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GNSS occultation troposphere parameter correction method based on BP neural network

A BP neural network and tropospheric technology, applied in the field of atmospheric science research, can solve problems such as the large negative deviation of the tropopause height, and achieve the effect of improving quality and correcting errors

Pending Publication Date: 2021-11-05
NAT SPACE SCI CENT CAS
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Problems solved by technology

The tropopause height obtained from the inversion of the FY3C satellite GNOS occultation data has a large negative bias compared with the ECMWF four-dimensional variational data at high latitudes

Method used

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  • GNSS occultation troposphere parameter correction method based on BP neural network
  • GNSS occultation troposphere parameter correction method based on BP neural network
  • GNSS occultation troposphere parameter correction method based on BP neural network

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Embodiment 1

[0045] Embodiment 1 of the present invention proposes a correction method of GNSS occultation tropospheric parameters based on BP neural network.

[0046]Using the occultation observation data of the GNSS occultation detector (GNOS for short) on the FY3C satellite, the BP neural network-based method of the present invention is used to correct the tropopause parameters in the high-latitude region of the GNSS occultation of the FY3C satellite to correct the data. Launched in September 2013, the FY3C satellite is a sun-synchronous orbit satellite with an orbital inclination of 98.8°, an average altitude of 836km, and an orbital period of 101.5 minutes. Its GNSS occultation receiver GNOS can be compatible with Beidou Navigation Satellite System (BDS) signals and Global Positioning System (GPS) signals at the same time. The number of atmospheric temperature profiles provided by FY3CGNOS during normal business operations is 400-500 per day.

[0047] The first step is to construct t...

Embodiment 2

[0058] Embodiment 2 of the present invention proposes a correction system of GNSS occultation tropospheric parameters based on BP neural network, which is realized based on the method of embodiment 1. The system includes: a correction model, a receiving module, a preprocessing module and an output module; in,

[0059] The receiving module is used to receive the tropopause parameter product data collected and retrieved by the GNSS occultation detector;

[0060] The preprocessing module is used to preprocess the tropopause parameter product data;

[0061] The output module is used to input the pre-processed data into the pre-established and trained correction model to obtain the corrected tropopause height and tropopause temperature;

[0062] The correction model adopts BP neural network.

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Abstract

The invention relates to the field of atmospheric science research, in particular to a GNSS occultation troposphere parameter correction method based on a BP neural network, and the method comprises the steps: receiving troposphere top parameter product data obtained through the collection and inversion of a GNSS occultation detector; preprocessing the troposphere top parameter product data; and inputting the preprocessed data into a pre-established and trained correction model to obtain a corrected troposphere top height and a corrected troposphere top temperature, wherein the correction model adopts a BP neural network. According to the method, the BP neural network method is used for correcting the GNSS occultation troposphere top parameter product for the first time, the effect of improving errors in a high-latitude region is especially the most obvious, the used model is simple and efficient, calculation is economical, the errors of the parameters in the high-latitude region of the GNSS occultation troposphere top product can be effectively corrected, and the quality of the GNSS occultation troposphere top parameter product is improved.

Description

technical field [0001] The invention relates to the field of atmospheric science research, in particular to a correction method for GNSS occultation troposphere parameters based on BP neural network. Background technique [0002] The tropopause is a hotspot in atmospheric climate research. GNSS occultation detection technology has the characteristics of high global coverage and high vertical resolution, and its optimal detection interval is 7-25km, which is in line with the height of the tropopause, so high-quality, high-global coverage tropopause products can be obtained ( Tropopause parameters retrieved from GNSS occultation detection data, hereinafter referred to as GNSS occultation tropopause parameters; tropopause parameters mainly include tropopause height and tropopause temperature). [0003] The judging method of the tropopause usually uses the temperature lapse rate judging method defined by the World Meteorological Organization WMO in 1957, that is, the lowest poi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S19/07G06F30/27G06N3/08
CPCG01S19/07G06F30/27G06N3/084
Inventor 白伟华邓楠刘小煦刘梓琰孙越强杜起飞刘黎军李伟王先毅蔡跃荣夏俊明孟祥广柳聪亮谭广远尹聪胡鹏黄飞雄王冬伟刘成吴春俊李福乔颢程双双
Owner NAT SPACE SCI CENT CAS
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