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Troposphere delay prediction method and troposphere delay prediction system suitable for Antarctic region

A tropospheric delay and prediction method technology, applied in neural learning methods, biological neural network models, design optimization/simulation, etc., can solve the problem of affecting the accuracy of precipitable water, the low accuracy of tropospheric delay values, and the inability to provide high-precision tropospheric delays and other problems to achieve the effect of compensating the difference deviation, improving the accuracy and improving the accuracy

Active Publication Date: 2022-04-08
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The GPT3 enhanced model is a physical model constructed based on measured meteorological parameters and model estimated meteorological parameters. The zenith wet delay sequence estimated by the GPT3 model is always too smooth to provide high-precision tropospheric delays, and is not suitable for the Antarctic region.
[0005] In summary, the inventors found that neither the current empirical tropospheric model nor the GPT3 model is suitable for the Antarctic region, and the accuracy of the tropospheric delay value is low, which ultimately affects the accuracy of the atmospheric precipitable water inversion in the Antarctic region using tropospheric delay correction.

Method used

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  • Troposphere delay prediction method and troposphere delay prediction system suitable for Antarctic region
  • Troposphere delay prediction method and troposphere delay prediction system suitable for Antarctic region
  • Troposphere delay prediction method and troposphere delay prediction system suitable for Antarctic region

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Embodiment 1

[0046] combine figure 1 and figure 2 , this embodiment provides a tropospheric delay prediction method suitable for the Antarctic region, which specifically includes the following steps:

[0047] S101: Obtain the spatial information of the target station and the calculated value of the tropospheric delay in the direction of the zenith within the forecast time period.

[0048] Specifically, in step S101, the spatial information here includes information such as longitude, latitude and elevation.

[0049] In step S101, the tropospheric delay calculation value is calculated by a global pressure temperature series model.

[0050] Among them, the global pressure temperature series model GPT is used to calculate the global GNSS tropospheric delay, including GPT, GPT2, GPT2w and GPT3 models.

[0051] Combine below figure 2 , taking the GPT3 model as an example to calculate the tropospheric delay calculation value GPT3_ZTD.

[0052] Specifically, based on the position information...

Embodiment 2

[0071] refer to image 3 , the present embodiment provides a tropospheric delay prediction system applicable to the Antarctic region, which specifically includes the following modules:

[0072] (1) an information acquisition module, which is used to acquire the spatial information of the target station and the tropospheric delay calculation value of the zenith direction in the forecast period;

[0073] (2) Tropospheric delay prediction module, which is used to use the space domain tropospheric delay model to obtain the deviation between the predicted value and the calculated value of the tropospheric delay at the zenith direction of the target station within the forecast period, and then accumulate with the corresponding calculated value, Obtain the forecast value of tropospheric delay in the direction of the zenith at the target station within the forecast period;

[0074] Among them, the tropospheric delay model in the space domain is trained by the spatial information of t...

Embodiment 3

[0080] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps in the above-mentioned tropospheric delay prediction method applicable to the Antarctic region are implemented.

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Abstract

The invention belongs to the technical field of troposphere delay prediction, and provides a troposphere delay prediction method and system suitable for an Antarctic region in order to solve the problems that an existing experience troposphere model and a GPT3 model are not suitable for the Antarctic region and the troposphere delay value precision is low. The method comprises the following steps: acquiring spatial information of a target station and a troposphere delay calculation value in a zenith direction in a forecast time period; a space domain troposphere delay model is used to obtain a deviation between a troposphere delay forecast value and a calculated value in the zenith direction of the target station in the forecast time period, and then the deviation is accumulated with the corresponding calculated value to obtain a troposphere delay forecast value in the zenith direction of the target station in the forecast time period; the space domain troposphere delay model is formed by training space information of a training station, a troposphere delay calculation value in the zenith direction of the training station in a forecasting time period and deviation between the troposphere delay calculation value and a corresponding forecasting value. The troposphere delay method can provide high-precision troposphere delay, thereby improving the precision of inversion of atmospheric precipitable water.

Description

technical field [0001] The invention belongs to the technical field of tropospheric delay prediction, in particular to a tropospheric delay prediction method and system suitable for Antarctica. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] GNSS (Global Navigation Satellite System, Global Navigation Satellite System) technology is widely used in meteorology and space physics. Tropospheric delay is an important error source in satellite positioning, which provides effective data with high time resolution and high precision for inversion of precipitable water in the atmosphere. However, the accuracy of tropospheric delay values ​​provided by the existing empirical tropospheric delay models in the Antarctic region is low, which affects the inversion accuracy of precipitable water. Therefore, providing high-precision tropospheric delay prio...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08
CPCY02A90/10
Inventor 江楠李耸许艳徐天河
Owner SHANDONG UNIV