Troposphere chromatography method

A troposphere and multiplication technology, applied in the field of weather forecasting, can solve problems such as large errors, complex and changeable water vapor distribution, etc., and achieve the effects of accurate determination, improvement of ill-posedness, and reduction of ill-posedness

Active Publication Date: 2022-04-15
CENT SOUTH UNIV
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Problems solved by technology

However, this patent uses a function base to describe the continuity of atmospheric water vapor in horizontal space. However, the actual water vapor distribution is complex and changeable, and cannot be completely described by a set of functions, so there are large errors

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Embodiment Construction

[0038] Troposphere: The layer closest to the earth's surface in the atmosphere, which concentrates about 75% of the mass of the atmosphere and more than 90% of the mass of water vapor.

[0039] Tropospheric tomography: Inversion calculation is performed based on the tropospheric delay information obtained by ray scanning, and the image of the water vapor density distribution within the measured troposphere is reconstructed.

[0040] GNSS: Global positioning and navigation system, including China's Beidou, Europe's Galileo, Russia's GLONASS and the United States' GPS four major systems.

[0041] The invention solves the ill-posed problem of improving the tomographic model by integrating the water vapor product of the meteorological satellite in the tomographic modeling of the troposphere. In the process of establishing the tropospheric tomography model, the existing technology generally discretizes the tomographic area through regular grid blocks, and assumes that the water vap...

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Abstract

The invention provides a troposphere chromatography method, which comprises the following steps: adding stratified atmosphere precipitable water observation value data obtained by a stationary satellite wind cloud 4A on the basis of water vapor data measured by the existing GNSS, the stratified atmosphere precipitable water observation value data obtained by the wind cloud 4A comprises a low-layer water vapor observation value, a middle-layer water vapor observation value and a high-layer water vapor observation value, and reasonably determining the weight ratio of two types of water vapor data, namely water vapor data measured by the GNSS and stratified atmosphere precipitable water observation value data obtained by the wind cloud 4A, obtaining a more accurate troposphere chromatography model, and performing troposphere chromatography under the troposphere chromatography model. According to the method, the high-temporal-spatial-resolution stratified water vapor data of the wind cloud satellite are added to the chromatography model, the discomfort of a traditional chromatography model can be greatly reduced, a more accurate troposphere chromatography model is constructed, and therefore good troposphere water vapor density distribution is obtained.

Description

technical field [0001] The invention belongs to the field of weather forecasting, and in particular relates to atmospheric water vapor detection and a troposphere tomography method. Background technique [0002] Although the content of water vapor in the atmosphere is small, it is an important factor in the global energy balance. Due to the phase change effect of water vapor, it has various states such as rain, fog, cloud, and snow, and is an important factor that causes weather changes. , is also the main driving force for the formation and evolution of disastrous weather. In weather forecasting, the success or failure of short-term nowcasting is determined by the understanding of water vapor content, changes in water vapor, and time and space distribution in the atmosphere. The analysis of the humidity field in the atmosphere will directly affect the accuracy of numerical forecasting. The troposphere is the lowest layer of the earth's atmosphere that is in contact with th...

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Application Information

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IPC IPC(8): G06F30/20G06F17/11G01W1/10
CPCG06F30/20G06F17/11G01W1/10Y02A90/10
Inventor 陈必焰谭井树
Owner CENT SOUTH UNIV
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