North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset I

  1. Coll-Hidalgo, Patricia 1
  2. Nieto, Raquel 1
  3. Fernandez, Jose Carlos 1
  4. GIMENO, LUIS 1
  1. 1 Centro de Investigación Mariña, Universidade de Vigo, Environmental Physics Laboratory (EPhysLab), Campus As Lagoas s/n, 32004 Ourense, Spain.

Editor: Zenodo

Ano de publicación: 2024

Tipo: Dataset

CC BY 4.0

Resumo

Extratropical cyclones (ECs) are the focus of many open questions, spanning from weather to climate and from local to global scales. The relationship between moisture uptake and precipitation over different mesoscale EC structures remains poorly understood. The availability of moisture parameters to the scientific community through tracer dispersion models benefits the representation of the processes involving moisture, the dynamics of ECs and the understanding of the associated meteorological fields. In this study, we present a database for North Atlantic EC tracks and a Lagrangian-Derived Moisture Uptake Dataset, both of which are derived from dynamically downscaled ERA5 reanalysis data. We provide moisture parameters such as the total moisture uptake, its vertical distribution by layer, and shapefiles of EC structures to facilitate further studies in this area. Our data have been thoroughly validated to ensure that the storm tracks and their characteristics are accurately represented in the model without distortion. Additionally, we conduct a series of experiments to demonstrate the rigour and quality of the methods employed to generate the data. *You are in the repository that contains the year's dataset between 1985-1999* Repository for years:2000-2016: https://doi.org/10.5281/zenodo.114768352017-2022: https://doi.org/10.5281/zenodo.11476925