Data-model Comparison

Data-Model Comparison is a scientific methodology in paleoclimatology that systematically evaluates the agreement between paleoclimate proxy data and climate model simulations to assess the accuracy and reliability of modeled past climate states.

289

Publications

19.3K

Citations

1.3K

Authors

585

Institutions

Publications per year

2017–2026

96

Variants

Data-model Intercomparison

Authors

1.3K

  1. DJ
    Daniel J. Lunt

    University of Bristol, United Kingdom

    23 publications · 2.7K citations

    20

    h-index

  2. PJ
    Paul J. Valdes

    University of Bristol, United Kingdom

    14 publications · 1.2K citations

    14

    h-index

  3. GR
    Gilles Ramstein

    Laboratoire des Sciences du Climat et de l'Environnement, France

    12 publications · 1.1K citations

    12

    h-index

  4. US
    Ulrich Salzmann

    Northumbria University, United Kingdom

    12 publications · 1.6K citations

    11

    h-index

  5. AM
    Alan M. Haywood

    University of Leeds, United Kingdom

    12 publications · 1.1K citations

    11

    h-index

1–5 of 1.3K

Venues

  1. Climate of the past

    26 publications · 2.4K citations

    24

    h-index

  2. Quaternary Science Reviews

    15 publications · 1.2K citations

    15

    h-index

  3. Climate Dynamics

    9 publications · 744 citations

    9

    h-index

  4. Geophysical Research Letters

    8 publications · 469 citations

    8

    h-index

  5. The Astrophysical Journal

    ApJ · 7 publications · 291 citations

    7

    h-index

1–5