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The new generation of high-resolution broad-band radio telescopes, like theLow Frequency Array (LOFAR), produces, depending on the level of compression,between 1 to 10 TB of data per hour after correlation. Such a large amount ofscientific data demand powerful computing resources and efficient data handlingstrategies to be mastered. The LOFAR Two-metre Sky Survey (LoTSS) is a KeyScience Project (KSP) of the LOFAR telescope. It aims to map the entirenorthern hemisphere at unprecedented sensitivity and resolution. The surveyconsist of 3 168 pointings, requiring about 30 PBytes of storage space. As amember of the German Long Wavelength Consortioum (GLOW) the ForschungszentrumJ\"ulich (FSZ) stores in the Long Term Archive (LTA) about 50% of all LoTSSobservations conducted to date. In collaboration with SURFsara in Amsterdam wedeveloped service tools that enable the KSP to process LOFAR data stored in theJ\"ulich LTA at the supercomputer JUWELS in an automated and robust fashion.Through our system more than 500 out of 800 existing LoTSS observations havealready been processed with the prefactor pipeline. This pipeline calibratesthe direction-independent instrumental and ionospheric effects and furthermorereduces the data size significantly. For continuum imaging, this processingpipeline is the standard pipeline that is executed before more advancedprocessing and image reconstruction methods are applied.

Realising the LOFAR Two-Metre Sky Survey -- using the supercomputer JUWELS at the Forschungszentrum J\"ulich