method and a system for extracting GRIB code data

Abstract

The invention discloses a method and system for extracting GRIB code data. The method comprises the steps that S1, GRIB API.NET based on C is imported into a development environment of a computer; S2,constructing a hash searching method and a multi-thread parallel processing method based on hardware judgment, and performing structured classification processing on the GRIB code numerical forecasting product data; S3, extracting GRIB code data from the GRIB code numerical forecasting product data, and opening up a multi-dimensional array to store the extracted GRIB code data; S4, judging whether the extracted GRIB code data meets the reliability requirement or not; and S2, if yes, performing boundary correction and missing data estimation on the GRIB code data required by the reliability through an interpolation method to obtain a corrected assigned multi-dimensional array, and if not, re-acquiring the GRIB code numerical forecasting product data and returning to the step S2. Accordingto the method and the system provided by the invention, a parallel multi-thread decoding mode is used, and a low-time complexity algorithm is embedded, so that the timeliness of GRIB code data decoding is greatly improved.

Description

technical field [0001] The invention relates to the field of extracting GRIB code data, in particular to a method and system for extracting GRIB code data. Background technique [0002] The full name of Grib code is GRIdded Binary, which is a form-driven code recommended by WMO (World Meteorological Organization). It is a compressed binary code that has nothing to do with computers. It has strong retrieval ability, scalability, and high compression ratio. features. It is usually used to store and transmit large-capacity grid data. It is widely used in the product data of numerical weather prediction, and is also mostly used in historical meteorological data and ocean data. The current Grib code version has two formats, GRIB1 and GRIB2. Compared with GRIB1, GRIB2 has the advantages of representing multi-dimensional data, more modular structure, more compression methods and IEEE standard floating-point representation, and is widely used. [0003] At present, there are two ki...

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Problems solved by technology

[0005] However, in the actual application of GRIB forecast product decoding, there are often various situations that are not convenient for data extraction, some content is missing, the timeliness of data decoding is poor, the extracted data format is solidified, and intermediate files are required to reproduce the first decoded content. Insufficient processing, etc., it is difficult to meet the demand for GRIB decoding under emergency operations

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