Though it is common to find anecdotal evidence of meteorological systems working to better economic outcomes for various end-users, there is much work to be done quantifying this impact for specific systems and users. In this presentation, a close examination of the use of Oklahoma Mesonet information (particularly AgWeather) by crop producers reveals how this group is impacted by the data, products and services of this system. Through interviews with 21 producers around the state, a mental model of crop production is created using information collected with respect to the financial and production concerns of producers. This mental model depicts the way weather information affects production decisions as part of a risk framework. This study finds that producers use the Oklahoma Mesonet most as a part of risk-minimization, which helps them achieve their financial goals (particularly during planting, irrigation, and chemical application). Next, an econometric agriculture model is developed to show how mesonet information and Agweather may affect crop yields statewide. Finally, a bounded cost savings estimate is made based on information provided by producers, combined with agricultural statistics and census information from the US Department of Agriculture.