Brightness temperature data scale refinement method for atmospheric temperature and humidity profile detector

Abstract

The invention discloses a brightness temperature data scale refinement method of an atmospheric temperature and humidity profile detector. The scale refinement method comprises the following steps: S1, selecting a target grid for scale refinement; s2, searching adjacent brightness temperature data for each target grid; s3, calculating a weight factor corresponding to the adjacent brightness temperature data set for each target grid; and S4, calculating a brightness temperature value after scale refinement on the target grid according to the weight factor. According to the scale refinement method, the problem that the observation scale refinement degree of a traditional real aperture atmospheric temperature and humidity profile detector is insufficient can be solved, so that the purposes that a target grid is not limited, and the design of a load antenna does not need to be improved are achieved; from the perspective of data image processing, the scale refinement degree of the brightness temperature data is improved to a specified target grid by using a scale refinement algorithm according to data application requirements. And the observation requirements of extreme weather such as typhoon and severe convective weather are met by using the data after scale refinement.

Description

technical field [0001] The invention relates to the technical field of data scale refinement, in particular to a brightness temperature data scale refinement method of an atmospheric temperature and humidity profile detector. Background technique [0002] Space-borne atmospheric temperature and humidity profilers are widely used in atmospheric remote sensing. Due to the limited antenna size and weight, the main disadvantage of spaceborne atmospheric temperature and humidity profilers is the large spatial scale. Large-scale data restrict the application of atmospheric temperature and humidity profilers, especially the monitoring of extreme weather such as strong convection and typhoon. [0003] There are three main measures to refine the scale of the atmospheric remote sensing image of the space-borne atmospheric temperature and humidity profiler. On the one hand, from the perspective of payload physics and technology, the aperture of the antenna of the payload temperature a...

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Problems solved by technology

[0003] There are three main measures to refine the scale of the atmospheric remote sensing image of the space-borne atmospheric temperature and humidity profiler. On the one hand, from the perspective of payload physics and technology, the aperture of the antenna of the payload temperature and humidity profiler is increased to obtain a higher efficiency of the main beam. 1. A payload antenna with a narrower main beam width. This method has a limited aperture size and is limited by the space capacity of space platforms and rockets, resulting in a long development cycle and high cost. The second is to use the comprehensive aperture microwave radiation measurement technology and use sparse The small-diameter antenna array synthesizes an equivalent large-diameter antenna, thereby improving the degree of refinement of the observation scale. Although the volume and weight of the system are effectively reduced, it also greatly increases the system complexity of the load, resulting in a decrease in measurement accuracy and data processing. The algorithm is complex; on the other hand, from the perspective of data and image processing, using existing data and measured antenna pattern, through various scale fine-grained algorithms, the scale fine-grained image is restored by deconvolution calculation come out

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