Javascript must be enabled to continue!
Analysis of Antarctic Sea Ice Extent based on NIC charts and AMSR-E data
View through CrossRef
The extent of the Antarctica sea ice is not accurately defined only using low resolution passive microwave data, such as The Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E). Due to the varied ice types at the ice edge, it is necessary to use additional resources that will have better results. Therefore sea ice edge data provided by National Ice Center (NIC) were used for better understanding. Sea ice extent for summer time period between January 1stand March 1st, and winter time period between August 1stand December 31stwere calculated from both AMSR-E and NIC products. The calculated summer ice extent from AMSR-E underestimated the extent by 30% for summer season comparing to the results from NIC dataset. Also sea ice extent calculated from AMSR-E underestimated the extent by 10% for winter season again comparing to the results from NIC data. For the quality purpose and validation NIC data were compared with NASA's Quick Scatterometer (QuikSCAT) to see the detection of ice edge differs or agrees between these dataset. Comparison covered the entire Antarctic continent for the middle of summer and middle of winter. NIC and QuikSCAT data showed very good agreement. However, AMSR-E data did not agree with the other dataset and basically underestimated total ice concentration at the edge during the summer season.
Title: Analysis of Antarctic Sea Ice Extent based on NIC charts and AMSR-E data
Description:
The extent of the Antarctica sea ice is not accurately defined only using low resolution passive microwave data, such as The Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E).
Due to the varied ice types at the ice edge, it is necessary to use additional resources that will have better results.
Therefore sea ice edge data provided by National Ice Center (NIC) were used for better understanding.
Sea ice extent for summer time period between January 1stand March 1st, and winter time period between August 1stand December 31stwere calculated from both AMSR-E and NIC products.
The calculated summer ice extent from AMSR-E underestimated the extent by 30% for summer season comparing to the results from NIC dataset.
Also sea ice extent calculated from AMSR-E underestimated the extent by 10% for winter season again comparing to the results from NIC data.
For the quality purpose and validation NIC data were compared with NASA's Quick Scatterometer (QuikSCAT) to see the detection of ice edge differs or agrees between these dataset.
Comparison covered the entire Antarctic continent for the middle of summer and middle of winter.
NIC and QuikSCAT data showed very good agreement.
However, AMSR-E data did not agree with the other dataset and basically underestimated total ice concentration at the edge during the summer season.
Related Results
Antarctic sea ice types from active and passive microwave remote sensing
Antarctic sea ice types from active and passive microwave remote sensing
Abstract. Polar sea ice is one of the Earth’s climate components that has been significantly affected by the recent trend of global warming. While the sea ice area in the Arctic ha...
Seasonal Arctic sea ice predictability and prediction
Seasonal Arctic sea ice predictability and prediction
Arctic sea ice plays a central role in the Earth’s climate. Changes in the sea ice on seasonal-to-interannual timescales impact ecosystems, populations and a growing number of stak...
Modelling the Hydro-fracture driven collapse of the Larsen B ice shelf
Modelling the Hydro-fracture driven collapse of the Larsen B ice shelf
Ice shelves play a key role in buttressing upstream ice - modulating the flow of grounded ice into the ocean and in turn affecting ice sheet contribution to sea level. Iceberg calv...
Dissolved Neodymium Isotopes Trace Origin and Spatiotemporal Evolution of Modern Arctic Sea Ice
Dissolved Neodymium Isotopes Trace Origin and Spatiotemporal Evolution of Modern Arctic Sea Ice
<p>The lifetime and thickness of Arctic sea ice have markedly decreased in the recent past. This affects Arctic marine ecosystems and the biological pump, given that ...
Deep learning reveals seasonal patterns of Antarctic ice shelf front fluctuations
Deep learning reveals seasonal patterns of Antarctic ice shelf front fluctuations
<p>The Antarctic ice sheet drains ice through its peripheral ice shelves and glaciers making them an important factor for ice sheet mass balance. The extent of ice sh...
Impact of glacial isostatic adjustment on the long-term stability of the Antarctic ice sheet
Impact of glacial isostatic adjustment on the long-term stability of the Antarctic ice sheet
<p>Projections of the contribution of the Antarctic ice sheet to future sea-level rise remain highly uncertain, especially on long timescales. One of the reasons for ...
Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover
Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover
Abstract. Recent studies based on satellite observations have shown that there is a high statistical connection between the late winter (Feb-May) sea ice export out the Laptev Sea,...
Sea ice deformation and thickness in the Western Ross Sea
Sea ice deformation and thickness in the Western Ross Sea
<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 hemi...

