Hydrodynamic and TS Structure Dataset of the São Francisco and Parnaiba Brazilian Rivers

Authors

DOI:

https://doi.org/10.53805/lads.v2i1.47

Keywords:

Hydrodynamics, Ocean currents, ROMS model, TS vertical structure, River plume numerical simulation

Abstract

Running a numerical simulation with the ROMS model in the regions of the mouths and plumes of the São Francisco and Parnaiba rivers, this dataset was obtained. It is the result of two scenarios, one of them taking into account the tides and the other not. It consists of 50 files (in NetCDF format) divided into 25 for each of the mentioned scenarios. Among the 25 files, 1 corresponds to the spatial discretization parameters of the input; 12 corresponds to the numer-ical simulation in the Parnaiba River and the remaining 12 to the São Francisco River. These files contain the daily average of all input and output parameters of the simulations. The ROM-STOOLS scripting package was used to prepare the input data. The ROMS model input was the surface forcings from the COADS dataset; the WOA09 and SODA datasets were used as initial and lateral boundary conditions, respectively. The bathymetry was taken from ETOPO2 and the tide was acquired from the TPXO7 satellite product. The hydrodynamics and TS structure data contained in this dataset are useful for physical oceanographers to study the thermodynamics of the waters and other physical processes occurring in the mouth and plume region of the São Francisco and Parnaiba Rivers. It is also useful for chemical and biological oceanographers to study the behavior of nutrients, chlorophyll and primary productivity.

Author Biographies

Tonia A. Capuano, Federal University of Pernambuco

 

     

Humberto L. Varona, Federal University of Pernambuco

 

     

Moacyr Araujo, Federal University of Pernambuco

 

     

Ariane Koch-Larrouy, Laboratoire d’Etudes en Géophysique et Océanographie Spatiales

 

     

References

CAPUANO, T. A.; ARAUJO, M.; SILVA, M.; VARONA, H. L.; CAMBON, G.; KOCH-LARROUY, A. T-S and hydrodynamical structures within the deltaic regions and continental platforms adjacent to two northeastern Brazilian rivers, Regional Studies in Marine Science, Elsevier BV, 51, 102219, 2022a. DOI: https://doi.org/10.1016/j.rsma.2022.102219

CAPUANO, T. A., VARONA, H. L., ARAUJO, M., KOCH-LARROUY, A. High-resolution hydrodynamics and TS structure database of the Brazilian continental shelf and adjacent waters, Data in Brief, Elsevier BV, 108210, 2022b. DOI: https://doi.org/10.1016/j.dib.2022.108210

DA SILVA, A.M.; YOUNG-MOLLING, C.C.; LEVITUS, S. Atlas of Surface Marine Data 1994, vol. 1. Algorithms and Procedures, NOAA Atlas NESDIS, NOAA, Silver Spring, 6, 1994.

DEBREU, L.; MAZAURIC, C. Adaptive Grid Refinement (AGRIF) in Fortran 90: Users Guide Ver-sion 1.3, 2006. Available at <http://www-lmc.imag.fr/IDOPT/AGRIF/index.html>. Accessed in 2021-11-14

DE SANTANA, C. S.; LIRA, S. M. de A.; VARONA, H. L.; NEUMANN-LEITÃO, S.; ARAUJO, M.; SCHWAMBORN, R. Amazon river plume influence on planktonic decapods in the tropical Atlan-tic. Journal of Marine Systems, Elsevier BV, 212, 103428, 2020. DOI: https://doi.org/10.1016/j.jmarsys.2020.103428

LARGE, W. G.; MCWILLIAMS, J. C.; DONEY S. C. Oceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization, Rev. Geophys., 32 (4), 363-403, 1994. DOI: https://doi.org/10.1029/94rg01872

MARCHESIELLO P.; MCWILLIAMS J. C.; SHCHEPETKIN A. F. Open boundary conditions for long-term integration of regional oceanic models, Ocean Modelling, Elsevier BV, 3 (1-2), 1–20, 2001. DOI: https://doi.org/10.1016/s1463-5003(00)00013-5

PENVEN, P.; DEBREU, L.; MARCHESIELLO, P.; MCWILLIAMS, J. C. Evaluation and application of the ROMS 1-way embedding procedure to the central california upwelling system. Ocean Mod-elling, Elsevier BV, 12 (1-2), 157–187, 2006. DOI: https://doi.org/10.1016/j.ocemod.2005.05.002

PENVEN, P.; CAMBON, G.; TAN, T. A.; MARCHESIELLO, P.; DEBREU, L. ROMSTOOLS user’s guide. Rapport techn., IRD and LPO/UBO, Laboratoire de Physique des Oceans, Universite de Bretagne Occidentale/UFR Sciences, 2003.

SCHULZWEIDA, U. CDO user’s guide. Hamburg: Climate data operators version 1.0.1, 2006. Max-Planck-Institute for Meteorology. Available at <https://src.fedoraproject.org/lookaside/pkgs/cdo/cdo.pdf/90a93037089dddf6f8919b9d6c30bff7/cdo.pdf>. Accessed in 2021-12-03.

SHCHEPETKIN, A. F.; MCWILLIAMS J. C. A method for computing horizontal pressure-gradient force in an oceanic model with a nonaligned vertical coordinate, Geophys. Res., 108 (C3), 3090, 2003. DOI: https://doi.org/10.1029/ 2001JC001047

SHCHEPETKIN, A.F.; MCWILLIAMS, J.C. The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinates oceanic model. Ocean Modelling, Else-vier BV, 9, 347–404, 2005. DOI: https://doi.org/10.1016/j.ocemod.2004.08.002

SILVA, A. C.; ARAUJO, M.; MEDEIROS, C.; SILVA, M.; BOURLES, B. Seasonal changes in the mixed and barrier layers in the western equatorial Atlantic. Brazilian Journal of Oceanography, 53 (3-4), 83-98, 2005.

SILVA, A. C.; BOURLES, B.; ARAUJO, M. Circulation of the thermocline salinity maximum waters off the Northern Brazil as inferred from in situ measurements and numerical results. Annales Geophysicae, 27 (1), 1861-1873, 2009a. DOI: https://doi.org/10.5194/angeo-27-1861-2009

SILVA, A. C.; ARAUJO, M.; BOURLES, B. Seasonal variability of the Amazon River plume during REVIZEE Program, Tropical Oceanography, 38 (1), 76 - 87, 2010. Available at <https://www.academia.edu/download/50437749/Contatos_SEASONAL_VARIABILITY_OF_THE_AMA20161120-11739-1sjva1m.pdf>. Accessed in 2022-01-03

SILVA, M.; ARAUJO, M.; SEVAIN, J.; PENVEN, P.; LENTINI, C.A.D. High-resolution regional ocean dynamics simulation in the southwestern tropical Atlantic. Ocean Modelling, Elsevier BV, 30, 256–269, 2009b. DOI: https://doi.org/10.1016/j.ocemod.2009.07.002

SMITH, W. H. F.; SANDWELL, D. T. Global seafloor topography from satellite altimetry and ship depth soundings. Science, American Association for the Advancement of Science (AAAS), 277 (5334), 1956–1962, 1997. DOI: https://doi.org/10.1126/science.277.5334.1956

VARONA, H. L. Circulation, transport and dispersion of hydrocarbon plumes in the North Brazili-an equatorial broadband. Doctoral dissertation, Universidade Federal de Pernambuco, 2018. Available at <https://repositorio.ufpe.br/handle/123456789/31799>. Accessed in 2022-01-01

VARONA H. L.; ARAUJO, M. Hydro-thermodynamic dataset of the Amazon River Plume and North Brazil Current retroflection, Data in Brief, Elsevier BV, 40, 107705, 2022. DOI: https://doi.org/10.1016/j.dib.2021.107705

VARONA H. L.; SILVA M. A.; VELEDA, D. R.; LEITE, F. S.; das Chagas Moura, M.; ARAUJO, M. In-fluence of Underwater Hydrodynamics on Oil and Gas Blowouts Off Amazon River Mouth, Trop-ical Oceanography, 46 (1), 26-52, 2018. DOI: https://doi.org/10.5914/tropocean.v46i1.237249

VARONA H. L.; VELEDA, D.; SILVA, M.; CINTRA, M.; ARAUJO, M. 2019. Amazon River plume in-fluence on Western Tropical Atlantic dynamic variability. Dynamics of Atmospheres and Oceans, Elsevier BV, 85, 1-15, 2019. DOI: https://doi.org/10.1016/j.dynatmoce.2018.10.002

ZENDER, C. S. Analysis of self-describing gridded geoscience data with NetCDF Operators (NCO), 2008, In Environmental Modelling & Software, 23 (10–11), 1338–1342, Elsevier BV. DOI: https://doi.org/10.1016/j.envsoft.2008.03.004

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Published

03-06-2022

How to Cite

A. CAPUANO, T. .; L. VARONA, H. .; ARAUJO, M.; KOCH-LARROUY, A. Hydrodynamic and TS Structure Dataset of the São Francisco and Parnaiba Brazilian Rivers. Latin American Data in Science, [S. l.], v. 2, n. 1, p. 13–20, 2022. DOI: 10.53805/lads.v2i1.47. Disponível em: https://ojs.datainscience.com.br/index.php/lads/article/view/47. Acesso em: 15 oct. 2024.

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