BirdCast- tracking birds in real time.
The BirdCast program is one of the most innovative developments in modern ornithology, transforming how scientists and birdwatchers understand migration. In essence, BirdCast is a system that tracks and predicts bird migration in real time, much like a weather forecast—but for birds.
BirdCast is a collaborative research project led by the Cornell Lab of Ornithology along with several universities. Its central goal is to answer three fundamental questions about migration: when birds are moving, where they are going, and how many are in the air. These are questions that, until recently, were largely answered through indirect methods such as banding, visual counts, or field observations. BirdCast has revolutionized this by using technology originally designed for an entirely different purpose: weather radar.
The program relies heavily on the U.S. network of weather surveillance radar (NEXRAD). These radars constantly scan the atmosphere to detect precipitation, but they also pick up biological targets such as birds, bats, and insects. By applying machine learning and signal-processing techniques, BirdCast scientists can filter out weather and isolate the movements of birds. From this data, they can estimate the number of birds aloft, their flight direction, speed, and even altitude.
One of BirdCast’s most impressive features is its ability to produce migration forecasts. Using decades of radar data combined with weather models, the system predicts migration intensity up to several days in advance. These forecasts are presented as color-coded maps, where brighter colors indicate heavier migration. Typically, the predictions focus on the period a few hours after sunset, when most North American migrants—especially songbirds—are traveling at night.
In addition to forecasts, BirdCast provides live migration maps, showing actual bird movement as it happens across the United States. These maps are updated frequently throughout the night and allow users to see waves of migration sweeping across regions. There are also local migration alerts, which tell users whether migration in their specific area will be low, medium, or high on a given night. For birdwatchers, this is invaluable: it allows them to anticipate when a morning outing might be especially productive.
The scale of migration revealed by BirdCast is staggering. On peak nights, the system has documented more than a billion birds moving across North America in a single evening. What was once invisible—vast nocturnal migrations occurring overhead—is now measurable and visible to both scientists and the public.
Beyond its value to birders, BirdCast has important conservation applications. Because it can identify nights of especially heavy migration, it enables targeted actions to reduce human-caused bird mortality. For example, cities can dim lights during peak migration periods to reduce collisions with buildings, a major cause of death for migratory birds. The data can also inform the placement and operation of wind turbines and other infrastructure.
Perhaps most importantly, BirdCast represents a shift in how migration is studied. Instead of relying solely on ground-based observations, ornithologists now have a continental-scale, real-time view of bird movement. It turns migration from something episodic and local into something dynamic and measurable across entire landscapes.
For birdwatchers—especially those interested in migration ecology—BirdCast adds a new dimension to the experience. It allows you to step outside in the morning and know that, during the night, thousands or even millions of birds may have passed overhead. That awareness deepens not only the practice of birding but also our appreciation of one of the most extraordinary phenomena in the natural world.