An Open Source Software Suite for Multi-Dimensional Meteorological Data Computation and Visualisation用于多维气象数据计算和可视化的开源软件套件

作者:王亚强

摘要

MeteoInfo Java software tools were developed for multi-dimensional meteorological data analysis and visualisation by integrating a Geographic Information System (GIS) and Scientific Computation Environment (SCE). Included are a Java class library for software developing, a GIS desktop application for spatial data operation and interactive multi-dimensional geoscientific data exploration, and a scientific computation and visualisation environment with Jython scripting. The popular geoscience data formats, such as NetCDF, HDF and GRIB, are supported based on a Unidata NetCDF Java library; also, its multi-dimensional array data model is used for scientific computation. In this paper, the software design framework and its implementation are presented. Furthermore, the software application capabilities are illustrated using several examples.

MeteoInfo Java软件工具是通过集成地理信息系统（GIS）和科学计算环境（SCE）为多维气象数据分析和可视化而开发的。包括用于软件开发的Java类库、用于空间数据操作和交互式多维地球科学数据探索的GIS桌面应用程序，以及带有Jython脚本的科学计算和可视化环境。基于Unidata NetCDF Java库，支持NetCDF、HDF和GRIB等流行的地球科学数据格式；此外，它的多维阵列数据模型也用于科学计算。本文给出了软件设计框架及其实现。此外，通过几个例子说明了软件应用功能。

Keywords: Multi-dimensional data, Visualization, GIS, Scientific computation

参考：https://openresearchsoftware.metajnl.com/articles/10.5334/jors.267/

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