Bibliographic citations
Calleja, J., (2023). Pronóstico de largo plazo de eventos “el niño” usando la detección de cooperatividad en humedad relativa y agua precipitable [Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/5836
Calleja, J., Pronóstico de largo plazo de eventos “el niño” usando la detección de cooperatividad en humedad relativa y agua precipitable []. PE: Universidad Nacional Agraria La Molina; 2023. https://hdl.handle.net/20.500.12996/5836
@misc{renati/243440,
title = "Pronóstico de largo plazo de eventos “el niño” usando la detección de cooperatividad en humedad relativa y agua precipitable",
author = "Calleja Rondinel, Jorge Augusto",
publisher = "Universidad Nacional Agraria La Molina",
year = "2023"
}
El Niño/Southern Oscillation (ENSO) is one of the large-scale weather phenomena that influences different parts of the world. This present work is dedicated to forecasting ENSO events “El Niño“ in the long term at least one year in advance, for which the meteorological variables were used: precipitable water and relative humidity that were obtained from the atmospheric model Reanalysis NCEP / NCAR I with a Spatial resolution of 7.5° x 7.5° covering between latitudes 30°S - 30°N and longitudes 120°E-60°W and a temporal resolution on a daily basis from the year 1950 to 2019. The cooperative behavior of the meteorological variables in the Tropical Pacific Ocean basin described by the temporal evolution of the teleconnections, which in turn are calculated by cross-correlation for every tenth day of the daily anomalies of the meteorological variables, was analyzed. For each correlation attributes the association between two time series with 365 previous data for each tenth day, the first located in the El Niño basin region (14 nodes) between latitudes 5°S-5°N and longitudes 160 °E-90°W and the other node, outside the El Niño basin (193 nodes). After calculating the cross-correlations, the link strength was found, which is the result of the maximum minus the average of the cross-correlations, divided by the standard deviation of the absolute value of the cross-correlations for each time under consideration. At the same time, the average of each individual link strength was calculated during the study period. For the forecast of an El Niño event, the acceptance threshold of the desired link strength was determined, this must be greater than the Niño 3.4 index (+ 0.5°C for at least 5 months) before the beginning of the year. The validation of the forecast was made by evaluating statistical measures such as the hit rate and false alarm, which were obtained as rates in the study period of 0.727 and 0.478 respectively, both in relative humidity and precipitable water.
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