Idealized hydrodynamical numerical model dataset with no-river runoff at the western tropical North Atlantic.

Amazon River Dataset Hydro-thermodynamics Matlab NetCDF No-River runoff ROMS model Western tropical Atlantic

Journal

Open research Europe
ISSN: 2732-5121
Titre abrégé: Open Res Eur
Pays: Belgium
ID NLM: 9918230081006676

Informations de publication

Date de publication:
2023
Historique:
accepted: 31 03 2023
medline: 30 8 2023
pubmed: 30 8 2023
entrez: 30 8 2023
Statut: epublish

Résumé

The western tropical North Atlantic (WTNA) is a very complex region, with the influence of intense western boundary currents in connection with equatorial zonal currents, important atmospheric forcings (e.g Intertropical Convergence Zone), mesoscale activities (e.g NBC rings), and the world's largest river discharge as the Amazon River runoff. The volume discharge is equivalent to more than one-third of the Atlantic river freshwater input, with a plume that spreads over the region reaching the northwestward Caribbean Sea and eastward longitudes of 30°W, and influencing from physical to biological structures. Therefore, in order to enable and encourage more understanding of the region, here we present a dataset based on an idealized scenario of no river runoff of the Amazon River and Par ´a River in the WTNA. The numerical simulations were conducted with a regional oceanic modeling system (ROMS) model and three pairs of files were generated with the model outputs: (i) ROMS-files, with the parameters of the ROMS-outputs raw data in a NetCDF format and monthly and weekly frequencies; (ii) MATLAB-files, which contain oceanographic parameters also in monthly and weekly frequencies; and (iii) NetCDF-files, with oceanographic parameters again in monthly and weekly frequencies. For each file, we present the coordinates and variable names, descriptions, and correspondent units. The dataset is available in the Science Data Bank repository (doi: https://doi.org/10.57760/sciencedb.02145).

Identifiants

pubmed: 37645488
doi: 10.12688/openreseurope.15747.1
pmc: PMC10446047
doi:

Types de publication

Journal Article

Langues

eng

Pagination

67

Informations de copyright

Copyright: © 2023 Varona HL et al.

Déclaration de conflit d'intérêts

No competing interests were disclosed.

Références

Data Brief. 2021 Dec 11;40:107705
pubmed: 34977294

Auteurs

Humberto L Varona (HL)

Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Federal University of Pernambuco, Recife, Pernambuco, 50740-550, Brazil.

Julia Araujo (J)

Brazilian Research network on Global Climate Change (Rede CLIMA), INPE, São José dos Campos, São Paulo, 12227-010, Brazil.

Moacyr Araujo (M)

Brazilian Research network on Global Climate Change (Rede CLIMA), INPE, São José dos Campos, São Paulo, 12227-010, Brazil.

Marcus Silva (M)

Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Federal University of Pernambuco, Recife, Pernambuco, 50740-550, Brazil.

Classifications MeSH