A data fusion method for multiple data sources

Abstract

The embodiment of the invention provides a data fusion method of multiple data sources, comprising a basic data processing step used for processing the meteorological data of a station, the CFSR meteorological data, the Princeton atmospheric driving data and the remote sensing data to obtain the processed basic data; a data set establishment step used for establishing a near-surface temperature field, a near-surface relative humidity field, a near-surface wind field, a near-surface pressure field, a precipitation field and a radiation field according to the processed basic data.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a multi-data source data fusion method, which can typically be used for the fusion of meteorological data. Background technique [0002] With the development of society, more and more fields are beginning to use data analysis and data processing technology. In many fields that use massive data, it is necessary to fuse data obtained from multiple data sources, and then perform subsequent analysis and processing. Meteorological data is a very typical massive data set. Meteorological data must integrate massive data from multiple data sources, so the data must be fused first so that these data can be used uniformly. For example, the meteorological data used in my country usually include: station observation data in mainland China, CFSR reanalysis data, Princeton atmospheric driving data, and GEWEXSRB downlink shortwave radiation data. [0003] Massive data needs to be fuse...

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Problems solved by technology

[0004] In view of the problem that the current data fusion technology is not perfect enough, the embodiment of the present invention proposes a data fusion method for multiple data sources in order to achieve the above purpose, including:

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