Explores predicting climate change through linear response operators, focusing on the nonequilibrium nature of the climate system and the challenges of climate predictability.
Explores maximum solutions and their applications in modeling population growth, economic scenarios, and climate, with a focus on exponential growth interpretation and tropical days prediction.
Explores error estimation in numerical methods for solving ordinary differential equations, emphasizing the impact of errors on solution accuracy and stability.
Explores error estimation in numerical methods for solving differential equations, focusing on local truncation error, stability, and Lipschitz continuity.
Explores the evolution of climate models and the latest IPCC findings on climate sensitivity, including ECS estimation and constraints from observations and paleoclimate records.