LATTIN: A Python-based tool for Lagrangian atmospheric moisture and heat tracking
Albenis Pérez‐Alarcón, José C. Fernández‐Alvarez, Raquel Nieto, Luís Gimeno
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.
Topics & Concepts
Python (programming language)LagrangianWeather Research and Forecasting ModelMeteorologyEnvironmental scienceMoistureAtmospheric researchComputer scienceMathematicsApplied mathematicsGeographyOperating systemMeteorological Phenomena and SimulationsClimate variability and modelsCryospheric studies and observations