Do Multi‐Model Ensembles Improve Reconstruction Skill in Paleoclimate Data Assimilation?

Do Multi‐Model Ensembles Improve Reconstruction Skill in Paleoclimate Data Assimilation?

Abstract Reconstructing past climates remains a difficult task because pre‐instrumental observational networks are composed of geographically sparse and noisy paleoclimate proxy records that require statistical techniques to inform complete climate fields. Traditionally, instrumental or climate mode...

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Bibliographic Details
Main Authors: Luke A. Parsons, Daniel E. Amrhein, Sara C. Sanchez, Robert Tardif, M. Kathleen Brennan, Gregory J. Hakim
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-04-01
Series:Earth and Space Science
Subjects:
climate dynamics
climate models
data assimilation
ensemble Kalman filter
multi‐model ensembles
paleoclimate field reconstruction
Online Access:https://doi.org/10.1029/2020EA001467

Internet

https://doi.org/10.1029/2020EA001467

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