Dynamical Anomalies in Complex Systems: Application in Climate Science

• Grant number: 24/22136-6
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• Start date: April 01, 2025
• End date: March 31, 2026
• Field of knowledge: Physical Sciences and Mathematics - Physics - General Physics
• Principal Investigator: Francisco Aparecido Rodrigues
• Grantee: Matheus Palmero Silva
• Supervisor: Jurgen Herbert Gustav Kurths
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Institution abroad: Potsdam Institute for Climate Impact Research, Germany
• Associated to the scholarship: 23/07704-5 - Recurrence and dynamical anomalies in non-linear systems and complex networks, BP.PD

Abstract

In this project, we intend to explore the application of recurrence-based methods for climate data, specifically focusing on detecting relevant conditions and parameters associated with tipping points and extreme events mainly driven by climate change. By integrating insights from nonlinear dynamics with machine learning techniques, we aim to uncover hidden patterns and dynamical anomalies within climate systems, using both simulation and real-world data. Although the methodology has been partially developed and successfully applied in diverse contexts, this internship would significantly enhance its applicability by refining tools for tracking and predicting critical transitions within climate studies. This advancement could provide a suitable framework for identifying early warning signals, thereby supporting efforts to mitigate the impacts of climate change and better understand the mechanisms underlying extreme events.