Results 11 to 20 of about 38,988 (217)

Optimization of the k-nearest-neighbors model for summer Arctic Sea ice prediction

open access: yesFrontiers in Marine Science, 2023
The Arctic sea ice plays a significant role in climate-related processes and has a considerable effect on humans, however accurately predicting the Arctic sea ice concentration is still challenging.
Yongcheng Lin   +9 more
doaj   +1 more source

VALIDATION OF ASMR2 SEA ICE CONCENTRATION DATA USING MODIS DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Passive microwave radiometer AMSR2 was launched by JAXA in May 2012 on-board GCOM-W satellite. The antenna diameter of AMSR2 is 2.0 m which provide highest spatial resolution as a passive microwave radiometer in space.
K. Cho, R. Nagao, K. Naoki
doaj   +1 more source

A NEW WEATHER FILTER FOR REDUCING WEATHER EFFECT IN CALCULATING SEA ICE CONCENTRATION FROM AMSR2 DATA [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Ice concentration is one of the most fundamental parameters of sea ice which can be calculated from brightness temperatures measured by passive microwave radiometers such as AMSR2 onboard satellites.
K. Cho, K. Naoki
doaj   +1 more source

The EUMETSAT sea ice concentration climate data record [PDF]

open access: yesThe Cryosphere, 2016
An Arctic and Antarctic sea ice area and extent dataset has been generated by EUMETSAT's Ocean and Sea Ice Satellite Application Facility (OSISAF) using the record of microwave radiometer data from NASA's Nimbus 7 Scanning Multichannel Microwave ...
R. T. Tonboe   +8 more
doaj   +1 more source

The 2018 North Greenland polynya observed by a newly introduced merged optical and passive microwave sea-ice concentration dataset [PDF]

open access: yesThe Cryosphere, 2019
Observations of sea-ice concentration are available from satellites year-round and almost weather-independently using passive microwave radiometers at resolutions down to 5 km.
V. Ludwig   +7 more
doaj   +1 more source

Spatial-temporal variations of one-year ice in Antarctic different regions, 1988–2020

open access: yesEcological Indicators, 2023
In order to increase the comparability of Antarctic sea ice changes, we proposed a new method to quantitatively assess the spatial–temporal variation characteristics of Antarctic one-year ice based on daily Antarctic sea ice concentration data provided ...
Xingdong Wang, Hailong Zhou, Mingzhu Ji
doaj   +1 more source

Consistent biases in Antarctic sea ice concentration simulated by climate models [PDF]

open access: yesThe Cryosphere, 2018
The simulation of Antarctic sea ice in global climate models often does not agree with observations. In this study, we examine the compactness of sea ice, as well as the regional distribution of sea ice concentration, in climate models from the latest
L. A. Roach   +3 more
doaj   +1 more source

Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6 [PDF]

open access: yesThe Cryosphere, 2017
Sea ice cover and thickness have substantially decreased in the Arctic Ocean since the beginning of the satellite era. As a result, sea ice strength has been reduced, allowing more deformation and fracturing and leading to increased sea ice drift ...
D. Docquier   +6 more
doaj   +1 more source

Analysis of Sea Ice Timing and Navigability along the Arctic Northeast Passage from 2000 to 2019

open access: yesJournal of Marine Science and Engineering, 2021
The ablation of Arctic sea ice makes seasonal navigation possible in the Arctic region, which accounted for the apparent influence of sea ice concentration in the navigation of the Arctic route.
Min Ji   +4 more
doaj   +1 more source

Brief communication: The challenge and benefit of using sea ice concentration satellite data products with uncertainty estimates in summer sea ice data assimilation [PDF]

open access: yesThe Cryosphere, 2016
Data assimilation experiments that aim at improving summer ice concentration and thickness forecasts in the Arctic are carried out. The data assimilation system used is based on the MIT general circulation model (MITgcm) and a local singular evolutive ...
Q. Yang   +5 more
doaj   +1 more source

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