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
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/21187324
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
usage stats
540
views
489
downloads
licence
CC BY 4.0
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
references
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
files (10)
- 7,915 bytesMD5:
f9f32d2ccea4a49bddc79ea2743e098c
README.txt - 628,767 bytesMD5:
96668f0f2ef3f3c46a0be76fa91d0ac1
annual_cycle_Tr_Te_E.nc - 73,389 bytesMD5:
b584e74aad292de695ced0474d3e041f
large_scale_model_Te.nc - 73,391 bytesMD5:
236f8c92f10abd90be27b7ef83aa3700
large_scale_model_Tr.nc - 11,187,835 bytesMD5:
916aab816a963bdd3b6d060ab1b31409
maps_climatology_Tr_Te.nc - 88,632 bytesMD5:
39b0e2c7e7bbcb2b7ffaf12ea1c34670
ncep_ncar_climatology_slp_wind.nc - 125,947 bytesMD5:
78b7ae61c161e5fb71856300f7f13333
ncep_ncar_monthly_eofs_pcs_nao_eap_scan_from_detrend_deseasonalized.nc - 27,855 bytesMD5:
20b74e0b51422bf34fe17272a94d769a
spatially-averaged_15-day-mean_Tr_Te.nc - 42,997 bytesMD5:
6ed18f174da88b9f0c523d8eb01d7a98
wind_based_model_Te.nc - 42,997 bytesMD5:
d808c09a770e700e4784db235e33f73b
wind_based_model_Tr.nc -
download all files (zip)
12,299,725 bytes unzipped