Version (1.1.10) — LATTIN: A Python-based tool for Lagrangian atmospheric moisture and heat trackingImage 999

Software Impacts 2026 Open access

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Authors: Albenis Pérez-Alarcón, Raquel Nieto, Luis Gimeno
DOI: 10.1016/j.simpa.2026.100834
Cited by: 2
References: 30

Abstract

We present an updated version (v1.1.10) of the Lagrangian Atmospheric Moisture and Heat Tracking (LATTIN) tool. LATTIN facilitates research on the hydrological cycle and extreme temperature events by tracing the origins of moisture and heat. This updated version includes the following new features: a Lagrangian precipitation estimation over the target region, a dry intrusion analysis, and a simple bias-correction method for moisture sources based on observed precipitation. Furthermore, we have also included a temperature anomaly decomposition approach. The data reading process has also significantly improved, including FLEXPART v11 outputs and LARA reanalysis compatibility, and parallelization strategies.

Fields of Study & Subjects

Meteorological Phenomena and Simulations Computational Physics and Python Applications Soil Moisture and Remote Sensing

Publication details

Journal / source
Software Impacts
Publisher
Elsevier BV
Volume
28
Pages
100834–100834
Publication date
4 April 2026
Language
EN