A machine learning approach to wind estimation and uncertainty using remote dropsondes and deterministic forecasts

A machine learning approach to wind estimation and uncertainty using remote dropsondes and deterministic forecasts

Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 100-102). === The U.S. Air force currently has a need for high altitude, unguided airdrops without making tw...

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Bibliographic Details
Main Author: Plyler, Mitchell
Other Authors: Kerri Cahoy.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2017
Subjects:
Aeronautics and Astronautics.
Online Access:http://hdl.handle.net/1721.1/112476

Internet

http://hdl.handle.net/1721.1/112476

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