proportion of clear sky, n is the number of model layers, in the field of view of the satellite, the cloud coverage r...

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Abstract

The invention relates to an infrared satellite radiance data cloud detection quality control method based on particle filtering. The method comprises the following specific steps: (1), constructing asatellite view field, and defining a mode layer and the cloud coverage proportion of each mode layer; (2) fitting an all-sky radiance value; (3) updating and normalizing all the particles; and (4) comparing the simulated brightness temperature with the clear sky brightness temperature, and judging whether the channel is not affected by the cloud or not, thereby completing the control of the infrared satellite radiance data cloud detection quality based on particle filtering. Due to the characteristic of non-parameterization, the condition restriction that the random quantity must meet Gaussiandistribution when the nonlinear filtering problem is solved is effectively avoided. The distribution wider than that of a Gaussian model can be expressed, and the higher modeling capacity is achievedfor nonlinear characteristics of variable parameters. The algorithm is quick and effective. The obtained cloud detection identifier can provide effective reference information for a business identification weather system and assimilation of numerical data.

Description

technical field [0001] The invention relates to the technical field of application of satellite meteorological data in earth sciences, in particular to a particle filter-based infrared satellite radiance data cloud detection quality control method. Background technique [0002] At present, there are three basic cloud detection methods in the world: [0003] 1) CO2 slice method: Smith and Frey (1990) calculated cloud top pressure and effective emissivity by CO2 slice method and carried out cloud detection on ATOVS atmospheric infrared detector. The CO2 slice method needs to assume that there are only thin opaque clouds in the atmosphere, and the calculation method is also relatively complicated. [0004] 2) The method of using synchronized cloud products: Guan Li (2007) used the MODIS (Moderate-Resolution Imaging Spectro-radiometer) secondary cloud cover product synchronized with AIRS (the Advanced InfraRedSounder) to determine the field of view affected by clouds. Based on...

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Application Information

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IPC IPC(8): G06F17/50G01W1/00
CPCG01W1/00G06F30/20
Inventor 许冬梅沈菲菲闵锦忠
Owner NANJING UNIV OF INFORMATION SCI & TECH
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