LATTIN: A Python-based tool for Lagrangian atmospheric moisture and heat tracking

Published in Software Impacts, 2024

Recommended citation: Pérez-Alarcón, A.; Fernández-Alvarez, J.C.; Nieto, R.; Gimeno, L. (2024). LATTIN: A Python-based tool for Lagrangian atmospheric moisture and heat tracking. Software Impacts, 20, 100638. https://doi.org/10.1016/j.simpa.2024.100638

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Abstract

LATTIN is a Python-based tool for Lagrangian atmospheric moisture and heat tracking. It can read input data from the Lagrangian FLEXPART and FLEXPART-WRF models. Features include parallel reading of atmospheric parcel trajectories and user custom threshold criteria. It complements and improves existing tools by including several tracking approaches and also by its non-dependence on the horizontal resolution of the input or output grid. LATTIN provides a compact tool for Lagrangian atmospheric moisture and heat tracking, which will support a wide range of research to understand future changes in the hydrological cycle and extreme temperature events.

Keywords: Lagrangian analysis, Atmospheric moisture and heat tracking, FLEXPART, Moisture sources, Heat sources, Python