Results 61 to 70 of about 3,131 (183)

XXXII.—The zoology of Barents Sea [PDF]

Annals and Magazine of Natural History, 1880
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openaire   +1 more source

Understanding the Climatology and Characteristics of Arctic Moisture Intrusions

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 15, 16 August 2026.
Abstract Moisture and heat transport into the Arctic play important roles in modulating the local climate and Arctic sea ice variability. Moisture intrusions, the transport of extreme moisture channels into the Arctic, can perturb the surface energy balance and sea ice mass balance through radiative changes, triggering melt and inhibiting sea ice ...
Benjamin Woods, Linette Boisvert, Chelsea Parker, Elina Valkonen, Patrick Taylor, Melinda Webster, Gabrielle Linscott   +6 more
wiley   +1 more source

Seismic Characteristics of the Gas Hydrate System in the Mackenzie Trough of the Canadian Beaufort Sea, Arctic Ocean

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract We present a comprehensive seismic characterization of the gas hydrate system in the outer continental shelf of the Mackenzie Trough, Canadian Beaufort Sea, based on recently acquired multichannel seismic (MCS) data, P‐wave velocity modeling, and 3D thermal modeling. We identified high‐amplitude, reverse‐polarity Bottom‐Simulating Reflections (
Yeonjin Choi, Young Keun Jin, Michael Riedel, Jong Kuk Hong, Mathieu J. Duchesne, Sung‐Ryul Shin, Wookeen Chung, Seung‐Goo Kang   +7 more
wiley   +1 more source

Enhanced Retrieval of Spring Snow Depth Over Pan‐Arctic Sea Ice From AMSR2 Observations for 2013–2023 Using Multi‐Model Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Snow on sea ice modulates the Earth's radiation budget and sea ice mass balance, yet satellite retrievals of Arctic snow depth remain subject to substantial algorithmic uncertainty. We develop a multi‐model machine learning (ML) framework for retrieving spring snow depth over Arctic sea ice from Advanced Microwave Scanning Radiometer 2 (AMSR2).
Yi Zhou, Chentong Zhang, Alek Petty, Xianwei Wang, Ruibo Lei, Wenxuan Liu, Yu Zhang   +6 more
wiley   +1 more source

FloeNet: A Mass‐Conserving Global Sea Ice Emulator That Generalizes Across Climates

Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract We introduce FloeNet, a graph neural network trained to emulate the Geophysical Fluid Dynamics Laboratory global sea ice model, SIS2. FloeNet is a mass‐conserving model, emulating 6‐hr mass and area budget tendencies related to sea ice and snow‐on‐sea‐ice growth, melt, and advection.
William Gregory, Mitchell Bushuk, James Duncan, Elynn Wu, Adam Subel, Spencer K. Clark, Bill Hurlin, Oliver Watt‐Meyer, Alistair Adcroft, Chris Bretherton, Laure Zanna   +10 more
wiley   +1 more source

Influence of the Gulf Stream on the Barents Sea ice retreat and Eurasian coldness during early winter

Environmental Research Letters, 2014
Abnormal sea-ice retreat over the Barents Sea during early winter has been considered a leading driver of recent midlatitude severe winters over Eurasia. However, causal relationships between such retreat and the atmospheric circulation anomalies remains
Kazutoshi Sato, Jun Inoue, Masahiro Watanabe   +2 more
doaj   +1 more source

Spatial Heterogeneity of Atlantic Water Upward Heat Flux in the Eurasian Basin Revealed by MOSAiC

Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Atlantic Water (AW) is the main oceanic heat source in the Arctic and a key driver of sea ice retreat. Based on Multidisciplinary drifting Observatory for the Study of Arctic Climate microstructure data from the Eurasian Basin, we examined the spatial heterogeneity of AW upward heat flux.
Bin Kong, Libao Gao, Guijun Guo
wiley   +1 more source

First EarthCARE CPR Observations of Dynamics–Microphysics Coupling in Marine Cold‐Air Outbreak Clouds

Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Marine cold‐air outbreak (MCAO) clouds begin as shallow cloud streets near the ice edge and evolve into broken open‐cell convection downstream. Their rapid transitions in cloud structure and microphysics are closely linked to vertical motions, but this interplay has not previously been observed from space. The EarthCARE satellite, carrying the
Jiseob Kim, Ivy Tan, Pavlos Kollias, Bernat Puigdomènech Treserras   +3 more
wiley   +1 more source

Causes and features of long-term variability of the ice extent in the Barents Sea

Лëд и снег, 2019
Based on the spectral analysis of a number of estimates of the ice extent of the Barents Sea, obtained from instrumental observational data for 1900–2014, and for the selected CMIP5 project models (MPI-ESM-LR, MPI-ESMMR and GFDL-CM3) for 1900–2005, a ...
S. B. Krasheninnikova, M. A. Krasheninnikova   +1 more
doaj   +1 more source

How to Predict the Phase Shift of “Warm Arctic–Cold Eurasia” Pattern Between Early and Late Winter?

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract The “Warm Arctic−Cold Eurasia” (WACE) pattern frequently undergoes distinct phase reversals between early and late winter, posing significant challenges for climate prediction. Current state‐of‐the‐art real‐time prediction models exhibit limited skill in forecasting WACE reversals, and the main reason is poor representation of key atmospheric ...
Zhicong Yin, Tianbao Xu
wiley   +1 more source