TY - GEN
T1 - Approximate Bayesian inference for reconstructing velocities of migrating birds from weather radar
AU - Sheldon, Daniel
AU - Farnsworth, Andrew
AU - Irvine, Jed
AU - Van Doren, Benjamin
AU - Webb, Kevin
AU - Dietterich, Thomas G.
AU - Kelling, Steve
PY - 2013
Y1 - 2013
N2 - Archived data from the WSR-88D network of weather radars in the US hold detailed information about the continent-scale migratory movements of birds over the last 20 years. However, significant technical challenges must be overcome to understand this information and harness its potential for science and conservation. We present an approximate Bayesian inference algorithm to reconstruct the velocity fields of birds migrating in the vicinity of a radar station. This is part of a larger project to quantify bird migration at large scales using weather radar data.
AB - Archived data from the WSR-88D network of weather radars in the US hold detailed information about the continent-scale migratory movements of birds over the last 20 years. However, significant technical challenges must be overcome to understand this information and harness its potential for science and conservation. We present an approximate Bayesian inference algorithm to reconstruct the velocity fields of birds migrating in the vicinity of a radar station. This is part of a larger project to quantify bird migration at large scales using weather radar data.
UR - http://www.scopus.com/inward/record.url?scp=84893422640&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893422640&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84893422640
SN - 9781577356158
T3 - Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013
SP - 1334
EP - 1340
BT - Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013
T2 - 27th AAAI Conference on Artificial Intelligence, AAAI 2013
Y2 - 14 July 2013 through 18 July 2013
ER -