Web service encapsulation method and system for weather forecast calculation system wrf

Abstract

The invention discloses a Web service encapsulation method for a mesoscale numerical weather forecasting calculating system weather research forecasting (WRF). The method comprises the following steps: receiving information related to a task through a Web service interface; extracting useful information by using a script generator according to the received information related to the task and generating a job script file; submitting the generated job script file to a calculating cluster system, so that the calculating cluster system can call the mesoscale numerical weather forecasting calculating system WRF according to the job script file to execute the corresponding job. Correspondingly, the invention also provides a Web service encapsulation system for mesoscale numerical weather forecasting calculating system WRF. By adoption of the Web service encapsulation method and the Web service encapsulation system, the task submission difficulty can be reduced and the work efficiency can be improved.

Description

technical field [0001] The present invention relates to the field of computer technology, and more specifically, to a web service encapsulation method and a web service encapsulation system for a mesoscale numerical weather forecast calculation system WRF. Background technique [0002] Mesoscale meteorology is an important branch of modern meteorological science that is developing rapidly. The mesoscale motion of the atmosphere it studies is related to the discovery and prevention of important regional disastrous weather. One aspect is to conduct in-depth simulation research and forecasting experiments on mesoscale weather processes through mesoscale numerical models. With the rapid development of computer technology in recent years, mesoscale numerical models have become increasingly mature. There are many mesoscale numerical weather forecast models, for example, the WRF computing system (MesoscaleModel5) is currently widely used at home and abroad. [0003] The mesoscale...

AI Technical Summary

Problems solved by technology

[0010] (2) Low execution efficiency

If you want to successfully submit a computing task of a WRF program, you need to execute multiple processes, and you need to perform complex and cumbersome operations in the command line environment, resulting in time-consuming, laborious and inefficient submission of parallel computing tasks

[0011] (3) High probability of error

For most ordinary users, performing complex and cumbersome operations in the command line environment has a high probability of human error

Especially for users who are not familiar with the operation process, it is easy to encounter problems in all aspects of execution

[0012] (4) High security risk

Misoperation by users may affect the stable operation of the system, and hackers may also take advantage of it

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