How the Chaos Theory is Defeated in the Yabu Meteorological Station, Cuba
نویسندگان
چکیده
In this work, 8 weather variables were modeled at the Yabu meteorological station, Cuba, a daily database from of extreme temperatures, humidity and their average value, precipitation, was used. The force wind cloudiness corresponding to period 1977 2021, linear mathematical model is obtained through methodology Regressive Objective Regression (ROR) for each variable that explains behavior, depending on these 15, 13, 10 years in advance. It concluded models allow long-term forecast weather, opening new possibility forecast, concluding chaos time can be overcome if way predicting used, calculation mean error regarding persistence cloud cover, while better humidity, allows have valuable information long term locality, which results decision making different aspects economy society are impacted by forecast. first an ROR has been applied processes specific day 8, 10, 13 15
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ژورنال
عنوان ژورنال: Journal of biomedical research & environmental sciences
سال: 2021
ISSN: ['2766-2276']
DOI: https://doi.org/10.37871/jbres1348