Prediction of pan-arctic sea ice using attention-based LSTM neural networks
Within the rapidly changing Arctic region, accurate sea ice forecasts are of crucial
importance for navigation activities, such as the planning of shipping routes. Numerical …
importance for navigation activities, such as the planning of shipping routes. Numerical …
Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM)
EK Fiedler, M Martin, E Blockley, D Mignac… - The Cryosphere …, 2021 - tc.copernicus.org
The feasibility of assimilating SIT (sea ice thickness) observations derived from CryoSat-2
along-track measurements of sea ice freeboard is successfully demonstrated using a 3D-Var …
along-track measurements of sea ice freeboard is successfully demonstrated using a 3D-Var …
Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration
JG Lee, YG Ham - npj Climate and Atmospheric Science, 2023 - nature.com
The impact of assimilating satellite-retrieved Arctic sea ice thickness (SIT) on simulating sea
ice concentration (SIC) climatology in CICE5 is examined using a data assimilation (DA) …
ice concentration (SIC) climatology in CICE5 is examined using a data assimilation (DA) …
Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat‐2 Sea Ice Thickness Observations
Because of a spring predictability barrier, the seasonal forecast skill of Arctic summer sea ice
is limited by the availability of melt‐season sea ice thickness (SIT) observations. The first …
is limited by the availability of melt‐season sea ice thickness (SIT) observations. The first …
Summertime sea-ice prediction in the Weddell Sea improved by sea-ice thickness initialization
Skillful 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 …
sea-ice observations and insufficient representation of sea-ice processes in climate models …
Improved seasonal forecast skill of pan-Arctic and regional sea ice extent in CanSIPS version 2
This study assesses the forecast skill of the Canadian Seasonal to Interannual Prediction
System (CanSIPS), version 2, in predicting Arctic sea ice extent on both the pan-Arctic and …
System (CanSIPS), version 2, in predicting Arctic sea ice extent on both the pan-Arctic and …
Effectiveness of wind-constrained sea-ice momentum on formation of sea-ice distribution and upper halocline of Arctic Ocean in climate model
J Ono, Y Komuro, H Tatebe… - Environmental Research …, 2024 - iopscience.iop.org
Initialization of sea ice and the upper halocline in the Arctic Ocean is crucial for sea-ice
prediction, but their representation in climate models still remains biased. Here, using …
prediction, but their representation in climate models still remains biased. Here, using …
[引用][C] Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM).
EK Fiedler, M Martin, E Blockley… - Cryosphere …, 2021 - search.ebscohost.com
22. Table 2. Statistics for all matchups (total 547) of OIB SIT observations from 2015-2017
with FOAM SIT analysis, FOAM 5-day SIT forecast, and assimilated CryoSat-2 SIT …
with FOAM SIT analysis, FOAM 5-day SIT forecast, and assimilated CryoSat-2 SIT …