Application of Data Analysis by Python Technology in a Sea Fog Process

Abstract

Python is characterized by a relatively easy-to-learn syntax, a large number of standard libraries and third-party database support, and good compatibility. It has been applied to theoretical research, practical cases, and also has the advantage of a wide variety of toolsets. Python has penetrated into scientific computing, big data processing, data analysis and other professions and fields. In this paper, we requested and downloaded ERA5 reanalysis data by script, and read ERA5 reanalysis data grid point data by Python Xarray toolkit, processed data time dimension and space dimension to read meteorological data into formatted array, and used Metpy to calculate meteorological equation on data. After that, the meteorological and marine data of a high impact sea fog process from February 9th to 14th, 2020 were analyzed and projected onto the map and plotted by Matplotlib and Cartopy, and the product batch 2D mapping was efficiently parallel optimized to study the formation mechanism of sea fog in Liaodong Bay and improve the forecast and warning level of sea fog.