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- W4365152080 abstract "Context. The so called AGW (Anthropogenic Global Warming), is based on thousands of climate simulations that indicate that human activity is virtually solely responsible for the recent global warming. The climate models used are derived from the meteorological models used for short-term predictions. They are based on the fundamental and empirical physical laws that govern the myriad of atmospheric and oceanic cells integrated by the finite element technique. Numerical approximations, empiricism and the inherent chaos in fluid circulations make these models questionable for validating the anthropogenic principle, given the accuracy required (better than one per thousand) in determining the Earth energy balance. Aims and methods. The purpose is to quantify and simulate behavioral models of weak complexity, without referring to predefined parameters of the underlying physical laws, but relying exclusively on generally accepted historical and paleoclimate series. Results. These models perform global temperature simulations that are consistent with those from the more complex physical models. However, the repartition of contributions in the present warming depends strongly on the retained temperature reconstructions, in particular the magnitudes of the Medieval Warm Period and the Little Ice Age. It also depends on the level of the solar activity series. It results from these observations and climate reconstructions that the anthropogenic principle only holds for climate profiles assuming almost no PCA neither significant variations in solar activity. Otherwise, it reduces to a weak principle where global warming is not only the result of human activity, but is largely due to solar activity." @default.
- W4365152080 created "2023-04-13" @default.
- W4365152080 date "2023-03-16" @default.
- W4365152080 modified "2023-09-30" @default.
- W4365152080 title "From Behavioral Climate Models and Millennial Data to AGW Reassessment" @default.
- W4365152080 doi "https://doi.org/10.33140/eesrr.06.02.04" @default.
- W4365152080 hasPublicationYear "2023" @default.
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