Observation Gap Filling

Observation Gap Filling is a methodological framework in geomagnetic observatory science that reconstructs missing or irregularly sampled geomagnetic time series data through interpolation, modeling, or data assimilation techniques to ensure temporal continuity and data integrity.

52

Publications

4.1K

Citations

239

Authors

149

Institutions

Publications per year

2017–2026

29

Authors

239

  1. DK
    Dmitri Kondrashov

    University of California, Los Angeles, United States

    3 publications · 454 citations

    3

    h-index

  2. CB
    Christian Bernhofer

    Technische Universität Dresden, Germany

    2 publications · 658 citations

    2

    h-index

  3. RC
    Ruyin Cao

    Beijing Normal University, China

    2 publications · 297 citations

    2

    h-index

  4. AN
    Alexander N. Gorban

    University of Leicester, United Kingdom

    2 publications · 28 citations

    2

    h-index

  5. XZ
    Xiaolin Zhu

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 213 citations

    2

    h-index

1–5 of 239

Venues

  1. Remote Sensing of Environment

    4 publications · 355 citations

    4

    h-index

  2. Agricultural and Forest Meteorology

    4 publications · 875 citations

    4

    h-index

  3. Remote Sensing

    3 publications · 191 citations

    3

    h-index

  4. Astronomy and Astrophysics

    2 publications · 154 citations

    2

    h-index

  5. Geophysical Research Letters

    2 publications · 99 citations

    2

    h-index

1–5