Intelligent forecasting tool crowd creation platform and sharing method

Abstract

The invention belongs to the technical field of meteorological forecast data processing, and discloses an intelligent forecasting tool crowd creation platform and a sharing method, which are used forreconstructing an existing fine forecast making platform and abstracting basic forecast data and a secondary development interface to support secondary development and achieve the goals of everyone participation and forecast crowd creation. An intelligent forecasting tool crowd-creation platform is developed to achieve online management of the intelligent forecasting tool, intelligent correction tool monitoring, management and evaluation are provided, the functions of statistics and management, resource development, help and the like of developers are achieved, comprehensive indexes are calculated from the dimensions of use indexes, technical difficulty, downloading times, like times, commenting conditions and the like, a reliable reference basis is provided for a presenter to apply intelligent tools, and technical communication support is provided for developers and users. The invention provides an intelligent correction tool for a visual parameter panel, which is convenient for quickly adjusting and applying correction parameters according to different weather types and realizes free combination and serialized execution of forecasting tools in a plug-in manner.

Description

technical field [0001] The invention belongs to the technical field of weather forecast data processing, and in particular relates to an intelligent forecast tool crowd-creation platform and a sharing method. Background technique [0002] At present, the development of weather forecasting has been based on high-performance computing model forecasting. Forecasters make manual corrections based on years of accumulated forecasting experience and ideas, and finally release high-resolution refined grid forecasts to users. In order to realize the interactive correction and production of grid weather forecasts, many refined grid forecast production platforms with different characteristics have been developed in the industry. [0003] However, there is a common problem in these platforms - "it cannot meet the needs of forecasters to participate in technology research and development and share results". The specific performance is as follows: 1) The existing grid forecast production...

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Problems solved by technology

[0003] However, there is a common problem in these platforms - "it cannot meet the needs of forecasters to participate in technology research and development and share results"

The specific performance is as follows: 1) The existing grid forecast production platform in the industry provides common forecast editing functions, but usually does not support the secondary development of forecasters, because for personalized editing and correction needs, usually only rely on the original software Development company for redevelopment

2) Forecasters make subjective corrections based on accumulated forecasting experience, but due to differences in experience accumulation among forecasters, there are certain differences in the correction results; Therefore, the forecast experience should be condensed into an intelligent forecast correction tool, installed and integrated into the forecast production platform in the form of a custom plug-in, so as to realize the co-construction and sharing of forecast experience and shared

[0006] (1) The existing grid forecast production platform in the industry provides common forecast editing functions, but usually does not support the secondary development of forecasters, because the original software development company can only rely on the original software development company for personalized editing and correction needs redevelopment

[0007] (2) The forecaster makes subjective corrections based on the accumulated forecasting experience, but due to the differences in experience accumulation among forecasters, there are some differences in the correction results; The same forecasting idea brings inconsistency in the revised results

[0008] (3) Existing technologies cannot share forecast data conveniently and quickly

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