Published

2011-07-01

Detecting low frequency cycles in rainfall series from Colombian coffee-growing area by using descriptive methods

Authors

  • Andrés J Peña Q
  • Álvaro Jaramillo R.
  • María J Paternina Q
Descriptive statistical methods were used for improving climatic variability scenarios regarding rainfall using time series from five representative pluviometric stations (Miguel Valencia, Naranjal, Cenicafé, La Bella and Paraguaicito); such scenarios are used to make decisions regarding coffee-growing. The purpose was to find signs of cyclic behaviour besides those associated with El Niño Southern Oscillation (ENSO) which happens every 3.5 to 4.5 years.  Signals were found of decadal to interdecadalcycle (10 to 30 years), modulating known ENSO effects related to periodic changes in the Pacific Ocean and solar activity.

How to Cite

APA

Peña Q, A. J., Jaramillo R., Álvaro and Paternina Q, M. J. (2011). Detecting low frequency cycles in rainfall series from Colombian coffee-growing area by using descriptive methods. Earth Sciences Research Journal, 15(2), 109–114. https://revistas.unal.edu.co/index.php/esrj/article/view/27299

ACM

[1]
Peña Q, A.J., Jaramillo R., Álvaro and Paternina Q, M.J. 2011. Detecting low frequency cycles in rainfall series from Colombian coffee-growing area by using descriptive methods. Earth Sciences Research Journal. 15, 2 (Jul. 2011), 109–114.

ACS

(1)
Peña Q, A. J.; Jaramillo R., Álvaro; Paternina Q, M. J. Detecting low frequency cycles in rainfall series from Colombian coffee-growing area by using descriptive methods. Earth sci. res. j. 2011, 15, 109-114.

ABNT

PEÑA Q, A. J.; JARAMILLO R., Álvaro; PATERNINA Q, M. J. Detecting low frequency cycles in rainfall series from Colombian coffee-growing area by using descriptive methods. Earth Sciences Research Journal, [S. l.], v. 15, n. 2, p. 109–114, 2011. Disponível em: https://revistas.unal.edu.co/index.php/esrj/article/view/27299. Acesso em: 10 mar. 2025.

Chicago

Peña Q, Andrés J, Álvaro Jaramillo R., and María J Paternina Q. 2011. “Detecting low frequency cycles in rainfall series from Colombian coffee-growing area by using descriptive methods”. Earth Sciences Research Journal 15 (2):109-14. https://revistas.unal.edu.co/index.php/esrj/article/view/27299.

Harvard

Peña Q, A. J., Jaramillo R., Álvaro and Paternina Q, M. J. (2011) “Detecting low frequency cycles in rainfall series from Colombian coffee-growing area by using descriptive methods”, Earth Sciences Research Journal, 15(2), pp. 109–114. Available at: https://revistas.unal.edu.co/index.php/esrj/article/view/27299 (Accessed: 10 March 2025).

IEEE

[1]
A. J. Peña Q, Álvaro Jaramillo R., and M. J. Paternina Q, “Detecting low frequency cycles in rainfall series from Colombian coffee-growing area by using descriptive methods”, Earth sci. res. j., vol. 15, no. 2, pp. 109–114, Jul. 2011.

MLA

Peña Q, A. J., Álvaro Jaramillo R., and M. J. Paternina Q. “Detecting low frequency cycles in rainfall series from Colombian coffee-growing area by using descriptive methods”. Earth Sciences Research Journal, vol. 15, no. 2, July 2011, pp. 109-14, https://revistas.unal.edu.co/index.php/esrj/article/view/27299.

Turabian

Peña Q, Andrés J, Álvaro Jaramillo R., and María J Paternina Q. “Detecting low frequency cycles in rainfall series from Colombian coffee-growing area by using descriptive methods”. Earth Sciences Research Journal 15, no. 2 (July 1, 2011): 109–114. Accessed March 10, 2025. https://revistas.unal.edu.co/index.php/esrj/article/view/27299.

Vancouver

1.
Peña Q AJ, Jaramillo R. Álvaro, Paternina Q MJ. Detecting low frequency cycles in rainfall series from Colombian coffee-growing area by using descriptive methods. Earth sci. res. j. [Internet]. 2011 Jul. 1 [cited 2025 Mar. 10];15(2):109-14. Available from: https://revistas.unal.edu.co/index.php/esrj/article/view/27299

Download Citation

Article abstract page views

178

Downloads

Download data is not yet available.

License

Earth Sciences Research Journal holds a Creative Commons Attribution license. 

You are free to:

Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.