MetMaps - a tool for way more than just visualizing weather

Flood situations and the issuance of necessary warnings demand swift action from meteorologists and authorities, particularly in the case of mesoscale weather events occurring in small drainage areas with significant relief potential. The update cycles of weather models may not always sufficiently capture current developments or enable an adequate response to evolving situations.

MetMaps enhances synoptic analysis by integrating observational data, model outputs, and Model Output Statistics (MOS), providing a more comprehensive understanding of weather patterns. It is particularly effective for nowcasting, supporting decision-making during severe weather events. Notably, the tool consolidates cross-border observational precipitation data, combining it with both current and historical model runs. This integration facilitates improved weather forecasts by enabling a faster and more accurate assessment of model performance for impending developments.

MetMaps permanently collects all meteorological data from freely available sources, integrates it, and makes it available to the user on one single platform. This simplifies and accelerates the evaluation process for the user, as the time-consuming task of searching for and combining different datasets is no longer necessary. 

Furthermore, the user can import all this data from MetMaps into their own systems via customized APIs to further process it in their own products. These can include web applications or graphic systems as well as the user’s machine learning tools, which are necessary for advisory and warning management. 

Additionally, within the framework of CCL, the user can further distribute this content, for example, by posting it.

As a forecaster’s essential tool, MetMaps is designed for versatility, functioning seamlessly and reliably across mobile devices, tablets, and personal computers. Additionally, it features a highly sophisticated module for the statistical evaluation of climate data.