Surface-layer Similarity

Surface-Layer Similarity is a theoretical framework in boundary-layer meteorology that generalizes the vertical profiles of mean wind, temperature, and humidity in the atmospheric surface layer by expressing them as universal functions of dimensionless stability parameters, thereby enabling the prediction of turbulent fluxes based on local observations.

113

Publications

11.4K

Citations

301

Authors

135

Institutions

Publications per year

2017–2026

12

Authors

301

  1. JC
    J. C. Wyngaard

    Pennsylvania State University, United States

    7 publications · 4.1K citations

    7

    h-index

  2. OR
    Owen R. Coté

    United States Air Force Research Laboratory, United States

    4 publications · 3.7K citations

    4

    h-index

  3. SZ
    Sergej Zilitinkevich

    Finnish Meteorological Institute, Finland

    4 publications · 356 citations

    4

    h-index

  4. AH
    A.A.M. Holtslag

    Wageningen University & Research, Netherlands

    4 publications · 569 citations

    4

    h-index

  5. SP
    S. Pal Arya

    North Carolina State University, United States

    3 publications · 253 citations

    3

    h-index

1–5 of 301

Venues

  1. Journal of the Atmospheric Sciences

    23 publications · 2.9K citations

    20

    h-index

  2. 16

    h-index

  3. Boundary-Layer Meteorology

    11 publications · 388 citations

    11

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 6 publications · 251 citations

    6

    h-index

  5. Water Resources Research

    5 publications · 243 citations

    5

    h-index

1–5