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Inversion and forecasting method of cloud-guided wind based on dynamic constraints and variational methods in satellite remote sensing

A technology of satellite remote sensing and dynamics, applied in meteorology, scientific instruments, complex mathematical operations, etc., can solve problems such as not considering dynamic characteristics, large forecast errors, etc.

Active Publication Date: 2021-09-21
南京大数卫遥科技有限公司
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Problems solved by technology

The above two methods are realized by simply transplanting the computer image tracking and recognition technology to the cloud cover short-term forecast, without considering the dynamic characteristics related to the weather, so there are often large forecast errors in complex weather processes

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  • Inversion and forecasting method of cloud-guided wind based on dynamic constraints and variational methods in satellite remote sensing
  • Inversion and forecasting method of cloud-guided wind based on dynamic constraints and variational methods in satellite remote sensing
  • Inversion and forecasting method of cloud-guided wind based on dynamic constraints and variational methods in satellite remote sensing

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Embodiment Construction

[0041] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Work flow chart of the present invention is as figure 1 As shown, specifically:

[0042] Step 1: Read the original data of Fengyun-4 satellite, and generate a data file containing cloud amount and grid point position information;

[0043] Specifically, the satellite data receiver is used to receive the monitoring data of the Fengyun-4 satellite in real time, and the nine-point median filtering method is used to control the quality of the original data, so as to reduce the random noise in the original data and generate information including cloud amount and grid point position information. The data files are stored in the data database;

[0044] Step 2: Calculate the cloud amount related items in the cloud amount change equation on all grid points, where the cloud amount change equation is:

[0045]

[0046] in C is the cloud amo...

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Abstract

The invention discloses a method for inversion and prediction of satellite remote sensing cloud guiding wind based on dynamic constraints and a variational method. Specific technical solution steps: Step 1: Read the original data of Fengyun-4 satellite, and generate data files containing cloud amount and grid point position information; Step 2: Calculate the cloud amount related to cloud amount in the cloud amount change equation on all grid points Items; Step 3: Variationally solve the vector style point field in the cloud amount change equation under dynamical constraints; Step 4: Use the Lagrangian forward integration scheme to perform statistical extrapolation and generate cloud forecast products. The present invention uses high-resolution geostationary meteorological satellites (such as my country's Fengyun No. 4 satellite) to obtain cloud amount data in real time, solves the cloud amount change equation and obtains the wind vector field through a variational method under dynamic constraints, and then calculates the future 0~3 The hourly cloud cover is extrapolated and forecasted.

Description

technical field [0001] The invention relates to the technical field of short-term weather forecasting, in particular to a satellite remote sensing cloud-guiding wind inversion forecasting method based on dynamic constraints and a variational method. Background technique [0002] The short-term forecast refers to the forecast of the weather system and meteorological elements within 0 to 3 hours in the future. Within this forecast time limit, the statistical extrapolation technology based on historical and real-time monitoring data is the main means of making forecast products. With the increasing temporal and spatial resolution of geostationary weather satellites, satellite imagery has been able to provide good information on large-scale weather conditions, especially the distribution of cloud cover (the proportion of the sky covered by clouds). For gridded cloud cover data obtained from satellite monitoring, the key to successful short-term extrapolation is to calculate the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01W1/10G06F30/20G06F17/13
CPCG01W1/10G06F17/13G06F30/20Y02A90/10
Inventor 郭洪涛宋金杰
Owner 南京大数卫遥科技有限公司