Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4569-2025
https://doi.org/10.5194/essd-17-4569-2025
Data description paper
 | 
18 Sep 2025
Data description paper |  | 18 Sep 2025

LARA: a Lagrangian Reanalysis based on ERA5 spanning from 1940 to 2023

Lucie Bakels, Michael Blaschek, Marina Dütsch, Andreas Plach, Vincent Lechner, Georg Brack, Leopold Haimberger, and Andreas Stohl

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Cited articles

Arnold, D., Maurer, C., Wotawa, G., Draxler, R., Saito, K., and Seibert, P.: Influence of the meteorological input on the atmospheric transport modelling with FLEXPART of radionuclides from the Fukushima Daiichi nuclear accident, J. Environ. Radioact., 139, 212–225, https://doi.org/10.1016/j.jenvrad.2014.02.013, 2015. a
Baier, K., Duetsch, M., Mayer, M., Bakels, L., Haimberger, L., and Stohl, A.: The Role of Atmospheric Transport for El Niño-Southern Oscillation Teleconnections, Geophys. Res. Lett., 49, e2022GL100906, https://doi.org/10.1029/2022GL100906, 2022. a
Bakels, L.: LARA analysis data, Zenodo [data set], https://doi.org/10.5281/zenodo.14639472, 2025. a, b
Bakels, L., Tatsii, D., Tipka, A., Thompson, R., Dütsch, M., Blaschek, M., Seibert, P., Baier, K., Bucci, S., Cassiani, M., Eckhardt, S., Groot Zwaaftink, C., Henne, S., Kaufmann, P., Lechner, V., Maurer, C., Mulder, M. D., Pisso, I., Plach, A., Subramanian, R., Vojta, M., and Stohl, A.: FLEXPART version 11: improved accuracy, efficiency, and flexibility, Geosci. Model Dev., 17, 7595–7627, https://doi.org/10.5194/gmd-17-7595-2024, 2024. a, b, c, d, e, f, g, h, i, j, k
Bakels, L., Blaschek, M., Dütsch, M., Plach, A., Lechner, V., Brack, G., Haimberger, L., and Stohl, A.: LARA: a Lagrangian Reanalysis based on ERA5 spanning from 1940 to 2023, PHAIDRA [data set], https://phaidra.univie.ac.at/o:2121554 (last access: 25 August 2025), 2025. a, b, c
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Short summary
Meteorological reanalyses are crucial datasets. Most reanalyses are Eulerian, providing data at specific, fixed points in space and time. When studying how air moves, it is more convenient to follow air masses through space and time, requiring a Lagrangian Reanalysis (LARA). We explain how the LARA dataset is organised and provide four examples of applications. These include studying the evolution of wind patterns, understanding weather systems, and measuring air mass travel time over land.
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