New insight from CryoSat-2 sea ice thickness for sea ice modelling [PDF]
The Cryosphere, 2019 Estimates of Arctic sea ice thickness have been 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 five ice thickness categories ...
D. Schröder +4 more
doaj +6 more sources
Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system [PDF]
The Cryosphere, 2019 The accuracy of the initial state is very important for the quality of a forecast, and data assimilation is crucial for obtaining the best-possible initial state.
S. Fritzner +4 more
doaj +5 more sources
The effects of assimilating a sub-grid-scale sea ice thickness distribution in a new Arctic sea ice data assimilation system [PDF]
The Cryosphere, 2023 In the past decade groundbreaking new satellite observations of the Arctic sea ice cover have been made, allowing researchers to understand the state of the Arctic sea ice system in greater detail than before.
N. Williams +8 more
doaj +1 more source
Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates [PDF]
The Cryosphere, 2023 In this study, a new method to assimilate freeboard (FB) derived from satellite radar altimetry is presented with the goal of improving the initial state of sea ice thickness predictions in the Arctic.
I. Sievers +3 more
doaj +1 more source
Probabilistic Forecasts of Arctic Sea Ice Thickness [PDF]
Journal of Agricultural, Biological and Environmental Statistics, 2021 AbstractIn recent decades, warming temperatures have caused sharp reductions in the volume of sea ice in the Arctic Ocean. Predicting changes in Arctic sea ice thickness is vital in a changing Arctic for making decisions about shipping and resource management in the region.
Peter A. Gao +3 more
openaire +2 more sources
Summertime sea-ice prediction in the Weddell Sea improved by sea-ice thickness initialization [PDF]
Scientific Reports, 2021 AbstractSkillful sea-ice prediction in the Antarctic Ocean remains a big challenge due to paucity of sea-ice observations and insufficient representation of sea-ice processes in climate models. Using a coupled general circulation model, this study demonstrates skillful prediction of the summertime sea-ice concentration (SIC) in the Weddell Sea with ...
Yushi Morioka +4 more
openaire +3 more sources
A long-term proxy for sea ice thickness in the Canadian Arctic: 1996–2020 [PDF]
The Cryosphere, 2023 This study presents a long-term winter sea ice thickness proxy product for the Canadian Arctic based on a random forest regression model – applied to ice charts and scatterometer data, trained on CryoSat-2 observations, and applying an ice type–sea ice ...
I. A. Glissenaar +4 more
doaj +1 more source
Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements [PDF]
The Cryosphere, 2022 Knowledge of sea-ice thickness and volume depends on freeboard observations from satellite altimeters and in turn on information of snow mass and sea-ice density required for the freeboard-to-thickness conversion.
A. Jutila +7 more
doaj +1 more source
Sea Ice Thickness in the Western Ross Sea [PDF]
Geophysical Research Letters, 2021 AbstractUsing airborne measurements, we provide a first direct glimpse of the sea ice thickness distribution in the western Ross Sea, Antarctica, where the distinguishing sea ice process is the regular occurrence of the Ross Sea, McMurdo Sound, and Terra Nova Bay polynyas.
Wolfgang Rack +4 more
openaire +1 more source
Interannual variability in Transpolar Drift summer sea ice thickness and potential impact of Atlantification [PDF]
The Cryosphere, 2021 Changes in Arctic sea ice thickness are the result of complex interactions of the dynamic and variable ice cover with atmosphere and ocean. Most of the sea ice exiting the Arctic Ocean does so through Fram Strait, which is why long-term measurements of ...
H. J. Belter +16 more
doaj +1 more source