Paleotemperature Data Assimilation

Paleotemperature Data Assimilation is a computational framework that integrates paleoclimate proxy data with numerical climate models through statistical or dynamical methods to produce temporally and spatially resolved estimates of past temperature fields.

20

Publications

1.5K

Citations

82

Authors

67

Institutions

Publications per year

2017–2026

8

Authors

82

  1. GJ
    Gregory J. Hakim

    University of Washington, United States

    6 publications · 654 citations

    6

    h-index

  2. JE
    Jessica E. Tierney

    University of Arizona, United States

    3 publications · 603 citations

    3

    h-index

  3. HG
    Hugues Goosse

    UCLouvain, Belgium

    3 publications · 73 citations

    3

    h-index

  4. JK
    Jonathan King

    University of Arizona, United States

    3 publications · 578 citations

    3

    h-index

  5. JD
    J. D. Annan

    Japan Agency for Marine-Earth Science and Technology, Japan

    2 publications · 67 citations

    2

    h-index

1–5 of 82

Venues

  1. Science Bulletin

    2 publications · 79 citations

    2

    h-index

  2. Climate Dynamics

    2 publications · 68 citations

    2

    h-index

  3. Climate of the past

    2 publications · 76 citations

    2

    h-index

  4. Earth and Planetary Science Letters

    1 publications · 52 citations

    1

    h-index

  5. Quaternary Science Reviews

    1 publications · 364 citations

    1

    h-index

1–5