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 …

[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 …

[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 …

[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 …

[HTML][HTML] Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology

Y Chen, P Smith, A Carrassi, I Pasmans… - The …, 2024 - tc.copernicus.org
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 …

[HTML][HTML] Improving Arctic sea-ice thickness estimates with the assimilation of CryoSat-2 summer observations

C Min, Q Yang, H Luo, D Chen, T Krumpen… - Ocean-Land …, 2023 - spj.science.org
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 …

[HTML][HTML] The effects of assimilating a sub-grid-scale sea ice thickness distribution in a new Arctic sea ice data assimilation system

N Williams, N Byrne, D Feltham… - The …, 2023 - tc.copernicus.org
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 …

[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) …

[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 …

Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat‐2 Sea Ice Thickness Observations

YF Zhang, M Bushuk, M Winton, B Hurlin… - Geophysical …, 2023 - Wiley Online Library
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 …