Observing System Simulation Experiments

Observing System Simulation Experiments is a scientific methodology in which synthetic observations are generated within a numerical model framework to evaluate the potential impact and design of hypothetical or existing ocean observing systems on data assimilation performance.

400

Publications

19.4K

Citations

1.5K

Authors

457

Institutions

Publications per year

2017–2026

160

Variants

Osses

Authors

1.5K

  1. RA
    Robert Atlas

    NOAA Atlantic Oceanographic and Meteorological Laboratories, United States

    21 publications · 1.3K citations

    16

    h-index

  2. JG
    J. G. Anderson

    NSF National Center for Atmospheric Research, United States

    16 publications · 607 citations

    14

    h-index

  3. TM
    Takemasa Miyoshi

    University of Maryland, College Park, United States

    15 publications · 1.1K citations

    13

    h-index

  4. RN
    Ross N. Hoffman

    Atmospheric and Environmental Research, United States

    12 publications · 624 citations

    12

    h-index

  5. MX
    Ming Xue

    University of Oklahoma, United States

    11 publications · 657 citations

    11

    h-index

1–5 of 1.5K

Venues

  1. Monthly Weather Review

    84 publications · 4.5K citations

    38

    h-index

  2. 19

    h-index

  3. Journal of Atmospheric and Oceanic Technology

    27 publications · 1.1K citations

    19

    h-index

  4. Atmospheric chemistry and physics

    19 publications · 1K citations

    18

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 19 publications · 1.4K citations

    17

    h-index

1–5