A more comprehensive model of allergenic pollen emissions was developed by researchers at Rutgers. The model, using a mixed statistical and mechanistic approach, estimates ragweed and oak pollen emissions based on detailed vegetation maps, and the effects of temperature, relative humidity, and wind patterns, including the effects of re-suspension. This is reported as the first model able to reproduce the north-to-south seasonal pattern of ragweed pollen onset. The model offers a new tool for short-term pollen concentration predictions (incorporated in a mobile app Apple or Google), but also for the effects of long-term environmental changes.