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

Abstract. Meteorological reanalyses are crucial datasets in atmospheric research, providing the foundation for many scientific applications. However, most reanalyses follow a Eulerian framework, providing data at specific, fixed points in space and time. This fixed-location approach is suitable for many scientific analyses, but studies focused on transport in the atmosphere would benefit from a Lagrangian framework, which provides data along dynamic, continuous trajectories following the movement of air. To achieve this, the Lagrangian particle dispersion model FLEXPART was driven offline with data from ECMWF’s (European Centre for Medium-Range Weather Forecasts) latest reanalysis, ERA5, to convert the Eulerian ERA5 data into a Lagrangian format. FLEXPART utilises the grid-scale winds from ERA5 and stochastic parameterisations of turbulence and convection to advect particles in a domain-filling mode, where the global atmosphere is represented by 6 million particles that move freely in the atmosphere, with their number density following closely the density of air. The resulting new Lagrangian Reanalysis (LARA: https://doi.org/10.5281/zenodo.14639472, Bakels, 2025) dataset has been stored in an easily searchable database and made accessible to researchers all over the world. It will enable a wide range of studies, including global and regional analyses of extreme events, water and energy transport in the atmosphere, and atmospheric energy budgets. Here, we describe the data format and how the data can be accessed and analysed. Using four examples, we give a non-exhaustive list of possible applications for which LARA could be used for. We show methods for how the evolution of air masses and their properties can be studied and how climatologies can be established. Our examples include a study of the evolution of the Hadley cell circulation, a climatology of warm conveyor belt events, a measure of continentality based on the time it takes for air to reach land from the ocean, and an evaluation of the dynamical consistency between subsequent ERA5 meteorological fields.

Authors

Publication Details

Journal
Earth system science data
Published
2025-09-18
DOI
https://doi.org/10.5194/essd-17-4569-2025
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Lucie Bakels, Michael Blaschek, Marina Dütsch, Andreas Plach et al.
Earth system science data
Climate variability and models
article

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

Lucie Bakels, Michael Blaschek, Marina Dütsch, Andreas Plach, Gary L. Brack, Vincent Lechner, A. Stohl, Leopold Haimberger
article en

Abstract

Abstract. Meteorological reanalyses are crucial datasets in atmospheric research, providing the foundation for many scientific applications. However, most reanalyses follow a Eulerian framework, providing data at specific, fixed points in space and time. This fixed-location approach is suitable for many scientific analyses, but studies focused on transport in the atmosphere would benefit from a Lagrangian framework, which provides data along dynamic, continuous trajectories following the movement of air. To achieve this, the Lagrangian particle dispersion model FLEXPART was driven offline with data from ECMWF’s (European Centre for Medium-Range Weather Forecasts) latest reanalysis, ERA5, to convert the Eulerian ERA5 data into a Lagrangian format. FLEXPART utilises the grid-scale winds from ERA5 and stochastic parameterisations of turbulence and convection to advect particles in a domain-filling mode, where the global atmosphere is represented by 6 million particles that move freely in the atmosphere, with their number density following closely the density of air. The resulting new Lagrangian Reanalysis (LARA: https://doi.org/10.5281/zenodo.14639472, Bakels, 2025) dataset has been stored in an easily searchable database and made accessible to researchers all over the world. It will enable a wide range of studies, including global and regional analyses of extreme events, water and energy transport in the atmosphere, and atmospheric energy budgets. Here, we describe the data format and how the data can be accessed and analysed. Using four examples, we give a non-exhaustive list of possible applications for which LARA could be used for. We show methods for how the evolution of air masses and their properties can be studied and how climatologies can be established. Our examples include a study of the evolution of the Hadley cell circulation, a climatology of warm conveyor belt events, a measure of continentality based on the time it takes for air to reach land from the ocean, and an evaluation of the dynamical consistency between subsequent ERA5 meteorological fields.

Earth system science dataVol. 17(9)
Openalex Percentile: Top 76%
Climate variability and models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.