Forecast error with different integration steps.

<div><p>Based on phase space reconstruction theory, the root mean square error is used as a quantitative criterion for identifying the appropriate embedding dimension and time step and selecting the optimal configuration for these factors. The phase space is then reconstructed, and the c...

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Bibliographic Details
Main Author:	Lei Hu (316011) (author)
Other Authors:	Zhuoma Sunu (20314963) (author), Hongke She (20314966) (author), Binghuai Fan (20314969) (author), Jingru Ma (12321501) (author), Chaojiu Da (20314972) (author)
Published:	2024
Subjects:	Sociology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified surface air temperature ideal test results driving factor affecting 1948 – 2022 div >< p appropriate embedding dimension causality research based embedding dimension whereas variable unidirectional manner time step time series theoretically guarantees quantitative criterion phase space optimal configuration observation data numerical solutions meteorological data mapping algorithm lorenz equation integration step first discussed dynamic perspective determining causality determine causality convergent cross climate indices causality among
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Forecast error with different integration steps.

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