Database of oceanographic anomalies and atmospheric surface fluxes for the study of climate change in the Brazilian Northeast.
Keywords:SODA, TROPFLUX, GPCP, Anomalies, Brazilian Northeast
This paper presents three datasets of anomalies of oceanic physical parameters and surface atmospheric fluxes in the northeast region of Brazil, geographically limited by 42.5°W - 29.75°W / 20.5°S - 1.25°N, calculated from the SODA, TROPFLUX and GPCP datasets. The DASAF-BNE (Daily Anomalies of the Surface Atmospheric Fluxes of the Brazilian Northeast), DRA-BNE (Daily Rainfall Anomalies in the Brazilian Northeast), and MAOP-BNE (Monthly Anomalies of Oceanographic Parameters in the Brazilian Northeast) datasets are generated with 0.25° resolution bilinearly interpolating the original datasets. This database includes four files in NetCDF format, which facilitates its handling due to the diversity of freeware tools that exist, DASAF-BNE and DRA-BNE have a daily frequency, while MAOP-BNE has a monthly frequency. This database is mainly intended to research climate changes in the Brazilian Northeast.
ADLER, R.F. et al. The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present), Journal of Hydrometeorology, American Meteorological Society, 4 (6), 1147–1167, 2003. DOI: https://doi.org/10.1175/1525-7541(2003)004<1147:tvgpcp>2.0.co;2
CARTON, J. A.; GIESE, B. S. A Reanalysis of Ocean Climate Using Simple Ocean Data Assimila-tion (SODA), Monthly Weather Review, American Meteorological Society, 136 (8), 2999–3017, 2008. DOI: https://doi.org/10.1175/2007mwr1978.1
PIERCE, D. W. ncview: a netCDF visual browser, Scripps Institution of Oceanography, 2016. Available at <http://meteora.ucsd.edu/pierce/ncview_home_page.html>. Accessed in 2021-07-01.
KUMAR, B. P. et al. TropFlux: air-sea fluxes for the global tropical oceans-description and evaluation, Climate Dynamics, Springer Science and Business Media LLC, 38 (7–8), 1521–1543, 2011. DOI: https://doi.org/10.1007/s00382-011-1115-0
SCHULZWEIDA, U. CDO user’s guide. Hamburg: Climate data operators version 1.0.1. Max-Planck-Institute for Meteorology, 2006. Available at <https://src.fedoraproject.org/lookaside/pkgs/cdo/cdo.pdf/90a93037089dddf6f8919b9d6c30bff7/cdo.pdf>. Accessed in 2021-11-12.
VARONA, H. L. mNC: A tool for Oceanographers and Meteorologists to easily create their NetCDF files using Matlab (1.0), Zenodo, 2021a. DOI: https://doi.org/10.5281/zenodo.5572749
VARONA, H. L. CalcPlotAnomaly: Matlab function set for the calculation and plotting of anomalies (1.01), Zenodo, 2021b. DOI: https://doi.org/10.5281/zenodo.5576889
ZENDER, C. S. Analysis of self-describing gridded geoscience data with netCDF Operators (NCO), In Environmental Modelling & Software, 23 (10–11), 1338–1342, Elsevier BV, 2008. DOI: https://doi.org/10.1016/j.envsoft.2008.03.004
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