The results show that the NSIDC SIT product is the closest to the OIB SIT, with ESA SIT exhibiting the highest bias. During each growth season, the SIT differences between AWI and NSIDC gradually decrease, while such differences between ESA and NSIDC increase for first-year ice (FYI) and ...
In black, the SIV anomaly after removing the climatological seasonal cycle of SIV obtained from the 2010–2020 time series of SIV from CryoSat-2 SIT and OSISAF SIC. In red, blue, and purple are the contributions of SIC anomalies, SIT anomalies, and their correlated component, respectively, ...
The CryoSat-2 Arctic freeboard measurements are produced by the Centre for Polar Observation and Modelling (CPOM) and are converted to SIT within FOAM using modelled snow depth. This is the first time along-track observations of SIT have been used in this way, with other centr...
Sea ice density is an important physics parameter for the climate models, and is a critical parameter for the retrieval of sea ice thickness (SIT) from satellite altimeters. In the context of rapid Arctic sea ice changes, the value of sea ice density may need to be adapted for SIT ...
The results show that the NSIDC SIT product is the closest to the OIB SIT, with ESA SIT exhibiting the highest bias. During each growth season, the SIT differences between AWI and NSIDC gradually decrease, while such differences between ESA and NSIDC increase for first-year ice (FYI) and ...
Information on snow depth on sea ice and bulk sea ice density is required to convert CryoSat-2 radar freeboard ( $F_{r}$ ) into sea ice thickness (SIT). It is difficult to obtain their information on an Arctic basin scale; therefore, most CryoSat-2 SIT products largely rely on the ...
CryoSat-2ArcticLSTMArctic sea ice and snow affect the energy balance of the global climate system through the radiation budget. Accurate determination of the snow cover over Arctic sea ice is significant for the retrieval of the sea ice thickness (SIT). In this study, we developed a new ...