Hydroclimate modeling is a research field and methodological approach focused on simulating and understanding the complex interactions and feedbacks between atmospheric processes and the terrestrial water cycle. It investigates how hydroclimatic states, variability, and extremes respond to various natural and anthropogenic forcings, including climate change, utilizing diverse computational models ranging from process-based to advanced physics-informed machine learning approaches. Its significance lies in providing essential frameworks for projecting future hydroclimatic conditions, assessing climate change impacts on water resources, and informing strategies for managing hydroclimatic risks.