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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Strongly Coupled Data Assimilation for Paleoclimate Reconstruction Using Deep Learning-Based Models

Research datakeyboard_double_arrow_right Dataset 27 Nov 2025Publisher:Zenodo
Authors: Lei, Lili; Sun, Haohao; Tan, Zhe-Min; Ning, Liang; Liu, Zhengyu;

doi: 10.5281/zenodo.17736457 , 10.5281/zenodo.17736458

Strongly Coupled Data Assimilation for Paleoclimate Reconstruction Using Deep Learning-Based Models

Abstract

CoupleDA_zenodo.rar (files compressed with RAR compression) includes: 1. Directory 'Code' contains the code to reproduce all the experiments in Table 1, including the single observation assimilation 2. Directory 'Data' contains the necessary data in the model, prior, proxy, and obs directory described in Section 2. The directory 'Assim_output_CDA' contains the reconstruction CE of cycling assimilation results.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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