Metodología para localizar la Zona de Convergencia Intertropical usando velocidad de viento

Jorge Bravo Villegas
Jesus Portilla Yandun
Resumen

La localización de la Zona de Convergencia Intertropical (ITCZ) se puede establecer en función de la convergencia de corrientes de vientos alisios provenientes del hemisferio norte y sur. Esta zona tiene una gran relevancia climática pues incide directamente en la distribución de precipitaciones en las regiones ecuatoriales y tropicales a escala global. En este trabajo se desarrolla una metodología para localizar la ITCZ, empleando un algoritmo de convergencia en el campo vectorial de velocidades de viento obtenido del modelo de reanálisis atmosférico ERA Interim. Esta metodología resulta única, pues parte de un concepto robusto de análisis de gradientes y consigue un rango de la localización de la ITCZ en períodos de tiempo registrados históricamente, lo cual no se ha encontrado en estudios previos. La metodología consiste en una serie de algoritmos individuales que permiten limpiar, segmentar y depurar los datos de convergencia hasta obtener mapas que simplifican su visualización empleando MATLAB®. Se obtienen como resultado rangos estadísticos de la localización de la ITCZ en cada mes de 41 años de datos disponibles, patrones de desplazamiento meridional, y también mapas de contraste entre la localización mensual acumulada y la localización en meses de años en los que se manifestó El Niño Oscilación del Sur (ENSO) para mostrar una posible correlación.

DESCARGAS
Los datos de descarga aún no están disponibles.
Cómo citar
Metodología para localizar la Zona de Convergencia Intertropical usando velocidad de viento. (2023). Revista Tecnológica - ESPOL, 35(2), 61-75. https://doi.org/10.37815/rte.v35n2.1054

Referencias

Adams, R. M., Bryant, K. J., Mccarl, B. A., Legler, D. M., O’Brien, J., Solow, A., & Weiher, R. (1995). Value of Improved Long‐Range Weather Information. Contemporary Economic Policy, 13(3), 10–19. https://doi.org/10.1111/j.1465-7287.1995.tb00720.x

Back, L. E., & Bretherton, C. S. (2005). The relationship between wind speed and precipitation in the Pacific ITCZ. Journal of Climate, 18(20), 4317–4328. https://doi.org/10.1175/JCLI3519.1

Barry, R. G. (2003). Atmosphere, Weather and Climate. In Atmosphere, Weather and Climate. Routledge. https://doi.org/10.4324/9780203871027

Bechtold, P., Köhler, M., Jung, T., Doblas-Reyes, F., Leutbecher, M., Rodwell, M. J., Vitart, F., & Balsamo, G. (2018). Advances in simulating atmopheric variability with the ECMWF model: From synoptic to decadal time-scales. Quarterly Journal of the Royal Meteorological Society, 1227(July), 496. https://doi.org/10.1002/qj

Bellucci, A., Gualdi, S., & Navarra, A. (2010). The double-ITCZ syndrome in coupled general circulation models: The role of large-scale vertical circulation regimes. Journal of Climate, 23(5), 1127–1145. https://doi.org/10.1175/2009JCLI3002.1

Berrisford, P., Dee, D. P., Poli, P., Brugge, R., Fielding, M., Fuentes, M., Kållberg, P. W., Kobayashi, S., Uppala, S., & Simmons, A. (2011). The ERA-Interim archive Version 2.0. In ERA Report Series (ERA Report). ECMWF. https://www.ecmwf.int/node/8174

Bischoff, T., & Schneider, T. (2016). The equatorial energy balance, ITCZ position, and double-ITCZ bifurcations. Journal of Climate, 29(8), 2997–3013. https://doi.org/10.1175/JCLI-D-15-0328.1

Byrne, M. P., Pendergrass, A. G., Rapp, A. D., & Wodzicki, K. R. (2018). Response of the Intertropical Convergence Zone to Climate Change: Location, Width, and Strength. Current Climate Change Reports, 4(4), 355–370. https://doi.org/10.1007/s40641-018-0110-5

Colna, K. E. (2017). Latitudinal position and trends of the intertropical convergence zone (ITCZ) and its relationship with upwelling in the southern Caribbean Sea and global climate indices. University of South Florida.

Daescu, D. N. (2008). On the Sensitivity Equations of Four-Dimensional Variational (4D-Var) Data Assimilation. Monthly Weather Review, 136(8), 3050–3065. https://doi.org/10.1175/2007MWR2382.1

Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., … Vitart, F. (2011). The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137(656), 553–597. https://doi.org/10.1002/qj.828

ECMWF. (2017). 20 years of 4D-Var: better forecasts through a better use of observations. https://www.ecmwf.int/en/about/media-centre/news/2017/20-years-4d-var-better-forecasts-through-better-use-observations

Gagne, D. J. I. I. (2016). Coupling data science techniques and numerical weather prediction models for high-impact weather prediction.

García-Rojo, R. (2004). Algorithm for the estimation of the long-term wind climate at a meteorological mast using a joint probabilistic approach. Wind Engineering, 28(2), 213–224. https://doi.org/10.1260/0309524041211378

Ham, Y.-G., & Kug, J.-S. (2014). Effects of Pacific Intertropical Convergence Zone precipitation bias on ENSO phase transition. Environmental Research Letters, 9(6), 64008. https://doi.org/10.1088/1748-9326/9/6/064008

Houtekamer, P. L., & Mitchell, H. L. (1998). Data assimilation using an ensemble Kalman filter technique. Monthly Weather Review, 126(3), 796–811.

Hu, Y., Li, D., & Liu, J. (2007). Abrupt seasonal variation of the ITCZ and the Hadley circulation. Geophysical Research Letters, 34(18). https://doi.org/https://doi.org/10.1029/2007GL030950

Keshtgar, B., Alizadeh-Choobari, O., & Irannejad, P. (2020). Seasonal and interannual variations of the intertropical convergence zone over the Indian Ocean based on an energetic perspective. Climate Dynamics, 54(7–8), 3627–3639. https://doi.org/10.1007/s00382-020-05195-5

Koutavas, A., deMenocal, P. B., Olive, G. C., & Lynch-Stieglitz, J. (2006). Mid-Holocene El Niño–Southern Oscillation (ENSO) attenuation revealed by individual foraminifera in eastern tropical Pacific sediments. Geology, 34(12), 993–996. https://doi.org/10.1130/G22810A.1

Lashkari, H., Mohammadi, Z., & Keikhosravi, G. (2017). Annual Fluctuations and Displacements of Inter Tropical Convergence Zone (ITCZ) within the Range of Atlantic Ocean-India. Open Journal of Ecology, 07(01), 12–33. https://doi.org/10.4236/oje.2017.71002

Marshall, J., & Plumb, R. A. (2008). Atmosphere, Ocean, and Climate Dynamics. In Zhurnal Eksperimental’noi i Teoreticheskoi Fiziki. http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:No+Title#0

McPhaden, M. J., Zebiak, S. E., & Glantz, M. H. (2006). ENSO as an Integrating Concept in Earth Science. Science, 314(5806), 1740–1745. https://doi.org/10.1126/science.1132588

Mlsna, P. A., & Rodriguez, J. J. (2009). Gradient and Laplacian edge detection. In The essential guide to image processing (pp. 495–524). Elsevier.

Mu, M., Yu, Y., Xu, H., & Gong, T. (2014). Similarities between optimal precursors for ENSO events and optimally growing initial errors in El Niño predictions. Theoretical and Applied Climatology, 115(3), 461–469. https://doi.org/10.1007/s00704-013-0909-x

Münnich, M., & Neelin, J. D. (2005). Seasonal influence of ENSO on the Atlantic ITCZ and equatorial South America. Geophysical Research Letters, 32(21), 1–4. https://doi.org/10.1029/2005GL023900

Philander, S. G. H., Gu, D., Halpern, D., Lambert, G., Lau, N. C., Li, T., & Pacanowski, R. C. (1996). Why the ITCZ is mostly north of the equator. In Journal of Climate (Vol. 9, Issue 12, pp. 2958–2972). https://doi.org/10.1175/1520-0442(1996)009<2958:WTIIMN>2.0.CO;2

Schneider, T., Bischoff, T., & Haug, G. H. (2014). Migrations and dynamics of the intertropical convergence zone. Nature, 513(7516), 45–53. https://doi.org/10.1038/nature13636

Sulca, J., Takahashi, K., Espinoza, J.-C., Vuille, M., & Lavado-Casimiro, W. (2018). Impacts of different ENSO flavors and tropical Pacific convection variability (ITCZ, SPCZ) on austral summer rainfall in South America, with a focus on Peru. International Journal of Climatology, 38(1), 420–435. https://doi.org/https://doi.org/10.1002/joc.5185

Vincent, D. G. (1994). The South Pacific Convergence Zone (SPCZ): A Review. Monthly Weather Review, 122(9), 1949–1970. https://doi.org/10.1175/1520-0493(1994)122<1949:TSPCZA>2.0.CO;2

Waliser, D. E., & Gautier, C. (1993). A satellite-derived climatology of the ITCZ. In Journal of Climate (Vol. 6, Issue 11, pp. 2162–2174). https://doi.org/10.1175/1520-0442(1993)006<2162:ASDCOT>2.0.CO;2

Wallace, J. M., & Hobbs, P. V. (2006). Atmospheric Science An introductory survey. In International Geophysics Series (Second). Elsevier.

Warf, B. (2014). Atmospheric Circulation. In Encyclopedia of Geography. Encyclopædia Britannica. https://doi.org/10.4135/9781412939591.n63

Xu, H., Xie, S. P., Wang, Y., & Small, R. J. (2005). Effects of Central American Mountains on the Eastern Pacific Winter ITCZ and moisture transport. Journal of Climate, 18(18), 3856–3873. https://doi.org/10.1175/JCLI3497.1

Žagar, N., Andersson, E., & Fisher, M. (2005). Balanced tropical data assimilation based on a study of equatorial waves in ECMWF short-range forecast errors. Quarterly Journal of the Royal Meteorological Society, 131(607), 987–1011. https://doi.org/10.1256/qj.04.54

Žagar, N., Skok, G., & Tribbia, J. (2011). Climatology of the ITCZ derived from ERA Interim reanalyses. Journal of Geophysical Research: Atmospheres, 116(D15). https://doi.org/10.1029/2011JD015695

Artículos similares

También puede Iniciar una búsqueda de similitud avanzada para este artículo.