The ability to forecast sea ice (both extent and thickness) and weather conditions are the major factors when it comes to safe marine transportation in the Arctic Ocean. This paper presents findings focusing on sea ice and weather prediction in the Arctic Ocean for navigation purposes, in particular along the Northeast Passage. Based on comparison with the observed sea ice concentrations for validation, the best performing Earth system models from the Intergovernmental Panel on Climate Change (IPCC) program (CMIP5-Coupled Model Intercomparison Project phase 5) were selected to provide ranges of potential future sea ice conditions. Our results showed that, despite a general tendency toward less sea ice cover in summer, internal variability will still be large and shipping along the Northeast Passage might still be hampered by sea ice blocking narrow passages. This will make sea ice forecasts on shorter time and space scales and Arctic weather prediction even more important.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5673867 | PMC |
http://dx.doi.org/10.1007/s13280-017-0951-5 | DOI Listing |
Environ Monit Assess
January 2025
College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China.
Exploring the response relationship between civil war, population and land cover change is of great practical significance for social stability in Myanmar. However, the ongoing civil war in Myanmar hinders direct understanding of the situation on the ground, which in turn limits detailed study of the intricate relationship between the dynamics of the civil war and its impact on population and land. Therefore, this paper explores the response relationship between civil war conflict and population and land cover change in Myanmar from 2010 to 2020 from the perspective of remote sensing using the land cover data we produced, the open spatial demographics data, and the armed conflict location and event data project.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Allen Institute for Brain Science, Seattle, WA, USA.
Background: Applying single-cell RNA sequencing (scRNA-seq) to the study of neurodegenerative disease has propelled the field towards a more refined cellular understanding of Alzheimer's disease (AD); however, directly linking protein pathology to transcriptomic changes has not been possible at scale. Recently, a high-throughput method was developed to generate high-quality scRNA-seq data while retaining cytoplasmic proteins. Tau is a cytoplasmic protein and when hyperphosphorylated is integrally involved in AD progression.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Geography, Centre for Northern Studies (CEN), & Takuvik International Research Laboratory, Université Laval, Québec, QC, Canada.
The Arctic is among the most rapidly warming regions on Earth, and climate change has triggered widespread alterations to its cryosphere and ecosystems. Among these, high Arctic lakes are highly sensitive to rising temperatures due to the influence of ice cover on multiple limnological processes. Here, we studied the sediments of three lakes on northern Ellesmere Island (82.
View Article and Find Full Text PDFNat Commun
January 2025
Irreversible Climate Change Research Center, Yonsei University, Seoul, Republic of Korea.
The recent sea ice changes in the Northern Hemisphere (NH), necessitate elucidating the sea ice variability over the past 2.6 million years (Ma), when the Earth's glacial cycles transitioned from ∼41 to ∼100 kyr periodicity, following the Mid-Pleistocene Transition (MPT) period (0.7-1.
View Article and Find Full Text PDFNature
January 2025
Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, USA.
Understanding the causes of past atmospheric methane (CH) variability is important for characterizing the relationship between CH, global climate and terrestrial biogeochemical cycling. Ice core records of atmospheric CH contain rapid variations linked to abrupt climate changes of the last glacial period known as Dansgaard-Oeschger (DO) events and Heinrich events (HE). The drivers of these CH variations remain unknown but can be constrained with ice core measurements of the stable isotopic composition of atmospheric CH, which is sensitive to the strength of different isotopically distinguishable emission categories (microbial, pyrogenic and geologic).
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