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Method and device for comprehensive identification of precipitation phenomenon based on multi-source observation data

A recognition method and data technology, applied in the field of atmospheric scientific research, can solve the problem of high false recognition rate, achieve high resolution and accuracy, and improve the recognition accuracy.

Active Publication Date: 2022-07-12
南京气象科技创新研究院 +2
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Problems solved by technology

[0004] In order to solve the problem of high misidentification rate in existing raindrop spectrometer observation products, this application provides a comprehensive identification algorithm and device for precipitation phenomena based on multi-source observation data to obtain precipitation with high reliability and accuracy Phenomenon automatic identification products

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  • Method and device for comprehensive identification of precipitation phenomenon based on multi-source observation data

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[0032] The following will be combined with the Figure 1-4 The present application will be described in detail with specific embodiments.

[0033] refer to figure 1 The present embodiment discloses a method for comprehensively identifying precipitation phenomena based on multi-source observation data such as a raindrop spectrometer, including the following steps:

[0034] Step S01, extract 32 files of particle size-falling velocity minute observation data observed in real time by the PARSIVEL raindrop spectrometer, obtain 32*32 files of particle size and the number of potential observed particles on the falling speed space, marked as N i,j , where i corresponds to 32 particle sizes in the range of 0.0625-24.5mm, j corresponds to 32 falling speeds in the range of 0.05-20.8m / s, and removes the data of the first two particle sizes (0.0625 and 0.1725mm) with higher errors to obtain the mass The number of observed precipitation particles in the controlled 30*32 particle size-fall...

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Abstract

The invention discloses a method for comprehensively identifying precipitation weather phenomena based on multi-source observation data. First, the minute precipitation particle spectral distribution (particle size and number concentration) and falling speed information detected by a raindrop spectrometer are extracted, and after quality control, quality control is obtained. The post-precipitation particle spectral distribution and falling velocity. Then, based on the particle spectrum distribution and falling velocity information observed by the raindrop spectrometer, as well as the ambient temperature information at the location of the meteorological station, a fuzzy logic identification method is introduced to identify different types of precipitation weather phenomena. Finally, for the identified precipitation types, the specific precipitation subtypes are further subdivided according to the intensity and continuous changes, so as to realize more refined weather phenomenon identification. The method of the present application is based on multi-source observation means and fuzzy logic algorithm, and can solve the problem that the current raindrop spectrometer has an excessively high misrecognition rate of weather phenomena, and realize accurate identification of precipitation phenomena.

Description

technical field [0001] The present application relates to the field of atmospheric scientific research, in particular to a method and device for comprehensive identification of precipitation weather phenomena based on multi-source observation data. Background technique [0002] Atmospheric precipitation refers to the general term for the falling of hydrometeors from the atmosphere to the ground, including many common weather processes such as rainfall, snowfall and hail. Accurately recording the precipitation phenomenon on the observation site is the basic work of meteorologists for thousands of years. The historical records of these precipitation phenomena are not only conducive to evaluating weather forecast results and revealing local climate changes, but also have important reference value for understanding local human and historical changes. In recent years, with the increasing density of meteorological observation sites in my country, comprehensive automatic observati...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01W1/10G01W1/14
CPCG01W1/10G01W1/14Y02A90/10
Inventor 陈刚郑媛媛孙康远徐芬赵坤
Owner 南京气象科技创新研究院
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