  This study explores how different weather conditions influence public
sentiment on social media, focusing on Twitter data from the UK. By considering
climate and linguistic baselines, we improve the accuracy of weather-related
sentiment analysis. Our findings show that emotional responses to weather are
complex, influenced by combinations of weather variables and regional language
differences. The results highlight the importance of context-sensitive methods
for better understanding public mood in response to weather, which can enhance
impact-based forecasting and risk communication in the context of climate
change.
