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Method for quickly inversing ozone profile of CrIS hyper-spectral data

A hyperspectral and data technology, applied in the fields of electromagnetic wave re-radiation, radio wave measurement system, and material analysis through optical means, can solve the problems of limited information acquisition, unstable results, and time-consuming

Inactive Publication Date: 2014-03-26
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

[0011] 1. The ultraviolet retrieval can only obtain the ozone profile during the day, and the information obtained in the middle and high latitudes is limited
[0012] 2. Hyperspectral infrared satellites have high spectral resolution and can obtain higher vertical resolution and ozone profiles throughout the day. However, using the optimal estimation method to directly solve the atmospheric radiation transfer equation, the results are unstable and time-consuming

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  • Method for quickly inversing ozone profile of CrIS hyper-spectral data

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[0032] The present invention will now be described more fully with reference to the accompanying drawings, in which exemplary embodiments of the invention are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the exemplary embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0033] The satellite in the present invention selects the U.S. earth observation satellite for use, and the national polar orbiting environmental satellite system Suomi NPP (National Polar-orbiting Partnership), selects data among the present invention to be carried on the cross-tracking infrared detector CrIS ( Cross-track Infrared Sounder), CrIS data provides 1305 spectral channels, covering three bands of long-wave infrared (9.14-15.38um), medium-wave infrared (5.71-8.26um) and short-wave inf...

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Abstract

The invention discloses a method for quickly inversing an ozone profile of CrIS hyper-spectral data. The method is mainly used for solving the quick ozone profile inversion problem of the CrIS hyper-spectral data and comprises the following steps of utilizing a satellite to measure the CrIS data; using a CRTM radiation transfer model to simulate a radiation value; using a principal component analysis method to perform empirical orthogonal expansion on a simulated radiation value covariance matrix; using a least square method to perform best fit on a profile sample matrix and the simulated radiation value covariance matrix and calculate a regression coefficient; obtaining the CrIS data and the regression coefficient to achieve quick inversion of the ozone profile. By using the method, the ozone profile can be stably and quickly inversed by utilizing the CrIS hyper-spectral data, an important technical means is provided for ozone distribution monitoring, and further necessary premise is provided for higher understanding, air quality quantification and forecasting of local and regional air quality.

Description

technical field [0001] The invention relates to a method for rapid inversion of ozone profile of satellite remote sensing data, in particular to a method for rapid inversion of ozone profile of CrIS hyperspectral data based on eigenvector statistical regression, and belongs to the field of satellite remote sensing data ozone profile inversion technology field. Background technique [0002] Ozone is a very important but very special trace gas in the earth's atmosphere, which plays an important role in atmospheric chemical reactions and climate change. On average, about 90% of ozone is distributed in the stratosphere, and the remaining 10% is mainly Distributed in the troposphere. Ozone distributed in the stratosphere has a strong absorption effect on solar short-wave ultraviolet radiation, which is an important guarantee to avoid excessive ultraviolet rays from damaging the earth's organisms and environment. The small amount of ozone distributed in the troposphere can absor...

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Application Information

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IPC IPC(8): G01S7/48G01S17/88G01N21/3504
CPCG01S7/4802G01N21/3504G01S17/88
Inventor 马鹏飞陈良富陶金花
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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