Using a dynamic factor model with stochastic volatility, we examine the synchronization of temperature and precipitation changes across 166 countries and regions. Firstly, the model allows us to quantify the extent of the increase in global tempera- tures. Secondly, it offers a unique measure of how each country’s temperatures align with this common global movement, translating into a robust indicator of regional exposure to global warming. Our findings reveal that a common factor explains a significant portion of temperature variance globally, with the largest contribution observed in sub-Saharan Africa, Latin America, and Asia. Additionally, the com- mon factor accounts for the increase in temperature levels across these regions. In contrast, precipitation fluctuations exhibit more localized patterns. We find that countries with higher GDP per-capita have lower exposure to global temperature changes.