A generalized fractional system for modeling climate change and emissions: analysis, numerical solutions with a case study
摘要
In this study, the dynamics and emissions of climate change in Baghdad, Iraq, are modeled using generalized fractional differential operators. The study uses fractional derivatives to incorporate time-memory effects and simulates the relationships between atmospheric carbon concentration, surface temperature, and emission rates using a fractional system of equations. The unique climatic conditions of Baghdad, including temperature fluctuations, precipitation patterns, and emissions, are reflected in the climate model. The aim is to produce a more realistic depiction of future climate scenarios by modifying the fractional system to take these local elements into account, with a particular emphasis on the effects of temperature increases and emission reductions. Unlike prior climate–carbon models that rely on integer-order or classical fractional operators, our formulation introduces a generalized Caputo derivative with multi-parameter gamma kernels