Sounding Data Quality Control

Sounding Data Quality Control is a systematic methodological framework within atmospheric science that ensures the accuracy, consistency, and reliability of vertical profile measurements obtained from tropical atmospheric soundings by identifying, correcting, and filtering observational errors and artifacts.

37

Publications

4.9K

Citations

186

Authors

67

Institutions

Publications per year

2017–2026

4

Authors

186

  1. PE
    Paul E. Ciesielski

    Colorado State University, United States

    4 publications · 219 citations

    4

    h-index

  2. RH
    Richard H. Johnson

    Colorado State University, United States

    4 publications · 219 citations

    4

    h-index

  3. JW
    Junhong Wang

    NSF National Center for Atmospheric Research, United States

    3 publications · 201 citations

    3

    h-index

  4. SM
    Scot M. Loehrer

    NSF National Center for Atmospheric Research, United States

    3 publications · 216 citations

    3

    h-index

  5. WS
    William Schreiner

    University Corporation for Atmospheric Research, United States

    2 publications · 384 citations

    2

    h-index

1–5 of 186

Venues

  1. Journal of Atmospheric and Oceanic Technology

    4 publications · 466 citations

    4

    h-index

  2. Monthly Weather Review

    2 publications · 39 citations

    2

    h-index

  3. Bulletin of the American Meteorological Society

    BAMS · 2 publications · 78 citations

    2

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 74 citations

    2

    h-index

  5. Journal of Climate

    2 publications · 1.1K citations

    2

    h-index

1–5