Multiscale Data Assimilation

Multiscale Data Assimilation is a data assimilation framework that integrates observational and model data across multiple spatial and temporal scales to improve the representation of oceanic processes by explicitly accounting for scale-dependent interactions and uncertainties.

68

Publications

6.6K

Citations

283

Authors

128

Institutions

Publications per year

2017–2026

25

Authors

283

  1. ZL
    Zhijin Li

    Jet Propulsion Laboratory, United States

    5 publications · 218 citations

    5

    h-index

  2. XW
    Xuguang Wang

    University of Oklahoma, United States

    5 publications · 336 citations

    5

    h-index

  3. PR
    Peter R. Oke

    CSIRO Oceans and Atmosphere, Australia

    4 publications · 318 citations

    4

    h-index

  4. MP
    Ming Pan

    Princeton University, United States

    4 publications · 1.5K citations

    4

    h-index

  5. EF
    Eric F. Wood

    Princeton University, United States

    4 publications · 1.5K citations

    4

    h-index

1–5 of 283

Venues

  1. Monthly Weather Review

    15 publications · 2.2K citations

    14

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 4 publications · 1.5K citations

    4

    h-index

  3. Journal of Applied Meteorology

    3 publications · 686 citations

    3

    h-index

  4. Journal of Hydrometeorology

    3 publications · 98 citations

    3

    h-index

  5. Continental Shelf Research

    3 publications · 93 citations

    3

    h-index

1–5