2024
DOI: 10.1016/j.simpa.2024.100638
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LATTIN: A Python-based tool for Lagrangian atmospheric moisture and heat tracking

Albenis Pérez-Alarcón,
José C. Fernández-Alvarez,
Raquel Nieto
et al.
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Cited by 4 publications
(1 citation statement)
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“…Finally, we obtained the spatial distribution of the moisture sources by summing the fractional moisture contribution of all parcels in the atmospheric column over each grid of 1 • × 1 • . This Lagrangian moisture source approach has been coded in the Lagrangian atmospheric moisture and heat tracking tool (LATTIN; Pérez-Alarcón et al, 2024).…”
Section: Lagrangian Moisture-tracking Methodsmentioning
confidence: 99%
“…Finally, we obtained the spatial distribution of the moisture sources by summing the fractional moisture contribution of all parcels in the atmospheric column over each grid of 1 • × 1 • . This Lagrangian moisture source approach has been coded in the Lagrangian atmospheric moisture and heat tracking tool (LATTIN; Pérez-Alarcón et al, 2024).…”
Section: Lagrangian Moisture-tracking Methodsmentioning
confidence: 99%