Ориентировочный прогноз зимних температур в горном Крыму с учетом субоптимального набора факторов
DOI:
https://doi.org/10.15587/2313-8416.2014.28595Słowa kluczowe:
прогнозирование, средние температуры зимнего сезона, Ай Петри, множественно-регрессионная модельAbstrakt
Предложена методика поиска факторов, использование которых в качестве аргументов множественно-регрессионной модели изменений средних температур приземного слоя атмосферы зимнего сезона в Горном Крыму, позволяет получить ориентировочные прогнозы данных характеристик, обладающие наибольшей точностью при упреждениях 1–4 года, при условии, что в будущем статистические связи между ними сохранятся неизменными. Разработан прогноз до 2020 года.
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