Formation control of unmanned aerial vehicles is a popular topic with a diverse base of control algorithms. While these algorithms have been demonstrated in simulation and in some flight tests, very few of them address the impact of wind disturbances on the system. Even fewer if any address wind over water or a spatially distributed wind field. We use a statistical wind over water model that can be used with a spreading function to produce a spatial wind field for application to any number of vehicles over time. This wind field definition is then used to determine the impact three different wind conditions (mean wind speed = 1, 5, and 10 m/s) have on a quadrotor's ability to 1) station keep and 2) follow a trajectory. Two control algorithms are examined to compare their performance in the wind field: 1) a PID controller and 2) a specific quadrotor controller defined by Mellinger and Kumar that computes the desired body forces and moments to follow a specified trajectory.