Data for reproducing the figures from the manuscript "Atmospherically Driven Seasonal and Interannual Variability in the Lagrangian Transport Time Scales of a Multiple-inlet Coastal System"

DOI:10.4121/21187324.v1
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DOI: 10.4121/21187324

Datacite citation style

Fajardo-Urbina, Jeancarlo Manuel; Duran-Matute, Matias; Herman Clercx; Gerkema, Theo; Grawe, Ulf et. al. (2023): Data for reproducing the figures from the manuscript "Atmospherically Driven Seasonal and Interannual Variability in the Lagrangian Transport Time Scales of a Multiple-inlet Coastal System". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21187324.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The data in this repository can be used for reproducing the figures from the manuscript "Atmospherically Driven Seasonal and Interannual Variability in the Lagrangian Transport Time Scales of a Multiple-inlet Coastal System".

This data was used to:

  • Explore and understand the seasonality and interannual variability of the Lagrangian Transport Time Scales (LTTS), in particular the residence and exposure times.
  • Understand the impact of the local wind on the LTTS.
  • Study the role of the large-scale atmospheric circulation and patterns on the LTTS.

The data is also stored in the GitHub repository (https://github.com/JeancarloFU/paper_Winds_AtmPatterns_Seasonal_Interannual_TTS_MultipleInlet). In this repository, scripts, and notebooks (based on Python v3.8) used to reproduce the figures of this study are archived.

History

  • 2023-04-06 first online, published, posted

Publisher

4TU.ResearchData

Format

NetCDF

Funding

  • NWO/ENW project: "The Dutch Wadden Sea as an event-driven system: long-term consequences for exchange (LOCO-EX)"

Organizations

- Fluids and Flows group, Department of Applied Physics, Eindhoven University of Technology.
- Leibniz Institute for Baltic Sea Research Warnemunde, Rostock, Germany.
- Department of Estuarine and Delta Systems, NIOZ Royal Netherlands Institute for Sea Research.

DATA

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