Post-2000 faster ENSO phase transitions amplify autumn sea ice loss in the Laptev–East-Siberian Sea

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 forcing to mid- and high-latitude teleconnection wave trains. The
data were generated by the authors using licensed LBM code from LBM
website. Any original forcing fields derived from public reanalysis data
were used in compliance with their respective terms of use. Data users are
requested to cite this dataset and any associated research paper in their
published work.