Results 51 to 60 of about 10,989 (258)

Estimating Arctic sea ice thickness from satellite-based ice history [PDF]

open access: yesThe Cryosphere
A novel method is presented for estimating Arctic sea ice thickness by reconstructing its growth history from satellite-derived ice motion and concentration data, together with meteorological data.
N. Kimura, N. Kimura, H. Hasumi
doaj   +1 more source

Near-real-time Arctic sea ice thickness and volume from CryoSat-2 [PDF]

open access: yesThe Cryosphere, 2016
Timely observations of sea ice thickness help us to understand the Arctic climate, and have the potential to support seasonal forecasts and operational activities in the polar regions.
R. L. Tilling, A. Ridout, A. Shepherd
doaj   +1 more source

Sudden anaerobization in Amphibacillus xylanus increases intracellular labile ferrous iron and inhibits cell growth

open access: yesFEBS Open Bio, EarlyView.
Abruptly changing from aerobic to anaerobic conditions (sudden anaerobization) induced growth inhibition and a significant increase in intracellular labile ferrous iron in the aerotolerant anaerobe Amphibacillus xylanus. We found that free flavins mediate efficient electron transfer from NADH to ferric iron under anaerobic conditions, suggesting that ...
Shinya Kimata   +13 more
wiley   +1 more source

Sea ice deformation and thickness in the Western Ross Sea

open access: yes, 2021
<p>Sea ice cover is arguably the longest and best observed climate variable from space, with over four decades of highly reliable daily records of extent in both hemispheres. In Antarctica, a slight positive decadal trend in sea ice cover is driven by changes in the western Ross Sea, where a variation in weather patterns over the wider ...
Wolfgang Rack   +4 more
openaire   +3 more sources

Estimation of Arctic Sea Ice Thickness Using HY-2B Altimeter Data

open access: yesRemote Sensing
Sea ice thickness is an important component of the Arctic environment, bearing crucial significance in investigations pertaining to global climate and environmental changes.
Chunyu Pang   +4 more
doaj   +1 more source

Sea ice thickness as a stochastic process [PDF]

open access: yesJournal of Geophysical Research: Oceans, 2000
Observed probability distributions of sea ice thickness are approximately exponential for thick ice. An explanation is given on the basis of simple representations of the thermal and mechanical processes. The argument predicts that the e‐folding scale for the exponential is proportional to the thermal equilibrium thickness.
openaire   +1 more source

Seasonal Evolution of the Arctic Sea Ice Thickness Distribution

open access: yesJournal of Geophysical Research: Oceans, 2023
AbstractThe Thorndike et al. (1975, https://doi.org/10.1029/jc080i033p04501) theory of the ice thickness distribution, g(h), treats the dynamic and thermodynamic aggregate properties of the ice pack in a novel and physically self‐consistent manner.
Toppaladoddi, S.   +2 more
openaire   +3 more sources

Hyperactive ice‐binding proteins stabilize cell membranes and improve resistance to dehydration stress in Caenorhabditis elegans

open access: yesFEBS Open Bio, EarlyView.
TisIBP8, a fungal‐derived hyperactive ice‐binding protein, helps Caenorhabditis elegans survive dehydration. It localizes near cell membranes, reduces cell damage, and helps maintain membrane structure during drying. These results suggest that ice‐binding proteins can protect cells from dehydration stress as well as freezing stress.
Daiki Shimose   +9 more
wiley   +1 more source

Empirical sea ice thickness retrieval during the freeze-up period from SMOS high incident angle observations [PDF]

open access: yesThe Cryosphere, 2014
Sea ice thickness information is important for sea ice modelling and ship operations. Here a method to detect the thickness of sea ice up to 50 cm during the freeze-up season based on high incidence angle observations of the Soil Moisture and ...
M. Huntemann   +5 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

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