2024
DOI: 10.1029/2023jd039910
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An Ensemble Learning Model Reveals Accelerated Reductions in Snow Depth Over Arctic Sea Ice Under High‐Emission Scenarios

H. L. Li,
C. Q. Ke,
X. Y. Shen
et al.

Abstract: There are significant differences in snow depth predictions among different earth system models, and many models underestimate snow depth, restricting their application. Here, major factors influencing snow depth changes in the Coupled Model Intercomparison Project Phase 6 (CMIP6) were identified and evaluated. Based on satellite‐derived snow depth and CMIP6 data, an ensemble learning model based on multiple deep learning methods (hereafter referred to as the Multi‐DL model) was developed to predict future sno… Show more

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“…Previous studies primarily analyzed the relationship between environmental factors and snow depth. Li H. et al (2024) identified reduced NLR and increased precipitation as crucial factors contributing to decreased warm season snow depth, while increased T2m, reduced NLR, and increased NSR were important for cold season snow depth reductions. Petty et al (2018) also highlighted the significance of snowfall and sea ice motion in snow depth increases from August to April.…”
Section: Physical Processes Related To the Influence Of The Ar On Sno...mentioning
confidence: 93%
“…Previous studies primarily analyzed the relationship between environmental factors and snow depth. Li H. et al (2024) identified reduced NLR and increased precipitation as crucial factors contributing to decreased warm season snow depth, while increased T2m, reduced NLR, and increased NSR were important for cold season snow depth reductions. Petty et al (2018) also highlighted the significance of snowfall and sea ice motion in snow depth increases from August to April.…”
Section: Physical Processes Related To the Influence Of The Ar On Sno...mentioning
confidence: 93%