Improving the Met Office's Forecast Ocean Assimilation Model (FOAM) with the assimilation of satellite‐derived sea‐ice thickness data from CryoSat‐2 and SMOS in …
D Mignac, M Martin, E Fiedler… - Quarterly Journal of …, 2022 - Wiley Online Library
Derived from two complementary satellites, CryoSat‐2 and Soil Moisture and Ocean Salinity
(SMOS), sea ice thickness (SIT) data are assimilated into the Met Office's global ocean–sea …
(SMOS), sea ice thickness (SIT) data are assimilated into the Met Office's global ocean–sea …
[HTML][HTML] Sea ice remote sensing—recent developments in methods and climate data sets
S Sandven, G Spreen, G Heygster… - Surveys in …, 2023 - Springer
Sea ice monitoring by polar orbiting satellites has been developed over more than four
decades and is today one of the most well-established applications of space observations …
decades and is today one of the most well-established applications of space observations …
[HTML][HTML] Understanding Arctic sea ice thickness predictability by a Markov model
Y Wang, X Yuan, H Bi, Y Ren, Y Liang, C Li… - Journal of …, 2023 - journals.ametsoc.org
The Arctic sea ice decline and associated change in maritime accessibility have created a
pressing need for sea ice thickness (SIT) predictions. This study developed a linear Markov …
pressing need for sea ice thickness (SIT) predictions. This study developed a linear Markov …
[HTML][HTML] Improving Arctic weather and seasonal climate prediction: recommendations for future forecast systems evolution from the European project APPLICATE
P Ortega, EW Blockley, M Køltzow… - Bulletin of the …, 2022 - journals.ametsoc.org
The Arctic environment is changing, increasing the vulnerability of local communities and
ecosystems, and impacting its socio-economic landscape. In this context, weather and …
ecosystems, and impacting its socio-economic landscape. In this context, weather and …
[HTML][HTML] Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology
In this study, we investigate the fully multivariate state and parameter estimation through
idealised simulations of a dynamics-only model that uses the novel Maxwell elasto-brittle …
idealised simulations of a dynamics-only model that uses the novel Maxwell elasto-brittle …
[HTML][HTML] Improving Arctic sea-ice thickness estimates with the assimilation of CryoSat-2 summer observations
Rapidly shrinking Arctic sea ice has had substantial impacts on the Earth system. Therefore,
reliably estimating the Arctic sea-ice thickness (SIT) using a combination of available …
reliably estimating the Arctic sea-ice thickness (SIT) using a combination of available …
[HTML][HTML] The effects of assimilating a sub-grid-scale sea ice thickness distribution in a new Arctic sea ice data assimilation system
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 …
have been made, allowing researchers to understand the state of the Arctic sea ice system …
[HTML][HTML] 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) …
[HTML][HTML] Exploring non-Gaussian sea ice characteristics via observing system simulation experiments
C Riedel, J Anderson - The Cryosphere, 2024 - tc.copernicus.org
The Arctic is warming at a faster rate compared to the globe on average, a phenomenon
commonly referred to as Arctic amplification. Sea ice has been linked to Arctic amplification …
commonly referred to as Arctic amplification. Sea ice has been linked to Arctic amplification …
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 …