Post-2000 faster ENSO phase transitions amplify autumn sea ice loss in the LaptevâEast-Siberian Sea
收藏DataONE2026-01-01 更新2026-01-10 收录
下载链接:
https://search.dataone.org/view/sha256:418c46eab78d1deaffffc30efafcc7aec3568780106da20610e53c38b4931be7
下载链接
链接失效反馈官方服务:
资源简介:
This dataset provides core numerical experimental support for investigating how rapid phase transitions of the El Niño-Southern Oscillation (ENSO) excite atmospheric wave trains propagating toward the Arctic, using the Linear Baroclinic Model (LBM). It aims to elucidate the dynamic mechanisms through which tropical sea surface temperature anomaly (SSTA) forcing influences mid- to high-latitude atmospheric circulation.
The dataset primarily comprises outputs from numerical experiments, categorized into forcing field data and atmospheric response field data. The forcing field data consist of SSTA fields used to drive the LBM. The atmospheric response field data record the simulated atmospheric circulation anomaly responses generated by the LBM under specific SSTA forcing, with key variables such as geopotential height anomalies employed to trace the propagation path of the Rossby wave train toward the Arctic.
This dataset directly provides causal evidence linking specific tropical SSTA fo..., , # Post-2000 faster ENSO phase transitions amplify autumn sea ice loss in the LaptevâEast-Siberian Sea
Dataset DOI: [10.5061/dryad.44j0zpctv](https://doi.org/10.5061/dryad.44j0zpctv)
## Description of the data and file structure
Our Linear Baroclinic Model (LBM) experiments, designed to verify the atmospheric response to sea surface temperature anomalies, comprised two key datasets: the sea surface temperature anomalies forcing pattern and the geopotential height response to the forcing.
### Files and variables
#### File: frcsst.la.nc
**Description:**Â The sea surface temperature anomalies forcing pattern
#### File: Res.to.sst.la.nc
**Description:**Â The geopotential height response to the forcing
## Code/software
The data can be read and visualized using NCAR Command Language (NCL).
## Access information
Other publicly accessible locations of the data:
* Not applicable. This dataset is being submitted here for the first time and is not currently archived in any other public r...,
创建时间:
2026-01-01



