All-weather assimilation method for infrared hyperspectrum

Abstract

The invention discloses an all-weather assimilation method of an infrared hyperspectrum. The method comprises the following steps: collecting background field cloud water profile information by using a non-static water-carrying forecasting mode; obtaining cloud radiance and cloud cover information contained in the channel; carrying out sparse processing on an observation view field, carrying out principal component reconstruction on a water vapor channel, reducing the noise level of the channel, and processing the processed observation by using a variational deviation correction method; carrying out initial quality control and classification on the view field, calculating a cloud observation error for a middle-upper troposphere water vapor channel of the cloud view field by using a cloud scene all-weather R model, carrying out assimilation calculation, calculating a preliminary analysis field for other channels through a variational quality control method, and then carrying out assimilation calculation; processing the analysis field through a variational deviation correction method, and carrying out the previous step; and repeating until the optimal analysis field is calculated. According to the invention, weather forecast can be accurately carried out on all-weather weather.

Description

technical field [0001] The invention belongs to the technical field of numerical weather forecasting, and in particular relates to an all-weather assimilation method of infrared hyperspectrum. Background technique [0002] The research on observation error covariance originated from the assimilation application of satellite data. Bormann et al. pointed out that for satellite observation data, due to the diversity of observation errors, there are not only spatial correlation errors, but also channel correlation errors. As early as 2001, Desrosiers et al. conducted preliminary research on the observation error covariance of satellite data. By improving the background error covariance and observation error covariance, they proposed a consistency analysis criterion based on the statistical observation value minus the analysis value instead of the observation value. Error statistics. Then in 2005, Desrosiers further improved the observation error covariance and proposed the mos...

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Problems solved by technology

[0006] In view of this, the present invention proposes an all-weather assimilation method of infrared hyperspectrum, aiming at the problem that the observation error covariance model adopted by the current business variational assimilation system cannot accurately describe the channel correlation of infrared hyperspectral observation error and the level of observation error variance under all-weather conditions , all-weather climate assimilation using infrared hyperspectral observation error covariance channel correlation technology based on cloud characteristic function and observation error variance inflation technology based on cloud amount

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