Rainfall Patterns Associated with the Oceanic Niño Index in the Colombian Coffee Zone

  •  Andrés Peña-Q.    
  •  Carolina Ramírez-C.    
  •  L. Bermúdez-F.    
  •  Néstor Riaño-H.    


Farming is one of the most water-demanding activities in the world. In Colombia, a coffee crop planted with rust-resistant varieties requires between 1500 and 1800 mm of annual rainfall. Crop phenological stages such as flowering and production are determined by the behavior and amount of rainfall. The aim of this study was to evaluate the effect of the Oceanic Niño Index (ONI) on the cumulative rainfall for the Colombian coffee zone. Simple correlations between the Oceanic Niño Index and cumulative monthly rainfall level were analyzed. The correlation coefficient and the p-value were determined for each station analyzed and for each month of the year. The objective is to determine if the ONI could be used in a forecast by analogy—an old but effective method to make decisions in agriculture—and mainly to define adaptation strategies. We found that the relationship between the ONI and cumulative rainfall did not have a homogeneous behavior throughout the country. There are different behaviors, and those depend on the seasons and regions. ONI has a high impact on the rainfall of the dry seasons in the center and sometimes in the south of the country. However in the north, there are no significant effects of this index. It means that other indices should be used to quantify the effect of El Niño and La Niña on the rainfall of the Colombian coffee zone or, on the other way, the use of other climate variability triggers, such as the Pacific Decadal Oscillation or the North Atlantic Oscillation.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • Issn(Print): 1916-9752
  • Issn(Onlne): 1916-9760
  • Started: 2009
  • Frequency: monthly

Journal Metrics

(The data was calculated based on Google Scholar Citations)

  • Google-based Impact Factor (2016): 2.28
  • h-index (December 2017): 31
  • i10-index (December 2017): 304
  • h5-index (December 2017): 22
  • h5-median (December 2017): 27