The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project lies in addressing the critical challenge of inadequate weather forecasting due to the scarcity of in-situ atmospheric data over oceans and under-sampled regions. Improved forecasting can lead to better preparation for weather-related disasters, saving lives and property and aiding in climate adaptation efforts. The proposed project has significant potential impacts on society and the environment by enhancing the accuracy of weather forecasts globally. Accurate weather forecasting is critical for sectors such as agriculture, logistics, insurance, and renewable energy, and this project can contribute meaningfully to meet those needs. In agriculture, farmers may use hyper-local, high-accuracy forecasts to optimize planting, irrigation, and harvesting, potentially boosting agricultural output and improving food security in disaster-prone regions. Logistics companies could streamline shipping routes and reduce fuel costs by anticipating weather disruptions with greater accuracy. The insurance industry may leverage detailed weather data to better assess risks and offer more targeted coverage, saving billions in payouts due to inaccurate predictions. With days, not hours, of advance warning for hurricanes, floods, and other extreme events, thousands of lives can be saved each year, and economic losses reduced by billions. Governments and military agencies may gain unprecedented access to