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April 3, 2026ISPRS International Journal of Geo-Information0 citationsOpen Access

From SYNOP to Station Model Symbols on Web Maps: Leveraging Web Technologies to Implement Standardized WMO Symbology for Synoptic Surface Weather Charts

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DBDániel BallaMGMátyás Gede

Key Points

  • The study aims to enhance the visualization of surface weather data by implementing standardized WMO symbology on web maps.
  • Developed an open-source JavaScript module for data decoding and symbol generation.
  • Utilized GeoJSON data for dynamic representation of observational data.
  • Employed Web Workers API for efficient parallel processing in web browsers.
  • The JavaScript module successfully visualizes surface weather observations using WMO-compliant symbols.
  • The implementation allows real-time updates of surface weather information on web maps.
  • Users can interact with weather data without interface delays due to parallelization.

Abstract

Modern web mapping technologies implement web standards that make the visualization of geoscience data on the web possible using various methods, offering a high degree of customizability for creating web maps. In meteorology, synoptic surface weather charts serve as crucial products to communicate observed surface weather at a point in time. To convey such information, these maps implement complex symbology, such as a multi-element surface station model symbol to indicate station data, isobars, and special line symbology to visualize weather fronts. Synoptic messages (SYNOP standard numerical code by WMO) are periodic meteorological reports of weather observations, exchanged by national meteorological services around the globe. This study focuses on visualizing surface weather data decoded from SYNOP reports. The paper introduces an open-source JavaScript module, which handles data decoding and dynamic symbol generation, using a WMO-compliant method for creating station model vector symbols for observational GeoJSON data on the client-side, in an interactive web mapping environment. Its output is compatible with popular, open-source web mapping libraries. It runs Python in the browser with Pyodide and makes use of the Web Workers API for parallelization, speeding up the decoding and visualization process without blocking the user interface thread. The developed module intends to help with easy representation of surface weather observations on web maps used in meteorology, which can also be implemented in a dynamically updated server–client architecture. The code is presented with a ready-to-use wrapper for Leaflet.

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Cite This Study

Balla et al. (2026) studied this question.

synapsesocial.com/papers/69cf5ced5a333a821460a732https://doi.org/10.3390/ijgi15040150
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