Articles | Volume 15, issue 1
https://doi.org/10.5194/tc-15-325-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-325-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jan 2021
Research article |
| 26 Jan 2021
| 26 Jan 2021
Year-round impact of winter sea ice thickness observations on seasonal forecasts
Beena Balan-Sarojini
CORRESPONDING AUTHOR
The European Centre for Medium-Range Weather Forecasts, Shinfield Rd, Reading RG2 9AX, UK
Steffen Tietsche
The European Centre for Medium-Range Weather Forecasts, Shinfield Rd, Reading RG2 9AX, UK
Michael Mayer
The European Centre for Medium-Range Weather Forecasts, Shinfield Rd, Reading RG2 9AX, UK
Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria
Magdalena Balmaseda
The European Centre for Medium-Range Weather Forecasts, Shinfield Rd, Reading RG2 9AX, UK
The European Centre for Medium-Range Weather Forecasts, Shinfield Rd, Reading RG2 9AX, UK
Patricia de Rosnay
The European Centre for Medium-Range Weather Forecasts, Shinfield Rd, Reading RG2 9AX, UK
Tim Stockdale
The European Centre for Medium-Range Weather Forecasts, Shinfield Rd, Reading RG2 9AX, UK
Frederic Vitart
The European Centre for Medium-Range Weather Forecasts, Shinfield Rd, Reading RG2 9AX, UK
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Cited
11 citations as recorded by crossref.
- Understanding the Forecast Skill of Rapid Arctic Sea Ice Loss on Subseasonal Time Scales M. McGraw et al. 10.1175/JCLI-D-21-0301.1
- Monthly Arctic Sea‐Ice Prediction With a Linear Inverse Model M. Brennan et al. 10.1029/2022GL101656
- Network connectivity between the winter Arctic Oscillation and summer sea ice in CMIP6 models and observations W. Gregory et al. 10.5194/tc-16-1653-2022
- Projections of central Arctic summer sea surface temperatures in CMIP6 J. Han et al. 10.1088/1748-9326/ad0c8a
- A Bayesian approach towards daily pan-Arctic sea ice freeboard estimates from combined CryoSat-2 and Sentinel-3 satellite observations W. Gregory et al. 10.5194/tc-15-2857-2021
- The Challenge of Arctic Sea Ice Thickness Prediction by ECMWF on Subseasonal Time Scales Y. Xiu et al. 10.1029/2021GL097476
- Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic C. Durand et al. 10.5194/tc-18-1791-2024
- Added value of assimilating springtime Arctic sea ice concentration in summer-fall climate predictions J. Acosta Navarro et al. 10.1088/1748-9326/ac6c9b
- Bounded and categorized: targeting data assimilation for sea ice fractional coverage and nonnegative quantities in a single-column multi-category sea ice model M. Wieringa et al. 10.5194/tc-18-5365-2024
- Assessment of sea ice thickness simulations in the CMIP6 models with CICE components M. Xu & J. Li 10.3389/fmars.2023.1223772
- Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU’s Horizon 2020 Programme M. Mäkynen et al. 10.3390/rs12071214
9 citations as recorded by crossref.
- Understanding the Forecast Skill of Rapid Arctic Sea Ice Loss on Subseasonal Time Scales M. McGraw et al. 10.1175/JCLI-D-21-0301.1
- Monthly Arctic Sea‐Ice Prediction With a Linear Inverse Model M. Brennan et al. 10.1029/2022GL101656
- Network connectivity between the winter Arctic Oscillation and summer sea ice in CMIP6 models and observations W. Gregory et al. 10.5194/tc-16-1653-2022
- Projections of central Arctic summer sea surface temperatures in CMIP6 J. Han et al. 10.1088/1748-9326/ad0c8a
- A Bayesian approach towards daily pan-Arctic sea ice freeboard estimates from combined CryoSat-2 and Sentinel-3 satellite observations W. Gregory et al. 10.5194/tc-15-2857-2021
- The Challenge of Arctic Sea Ice Thickness Prediction by ECMWF on Subseasonal Time Scales Y. Xiu et al. 10.1029/2021GL097476
- Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic C. Durand et al. 10.5194/tc-18-1791-2024
- Added value of assimilating springtime Arctic sea ice concentration in summer-fall climate predictions J. Acosta Navarro et al. 10.1088/1748-9326/ac6c9b
- Bounded and categorized: targeting data assimilation for sea ice fractional coverage and nonnegative quantities in a single-column multi-category sea ice model M. Wieringa et al. 10.5194/tc-18-5365-2024
2 citations as recorded by crossref.
- Assessment of sea ice thickness simulations in the CMIP6 models with CICE components M. Xu & J. Li 10.3389/fmars.2023.1223772
- Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU’s Horizon 2020 Programme M. Mäkynen et al. 10.3390/rs12071214
Latest update: 13 Dec 2024
Short summary
Our study for the first time shows the impact of measured sea ice thickness (SIT) on seasonal forecasts of all the seasons. We prove that the long-term memory present in the Arctic winter SIT is helpful to improve summer sea ice forecasts. Our findings show that realistic SIT initial conditions to start a forecast are useful in (1) improving seasonal forecasts, (2) understanding errors in the forecast model, and (3) recognizing the need for continuous monitoring of world's ice-covered oceans.
Our study for the first time shows the impact of measured sea ice thickness (SIT) on seasonal...
