Paleoclimate Data Assimilation

Paleoclimate Data Assimilation is a computational framework that integrates sparse proxy-based paleoclimate observations with numerical climate model simulations to produce temporally and spatially resolved reconstructions of past climate states by systematically optimizing the agreement between models and data.

53

Publications

3.2K

Citations

121

Authors

89

Institutions

Publications per year

2017–2026

35

Authors

121

  1. GJ
    Gregory J. Hakim

    University of Washington, United States

    21 publications · 1.9K citations

    18

    h-index

  2. NS
    Nathan Steiger

    Columbia University, United States

    9 publications · 411 citations

    9

    h-index

  3. SD
    Sylvia Dee

    Rice University, United States

    8 publications · 336 citations

    8

    h-index

  4. JK
    Jonathan King

    University of Arizona, United States

    7 publications · 1.3K citations

    7

    h-index

  5. MW
    Martin Widmann

    University of Birmingham, United Kingdom

    6 publications · 258 citations

    6

    h-index

1–5 of 121

Venues

  1. Climate of the past

    14 publications · 674 citations

    14

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 5 publications · 155 citations

    5

    h-index

  3. Journal of Advances in Modeling Earth Systems

    JAMES · 4 publications · 149 citations

    4

    h-index

  4. Journal of Climate

    3 publications · 142 citations

    3

    h-index

  5. Geophysical Research Letters

    3 publications · 124 citations

    3

    h-index

1–5