Abstract
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.
Highlights
Wang, Y Q 2019 An Open Source Software Suite for Multi-Dimensional Meteorological Data Computation and Visualisation
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)
The popular geoscience data formats, such as NetCDF, HDF and GRIB, are supported based on a Unidata NetCDF Java library; its multi-dimensional array data model is used for scientific computation
Summary
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. Integrating GIS and SCE functions in one framework can benefit users in terms of shifting between these two software environments and making the software more powerful for multiple purposes To fill this gap, MeteoInfo was redeveloped with both an SCE and a GIS, using Java and Jython from 2014. Implementation/architecture Software framework Java was chosen as the programming language of MeteoInfo because of its powerful cross-platform capability and many existing open source libraries for scientific data computation and other purposes. MeteoInfoMap can be used to explore meteorological data interactively in a GIS environment
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