Spatial cross-correlation of Antarctic Sea ice and seabed topography [PDF]
A time series of derived sea ice concentrations as observed about Antarctica by the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) satellite in 1983 is considered.
Deveaux, Richard D., Phelan, Michael J.
core +1 more source
New insight from CryoSat-2 sea ice thickness for sea ice modelling [PDF]
Estimates of Arctic sea ice thickness are available from the CryoSat-2 (CS2) radar altimetry mission during ice growth seasons since 2010. We derive the sub-grid scale ice thickness distribution (ITD) with respect to 5 ice thickness categories used in a ...
Feltham, Danny L.+4 more
core +3 more sources
AI4SeaIce: selecting loss functions for automated SAR sea ice concentration charting. [PDF]
Kucik A, Stokholm A.
europepmc +1 more source
Impact of melt ponds on Arctic sea ice simulations from 1990 to 2007 [PDF]
The extent and thickness of the Arctic sea ice cover has decreased dramatically in the past few decades with minima in sea ice extent in September 2007 and 2011 and climate models did not predict this decline.
Bitz+52 more
core +1 more source
Sea and Freshwater Ice Concentration from VIIRS on Suomi NPP and the Future JPSS Satellites
Information on ice is important for shipping, weather forecasting, and climate monitoring. Historically, ice cover has been detected and ice concentration has been measured using relatively low-resolution space-based passive microwave data.
Yinghui Liu, J. Key, R. Mahoney
semanticscholar +1 more source
Mapping sea ice in the Arctic is essential for maritime navigation, and growing vessel traffic highlights the necessity of the timeliness and accuracy of sea ice charts.
A. Stokholm+37 more
doaj +1 more source
Author Correction: AI4SeaIce: selecting loss functions for automated SAR sea ice concentration charting. [PDF]
Kucik A, Stokholm A.
europepmc +1 more source
Pilot study and evaluation of a SMMR-derived sea ice data base [PDF]
Data derived from the Nimbus 7 scanning multichannel microwave radiometer (SMMR) are discussed and the types of problems users have with satellite data are documented. The development of software for assessing the SMMR data is mentioned. Two case studies
Anderson, M. R.+4 more
core +1 more source
An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000-1849. [PDF]
Samakinwa E+7 more
europepmc +1 more source
Intensified Arctic warming under greenhouse warming by vegetation–atmosphere–sea ice interaction [PDF]
Observations and modeling studies indicate that enhanced vegetation activities over high latitudes under an elevated CO2 concentration accelerate surface warming by reducing the surface albedo. In this study, we suggest that vegetation-atmosphere-sea ice
Chen, DL+5 more
core +1 more source