Resource Data Assimilation

Resource Data Assimilation is a systematic computational framework that integrates observational marine energy resource data with numerical model predictions to improve the accuracy and spatial-temporal resolution of marine energy resource assessments.

41

Publications

1.9K

Citations

200

Authors

118

Institutions

Publications per year

2017–2026

13

Authors

200

  1. CA
    Christopher A. Edwards

    University of California, Santa Cruz, United States

    3 publications · 138 citations

    3

    h-index

  2. MA
    Marjorie A. M. Friedrichs

    William & Mary, United States

    3 publications · 218 citations

    3

    h-index

  3. AM
    Andrew M. Moore

    University of California, Santa Cruz, United States

    3 publications · 120 citations

    3

    h-index

  4. SA
    S. A. Margulis

    University of California, Los Angeles, United States

    2 publications · 62 citations

    2

    h-index

  5. WW
    Watson W. Gregg

    Goddard Space Flight Center, United States

    2 publications · 254 citations

    2

    h-index

1–5 of 200

Venues

  1. Journal of Marine Systems

    6 publications · 363 citations

    6

    h-index

  2. Water Resources Research

    3 publications · 216 citations

    3

    h-index

  3. Journal of Marine Research

    2 publications · 210 citations

    2

    h-index

  4. Remote Sensing

    2 publications · 51 citations

    2

    h-index

  5. Journal of Geophysical Research Oceans

    2 publications · 122 citations

    2

    h-index

1–5