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
Parents
53
Globally resolved surface temperatures since the Last Glacial Maximum
Matthew Osman, Jessica E. Tierney, Jiang Zhu et al. · Nature · 2021 · 528 citations
Glacial cooling and climate sensitivity revisited
Jessica E. Tierney, Jiang Zhu, Jonathan King et al. · Nature · 2020 · 506 citations
1–5 of 53
121
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89
University of Washington
Seattle, United States
18 h-index
38 publications
3.1K citations
University of Arizona
Tucson, United States
12 h-index
27 publications
4.1K citations
Columbia University
New York, United States
9 h-index
11 publications
488 citations

Lamont-Doherty Earth Observatory
Sparkill, United States
9 h-index
11 publications
488 citations

Oeschger Centre for Climate Change Research
Bern, Switzerland
7 h-index
21 publications
797 citations
University of Bern
Bern, Switzerland
7 h-index
21 publications
797 citations

NSF National Center for Atmospheric Research
Boulder, United States
6 h-index
6 publications
1.3K citations
University of Southern California
Los Angeles, United States
6 h-index
11 publications
528 citations
1–8 of 89
14 publications · 674 citations
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JGR · 5 publications · 155 citations
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JAMES · 4 publications · 149 citations
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3 publications · 142 citations
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3 publications · 124 citations
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