Robert C. Bundgaard
American Meteorological Society Oral History Project
The American Meteorological Society Oral History Project (AMSOHP) aims to capture the history of the atmospheric sciences as told by scientists, administrators, and others working in the field. The collection is especially rich in interviews that capture the memories of scientists who launched much of the innovative meteorological research in post-war America.
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On September 16, 1998, Diane Rabson and Melvin Holzman interviewed Robert C. Bundgaard for the American Meteorological Society's Tape Recorded Interview Project at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. Bundgaard, born in Denver in 1918, is the son of Danish immigrants. His early education sparked a dual interest in mathematics and music, which eventually led him to meteorology. He studied at the University of Denver and later obtained a master's degree from Columbia University, focusing on probability theory. The interview covers Bundgaard’s extensive career in meteorology, beginning with his work during World War II. He describes his role in the U.S. Army Air Corps, where he was drafted in 1942. After training in meteorology at UCLA under prominent figures such as Jac Bjerknes and Jorgen Holmboe, Bundgaard became involved in weather forecasting for military operations. He shares his experiences with long-range weather forecasting, which became crucial during pivotal moments such as Operation Overlord (D-Day). His work involved developing regression techniques for forecasting and utilizing early computing technologies. Bundgaard also discusses his involvement in various weather operations during the war, including his participation in the strategic bombing campaign known as "Operation Argument" in 1944. The interview provides insights into the challenges of wartime meteorology, including the collaboration between different forecasting units and the critical decision-making process leading up to D-Day. Bundgaard reflects on the internal conflicts within the weather forecasting teams and the pressures of providing accurate predictions under immense operational stakes.
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