Wind Field Reconstruction

Wind Field Reconstruction is a computational method that belongs to the class of environmental data assimilation techniques, specifically distinguished by its purpose of inferring high-resolution spatiotemporal wind speed and direction fields from sparse or incomplete observational data during extreme wind events.

177

Publications

6.8K

Citations

583

Authors

267

Institutions

Publications per year

2017–2026

67

Authors

583

  1. DS
    David Schlipf

    University of Stuttgart, Germany

    6 publications · 238 citations

    6

    h-index

  2. PW
    Po Wen Cheng

    University of Stuttgart, Germany

    5 publications · 167 citations

    5

    h-index

  3. LY
    Lucy Y. Pao

    University of Colorado Boulder, United States

    4 publications · 149 citations

    4

    h-index

  4. YL
    Yu‐Chieng Liou

    National Central University, Taiwan

    3 publications · 145 citations

    3

    h-index

  5. MC
    M. Conde

    University of Alaska Fairbanks, United States

    3 publications · 76 citations

    3

    h-index

1–5 of 583

Venues

  1. Journal of Atmospheric and Oceanic Technology

    9 publications · 451 citations

    9

    h-index

  2. Monthly Weather Review

    9 publications · 442 citations

    9

    h-index

  3. 7

    h-index

  4. 7

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 6 publications · 592 citations

    6

    h-index

1–5