Colorado State University and the Cornell Lab of Ornithology have developed a system called BirdCast that uses machine learning & two decades of historical bird movement data to develop daily bird migration forecasts for the United States.
Bird migration forecasts show predicted nocturnal migration 3 hours after local sunset and are updated every 6 hours. These forecasts come from models trained on the last 23 years of bird movements in the atmosphere as detected by the US NEXRAD weather surveillance radar network. In these models we use the Global Forecasting System (GFS) to predict suitable conditions for migration occurring three hours after local sunset.
The map above is the migration forecast for tonight — overall, warmer temperatures and increased bird movement are predicted for the next week or two. They also maintain up-to-the hour records of migration activity detected by the US weather surveillance radar network; this was the activity early this morning at 3:10am ET:
If the current & predicted bird radar maps were a part of the weather report on the local news, I might start watching again.
Tags: USA artificial intelligence birds mapsfrom kottke.org https://ift.tt/3t4xzmx
via IFTTT
EmoticonEmoticon