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. 2017 Jul 19;7:5811. doi: 10.1038/s41598-017-05373-2

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Time series of the predicted (dashed lines) versus observed (solid lines) seasonal precipitation anomalies over North Amazon (top), South Amazon (middle), and Nordeste (bottom). The predicted and observed time series of rainfall deficits are used to calculate coefficient of determination (R²) for the calibration (1982–2001) and validation (2002–2017) periods. Compared to South Amazon and Nordeste, the predicted anomalies explain the rainfall variability better over North Amazon. The model prediction for 2016 rainfall deficits closely resemble the observations over North Amazon yet, substantially underestimate the deficits observed over South Amazon and Nordeste. Figures created with: The NCAR Command Language (Version 6.3.0) [Software]. (2016). Boulder, Colorado: UCAR/NCAR/CISL/TDD. http://dx.doi.org/10.5065/D6WD3XH5.