Brief communication: Arctic sea ice thickness internal variability and its changes under historical and anthropogenic forcing
We use model simulations from the CESM1-CAM5-BGC-LE dataset to characterise the Arctic sea ice thickness internal variability both spatially and temporally. These properties, and their stationarity, are investigated in three different contexts: (1) constant pre-industrial, (2) historical and (3) pro...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2020
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-14-3479-2020 https://noa.gwlb.de/receive/cop_mods_00054382 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00054033/tc-14-3479-2020.pdf https://tc.copernicus.org/articles/14/3479/2020/tc-14-3479-2020.pdf |
Summary: | We use model simulations from the CESM1-CAM5-BGC-LE dataset to characterise the Arctic sea ice thickness internal variability both spatially and temporally. These properties, and their stationarity, are investigated in three different contexts: (1) constant pre-industrial, (2) historical and (3) projected conditions. Spatial modes of variability show highly stationary patterns regardless of the forcing and mean state. A temporal analysis reveals two peaks of significant variability, and despite a non-stationarity on short timescales, they remain more or less stable until the first half of the 21st century, where they start to change once summer ice-free events occur, after 2050. |
---|