Preprints
https://doi.org/10.5194/essd-2026-784
https://doi.org/10.5194/essd-2026-784
08 Oct 2026
 | 08 Oct 2026
Status: this preprint is currently under review for the journal ESSD.

Vertical profiling of the troposphere: Innovation, optimization and application, Part I (VITAL I)

Ulrich Löhnert, Maike Ahlgrimm, Felix Ament, Jens Bange, Kjell zum Berge, Birger Bohn, Yann Büchau, Leonie Esters, Lars van Gelder, Yohanes R. S. Ginting, Luise Helmstreit, Tobias Marke, Marcus G. Müller, Patrizia Ney, Anika Obermann-Hellhund, Andreas Platis, Bernhard Pospichal, Alexander Pschera, Anja Rapmund, Mirjana Sakradzija, Martin Schön, Jan H. Schween, Maria Toporov, and Andreas Wieser

Abstract. Within VITAL I, a two-week data-set of novel types of Atmospheric Boundary Layer (ABL) profilers, that are being considered for the next-generation German Meteorological Service DWD observational network is made available. The data set is thoroughly tested and evaluated in the context of the WMO Rolling Requirements Review for short-term / high-resolution weather forecasting. VITAL I took place in August 2024 at the Jülich Observatory for Cloud Evolution JOYCE, which is a National Facility of the ACTRIS European Research Infrastructure Consortium. VITAL I is a core activity of the Hans Ertel Centre for Weather Research, a joint research initiative between German atmospheric research institutions and the German Meteorological Service DWD. Vertical profiling data sets of temperature, humidity and wind using multi-copter uncrewed aerial systems and the ground-based remote sensing profilers Doppler lidar, water vapor lidar and microwave radiometer were created and evaluated against radiosondes and data from a 120 m meteorological tower. Comparisons were also carried out against satellite sounders. Most tested ground-based systems are shown to fulfill the WMO RRR breakthrough requirements and are suited for capturing the diurnal cycle of the ABL. VITAL I also encompassed an international summer school that was simultaneously held at JOYCE to educate students from the Bachelor to PhD level in Modern Methods in Atmospheric Profiling. Data measured during VITAL I is available via https://doi.org/10.5281/zenodo.22960530, (Löhnert et al., 2026).

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Ulrich Löhnert, Maike Ahlgrimm, Felix Ament, Jens Bange, Kjell zum Berge, Birger Bohn, Yann Büchau, Leonie Esters, Lars van Gelder, Yohanes R. S. Ginting, Luise Helmstreit, Tobias Marke, Marcus G. Müller, Patrizia Ney, Anika Obermann-Hellhund, Andreas Platis, Bernhard Pospichal, Alexander Pschera, Anja Rapmund, Mirjana Sakradzija, Martin Schön, Jan H. Schween, Maria Toporov, and Andreas Wieser

Status: open (until 14 Nov 2026)

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Ulrich Löhnert, Maike Ahlgrimm, Felix Ament, Jens Bange, Kjell zum Berge, Birger Bohn, Yann Büchau, Leonie Esters, Lars van Gelder, Yohanes R. S. Ginting, Luise Helmstreit, Tobias Marke, Marcus G. Müller, Patrizia Ney, Anika Obermann-Hellhund, Andreas Platis, Bernhard Pospichal, Alexander Pschera, Anja Rapmund, Mirjana Sakradzija, Martin Schön, Jan H. Schween, Maria Toporov, and Andreas Wieser

Data sets

VITAL I: Vertical profiling of the troposphere: Innovation, optimization and application, Part I Ulrich Löhnert et al. https://doi.org/10.5281/zenodo.22960530

Ulrich Löhnert, Maike Ahlgrimm, Felix Ament, Jens Bange, Kjell zum Berge, Birger Bohn, Yann Büchau, Leonie Esters, Lars van Gelder, Yohanes R. S. Ginting, Luise Helmstreit, Tobias Marke, Marcus G. Müller, Patrizia Ney, Anika Obermann-Hellhund, Andreas Platis, Bernhard Pospichal, Alexander Pschera, Anja Rapmund, Mirjana Sakradzija, Martin Schön, Jan H. Schween, Maria Toporov, and Andreas Wieser
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Latest update: 08 Oct 2026
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Short summary
Accurate weather forecasts require detailed measurements of temperature, humidity and wind. During a two-week campaign in Germany, we tested innovative instruments against established measurement techniques and satellite observations. Most ground-based instruments met international performance requirements and successfully captured daily atmospheric changes. The publicly available dataset supports improved weather forecasting and the development of future weather observation networks.
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