Published October 18, 2021 | Version 1.01
Software Open

CalcPlotAnomaly: Matlab function set for the calculation and plotting of anomalies

Creators

  • 1. Department of Oceanography (DOCEAN)/Federal University of Pernambuco (UFPE)

Description

Matlab function set for the calculation and plotting of anomalies

Notes

Humberto L. Varona acknowledges the TRIATLAS project, which has received funding from the European Union's Horizon 2020 Research and Innovation Program under grant agreement no. 817578. Moacyr Araujo acknowledges the support of the Brazilian Research Network on Global Climate Change-Rede CLIMA (FINEP grants 01.13.0353-00). This work is a contribution to the Projects INCT AmbTropic–Brazilian National Institute of Science and Technology for Tropical Marine Environments (grants 565054/2010-4, 625 8936/2011, and 465634/2014-1, CNPq/FAPESB/CAPES), and to the International Joint Laboratory TAPIOCA (IRD-UFPE-UFRPE).

Files

humbertovarona/CalcPlotAnomaly-1.01.zip

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Additional details

Related works

Is supplement to
https://github.com/humbertovarona/CalcPlotAnomaly/tree/1.01 (URL)

Funding

TRIATLAS – Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management 817578
European Commission

References

  • Varona, H. L., Hernandez, F., Bertrand, A., & Araujo, M. (2022). Monthly anomaly database of atmospheric and oceanic parameters in the tropical Atlantic ocean. In Data in Brief (Vol. 41, p. 107969). Elsevier BV. https://doi.org/10.1016/j.dib.2022.107969
  • Varona, H. L., Araujo, M., Silva, M., Maida, M., & Ferreira, B. P. (2022). Database of oceanographic anomalies and atmospheric surface fluxes for the study of climate change in the Brazilian Northeast. In Latin American Data in Science (Vol. 2, Issue 1). Data in Science Editora ltda. https://doi.org/10.53805/lads.v2i1.39
  • Casals, R., Varona, H. L., Calzada, A. E., Lentini, C. A. D., Noriega, C., Borges, D. M., Lira, S. M. A., Santana, C. S. de, Araujo, M., Schwamborn, R., & Rodriguez, A. (2022). A dataset of Oceanographic and biogeochemical anomalies in the Caribbean Sea. In Latin American Data in Science (Vol. 2, Issue 1, pp. 30–53). Data in Science Editora ltda. https://doi.org/10.53805/lads.v2i1.50