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
CN110378074APending Publication Date: 2019-10-25NANJING UNIV OF INFORMATION SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
NANJING UNIV OF INFORMATION SCI & TECH
Publication Date
2019-10-25

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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.
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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...

Claims

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