There is an urgent need for policy-makers to design comprehensive and robust adaptation policies for agricultural households in the Global South facing climate risks, including changes in temperature and precipitation, droughts and floods. Today, many promoted policies implement standardized adaptation programs, which cater to certain farmers but also neglect others who might not be able or willing to partake in proposed strategies. These programs are therefore incomplete and do not attend to the broader set of vulnerabilities faced by diverse households. This project asks: How can policy-makers develop comprehensive adaptation policies across regional socio-environmental systems using information on the processes of adoption of potential adaptation strategies for individual farmers? Using baseline farmer surveys collected by the CGIAR program on Climate Change Agriculture and Food Security (CCAFS) project in the North Indian region, we will use statistical analyses and social modelling tools, namely Agent Based Models, to model the emergent adaptation behavior of 1400 farmers in response to hydro-meteorological and climatic risks using indicators such as their risk perceptions, livelihoods, access to resources, socioeconomic status, and other social variables (religion, culture, education etc.). Our proposed research addresses the significant methodological challenge of understanding system-wide and dynamic regional adaptation behavior among individual farm households. This will provide policymakers with information on key cross-scale dynamics to better develop specific and tailored adaptation programs that reflect the reality of household decision-making contexts and support diverse and differentiated farmer adaptation decisions.