Bolide fragment detection in Doppler weather radar data using artificial intelligence/machine learning-Reference-Cited by-同舟云学术

Bolide fragment detection in Doppler weather radar data using artificial intelligence/machine learning

Published:2021-07-27 Issue:8 Volume:56 Page:1585-1596
ISSN:1086-9379
Container-title:Meteoritics & Planetary Science
language:en
Short-container-title:Meteorit Planet Sci

Author:

Smeresky Brendon¹^ORCID,Abell Paul²^ORCID,Fries Marc²^ORCID,Hankey Mike³,Trigo‐Rodríguez Josep M.

Affiliation:

1. Department of Mechanical and Aerospace Engineering Naval Postgraduate School Monterey California 93943 USA

2. Astromaterials Research and Exploration Science (ARES) NASA Johnson Space Center Houston Texas 77058 USA

3. American Meteor Society Geneseo New York 14454 USA

Publisher

Wiley

Subject

Space and Planetary Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/maps.13718

Reference42 articles.

1. American Meteorological Society. 2019.American Meteorological Society: Glossary of meteorology[Online].http://glossary.ametsoc.org/wiki/Moment. Accessed October 9 2019.

2. Binghamton NY Weather Forecast Office and US Department of Commerce NOAA National Weather Service. 2019.WSR‐88D Binghamton’s (KBGM) upgrade to dual polarization [Online].https://www.weather.gov/bgm/eventsDualPol. Accessed August 24 2019.

3. The orbit, atmospheric dynamics, and initial mass of the Park Forest meteorite

4. The fall of the Grimsby meteorite-I: Fireball dynamics and orbit from radar, video, and infrasound records

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