Results 41 to 50 of about 471,351 (368)

Intercomparison of passive microwave sea ice concentration retrievals over the high‐concentration Arctic sea ice [PDF]

Journal of Geophysical Research: Oceans, 2007
Measurements of sea ice concentration from the Special Sensor Microwave Imager (SSM/I) using seven different algorithms are compared to ship observations, sea ice divergence estimates from the Radarsat Geophysical Processor System, and ice and water surface type classification of 59 wide‐swath synthetic aperture radar (SAR) scenes.
Søren Andersen, Rasmus Tonboe, Lars Kaleschke, Georg Heygster, Leif Toudal Pedersen   +4 more
openaire   +1 more source

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

Frontiers 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, Qinghua Yang, Xuewei Li, Xuewei Li, Chao-Yuan Yang, Yiguo Wang, Jiuke Wang, Jingwen Liu, Sizhe Chen, Jiping Liu   +9 more
doaj   +1 more source

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

The 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]

ISPRS 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 Current Configuration of the Ostia System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses

Remote Sensing, 2020
The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system generates global, daily, gap-filled foundation sea surface temperature (SST) fields from satellite data and in situ observations.
S. Good, E. Fiedler, C. Mao, Matthew J. Martin, A. Maycock, Rebecca Reid, J. Roberts-Jones, Toby Searle, J. Waters, J. While, Mark Worsfold   +10 more
semanticscholar   +1 more source

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

Ecological 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

Impacts of synoptic-scale cyclones on Arctic sea-ice concentration: a systematic analysis

Annals of Glaciology, 2020
The role of synoptic-scale cyclones in the trends and variability of Arctic sea ice conditions has remained uncertain. In recognition, we conduct a systematic investigation of how sea-ice concentration (SIC) changes with cyclone passage, including all ...
E. Schreiber, M. Serreze
semanticscholar   +1 more source

Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST [PDF]

The Cryosphere, 2018
Abstract. A multi-category numerical sea ice model CICE along with data assimilation was used to derive sea ice parameters in the region of Baffin Bay and Labrador Sea. The assimilation of ice concentration was performed using the data derived from Advanced Microwave Scanning Radiometer (AMSR-E & AMSR2).
S. Prasad, I. Zakharov, P. McGuire, P. McGuire, D. Power, M. Richard   +5 more
openaire   +3 more sources

Accounting for Label Errors When Training a Convolutional Neural Network to Estimate Sea Ice Concentration Using Operational Ice Charts

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Convolutional neural networks (CNNs) are being increasingly investigated as a means to extract sea ice concentration from synthetic aperture radar (SAR) in an automated manner. This is often done using ice charts as training data.
Manveer Singh Tamber, K. Andrea Scott, Leif Toudal Pedersen   +2 more
doaj   +1 more source

Characterization of Moisture Sources for Austral Seas and Relationship with Sea Ice Concentration [PDF]

Atmosphere, 2019
In this study, the moisture sources acting over each sea (Weddell, King Haakon VII, East Antarctic, Amundsen-Bellingshausen, and Ross-Amundsen) of the Southern Ocean during 1980–2015 are identified with the FLEXPART Lagrangian model and by using two approaches: backward and forward analyses.
Michelle Simões Reboita, Raquel Nieto, Rosmeri P. da Rocha, Anita Drumond, Marta Vázquez, Luis Gimeno   +5 more
openaire   +4 more sources