Mesoscale weather forecast mode deployment method an system, and related device

Abstract

The invention provides a mesoscale weather forecast mode deployment method. The method comprises the following steps: receiving a deployment request; calling a detection script to detect a deployment environment corresponding to the deployment request; determining a weather forecast mode mirror image corresponding to the deployment environment from a deployment library; and deploying the mesoscale weather forecast mode by using the weather forecast mode mirror image. According to the application, after the deployment request is received, the deployment environment is firstly detected, and the mirror image matched with the deployment environment is searched from the deployment library, so that one-key deployment of the weather forecast mode mirror image is realized. The user can complete the operation only by executing one script without considering the compatibility problem between the weather forecast mode mirror image and the deployment environment, so that the software configuration threshold is reduced, and the deployment efficiency of the weather forecast mode is improved. The invention further provides a deployment system of the mesoscale weather forecast mode, a computer readable storage medium and electronic equipment, which have the above beneficial effects.

Description

technical field [0001] This application relates to the field of computer software applications, in particular to a deployment method, system and related devices of a mesoscale weather forecast model. Background technique [0002] Mesoscale weather forecasting model WRF (Weather Research and Forecasting model) has a very wide range of applications in small and medium scale weather and climate simulation, physical parameterization scheme research, data assimilation and other fields. WRF mode is also the most commonly deployed meteorological HPC application on clusters or supercomputing. [0003] However, the deployment of WRF is very cumbersome. First, the WRF mode includes the pre-processing module WPS and the main module WRF. The installation of the former depends on the successful installation of the latter, while the installation of these two modules depends on multiple different libraries, and the relationship between There are also version compatibility and dependencies...

AI Technical Summary

Problems solved by technology

[0003] However, the deployment of WRF is very cumbersome. First, the WRF mode includes the pre-processing module WPS and the main module WRF. The installation of the former depends on the successful installation of the latter, while the installation of these two modules depends on multiple different libraries, and the relationship between There are also version compatibility and dependencies, so manually deploying WRF step by step is very time-consuming and energy-intensive, and the deployment efficiency is extremely low. It is difficult for users to get started and the threshold is high, which is not conducive to the deployment and application of mesoscale weather forecast models.

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