贵阳机场双跑道自动观测数据归档及气象要素精细化预报系统的设计与实现

Design and Implementation of the Automatic Observation Data Archiving and Refined Meteorological Element Forecasting System for Guiyang Airport’s Dual Runways

摘要: 本文设计并实现了贵阳龙洞堡机场双跑道自动观测数据归档及气象要素精细化预报系统。针对多跑道运行气象保障需求，系统构建了数据归档模块，对多源异构气象观测数据进行标准化整合与高效管理。核心是基于深度神经网络构建了精细化预报模型，利用ECMWF数据驱动，生成了双跑道四个端头逐小时气象要素预报。测试表明模型对常规天气要素的预报精度基本满足业务需求，并通过可视化模块便捷展示历史数据与预报结果，有助于提升贵阳机场双跑道运行的气象服务精细化水平和保障能力。

Abstract: This paper designs and implements an automatic observation data archiving and refined meteorological element forecasting system for the dual runways of Guiyang Longdongbao Airport. To address the meteorological support requirements for multi-runway operations, the system constructs a data archiving module that standardizes and efficiently manages multi-source heterogeneous meteorological observation data. The core innovation is a refined forecasting model based on deep neural networks, driven by ECMWF data, which generates hourly meteorological element forecasts for all four runway ends. Testing demonstrates that the model’s forecasting accuracy for conventional weather elements generally meets operational requirements. The system also features a visualization module for convenient display of historical data and forecast results, contributing to enhanced meteorological service refinement and operational support capabilities for Guiyang Airport’s dual-runway operations.