Spatial Climate Reconstruction

Spatial Climate Reconstruction is a paleoclimatic method that infers past climatic conditions across geographic space by integrating proxy data with spatial statistical models to produce temporally resolved, gridded climate fields.

216

Publications

20.2K

Citations

744

Authors

397

Institutions

Publications per year

2017–2026

54

Authors

744

  1. JL
    Jürg Luterbacher

    Justus-Liebig-Universität Gießen, Germany

    12 publications · 1.2K citations

    12

    h-index

  2. EZ
    Eduardo Zorita

    Helmholtz-Zentrum Hereon, Germany

    12 publications · 1.2K citations

    12

    h-index

  3. JE
    Jason E. Smerdon

    Lamont-Doherty Earth Observatory, United States

    11 publications · 1.1K citations

    11

    h-index

  4. DF
    David Frank

    Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland

    11 publications · 1.6K citations

    11

    h-index

  5. JE
    Jan Esper

    Johannes Gutenberg University Mainz, Germany

    9 publications · 1.3K citations

    9

    h-index

1–5 of 744

Venues

  1. Climate of the past

    19 publications · 1.2K citations

    16

    h-index

  2. Geophysical Research Letters

    17 publications · 1.8K citations

    15

    h-index

  3. Journal of Climate

    13 publications · 1.7K citations

    13

    h-index

  4. Climate Dynamics

    11 publications · 812 citations

    11

    h-index

  5. Palaeogeography Palaeoclimatology Palaeoecology

    11 publications · 703 citations

    11

    h-index

1–5