Microburst Detection

Microburst Detection is a radar echo classification method that identifies localized, short-lived downdrafts in convective storms characterized by strong, divergent winds at the surface, distinguishing it from broader storm-scale identification techniques by focusing on small-scale, high-impact wind phenomena.

48

Publications

2.1K

Citations

135

Authors

63

Institutions

Publications per year

2017–2026

9

Authors

135

  1. TT
    Tetsuya Theodore. Fujita

    University of Chicago, United States

    5 publications · 409 citations

    5

    h-index

  2. RL
    Roland L. Bowles

    Langley Research Center, United States

    4 publications · 73 citations

    4

    h-index

  3. JM
    John McCarthy

    NSF National Center for Atmospheric Research, United States

    3 publications · 477 citations

    4

    h-index

  4. RM
    Roger M. Wakimoto

    University of California, Los Angeles, United States

    3 publications · 186 citations

    3

    h-index

  5. MM
    Marilyn M. Wolfson

    Massachusetts Institute of Technology, United States

    3 publications · 60 citations

    3

    h-index

1–5 of 135

Venues

  1. NASA Technical Reports Server (NASA)

    Repository · 5 publications · 99 citations

    5

    h-index

  2. Bulletin of the American Meteorological Society

    BAMS · 2 publications · 140 citations

    3

    h-index

  3. Journal of Atmospheric and Oceanic Technology

    3 publications · 42 citations

    3

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 3 publications · 98 citations

    3

    h-index

  5. Monthly Weather Review

    2 publications · 181 citations

    2

    h-index

1–5