71 citations as recorded by crossref.

1. The effects of assimilating a sub-grid-scale sea ice thickness distribution in a new Arctic sea ice data assimilation system N. Williams et al. 10.5194/tc-17-2509-2023
2. Summertime sea-ice prediction in the Weddell Sea improved by sea-ice thickness initialization Y. Morioka et al. 10.1038/s41598-021-91042-4
3. Subseasonal-to-seasonal prediction of arctic sea ice Using a Fully Coupled dynamical ensemble forecast system A. Liu et al. 10.1016/j.atmosres.2023.107014
4. Toward improved sea ice freeboard observation with SAR altimetry using the physical retracker SAMOSA+ A. Laforge et al. 10.1016/j.asr.2020.02.001
5. Strain response and energy dissipation of floating saline ice under cyclic compressive stress M. Wei et al. 10.5194/tc-14-2849-2020
6. The SARAL/AltiKa mission: A step forward to the future of altimetry J. Verron et al. 10.1016/j.asr.2020.01.030
7. An anatomy of Arctic sea ice forecast biases in the seasonal prediction system with EC-Earth R. Cruz-García et al. 10.1007/s00382-020-05560-4
8. A Spring Barrier for Regional Predictions of Summer Arctic Sea Ice D. Bonan et al. 10.1029/2019GL082947
9. Should Sea-Ice Modeling Tools Designed for Climate Research Be Used for Short-Term Forecasting? E. Hunke et al. 10.1007/s40641-020-00162-y
10. Assimilation of SMOS sea ice thickness in the regional ice prediction system M. Gupta et al. 10.1080/01431161.2021.1897183
11. Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) E. Fiedler et al. 10.5194/tc-16-61-2022
12. Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
13. Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3 T. Tian et al. 10.5194/gmd-14-4283-2021
14. Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
15. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
16. Evaluating Benefits of Two-Way Ocean–Atmosphere Coupling for Global NWP Forecasts M. Vellinga et al. 10.1175/WAF-D-20-0035.1
17. Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al. 10.5194/tc-15-325-2021
18. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
19. Satellite-Based Data Assimilation System for the Initialization of Arctic Sea Ice Concentration and Thickness Using CICE5 J. Lee & Y. Ham 10.3389/fclim.2022.797733
20. Added value of assimilating springtime Arctic sea ice concentration in summer-fall climate predictions J. Acosta Navarro et al. 10.1088/1748-9326/ac6c9b
21. Suitability of the CICE sea ice model for seasonal prediction and positive impact of CryoSat-2 ice thickness initialization S. Sun & A. Solomon 10.5194/tc-18-3033-2024
22. Winter Coastal Divergence as a Predictor for the Minimum Sea Ice Extent in the Laptev Sea C. Brunette et al. 10.1175/JCLI-D-18-0169.1
23. Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al. 10.5194/tc-13-1187-2019
24. Improving Arctic Sea-Ice Thickness Estimates with the Assimilation of CryoSat-2 Summer Observations C. Min et al. 10.34133/olar.0025
25. Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology Y. Chen et al. 10.5194/tc-18-2381-2024
26. Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model P. Dai et al. 10.1007/s00382-020-05196-4
27. Analyzing the impact of CryoSat-2 ice thickness initialization on seasonal Arctic Sea Ice prediction R. Allard et al. 10.1017/aog.2020.15
28. Reassessing seasonal sea ice predictability of the Pacific-Arctic sector using a Markov model Y. Wang et al. 10.5194/tc-16-1141-2022
29. 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
30. Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice S. Xu et al. 10.5194/tc-14-751-2020
31. Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. 10.1029/2021JC017466
32. New insight from CryoSat-2 sea ice thickness for sea ice modelling D. Schröder et al. 10.5194/tc-13-125-2019
33. Sea-ice information and forecast needs for industry maritime stakeholders P. Wagner et al. 10.1080/1088937X.2020.1766592
34. Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al. 10.1029/2022MS003176
35. The Summer North Atlantic Oscillation, Arctic sea ice, and Arctic jet Rossby wave forcing C. Folland et al. 10.1126/sciadv.adk6693
36. From Observation to Information and Users: The Copernicus Marine Service Perspective P. Le Traon et al. 10.3389/fmars.2019.00234
37. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
38. Comparing elevation and backscatter retrievals from CryoSat-2 and ICESat-2 over Arctic summer sea ice G. Dawson & J. Landy 10.5194/tc-17-4165-2023
39. Ocean Observations to Improve Our Understanding, Modeling, and Forecasting of Subseasonal-to-Seasonal Variability A. Subramanian et al. 10.3389/fmars.2019.00427
40. Prediction of Pan-Arctic Sea Ice Using Attention-Based LSTM Neural Networks J. Wei et al. 10.3389/fmars.2022.860403
41. Improving Arctic sea ice seasonal outlook by ensemble prediction using an ice-ocean model Q. Yang et al. 10.1016/j.atmosres.2019.04.021
42. Seasonal Predictions of Regional and Pan-Antarctic Sea Ice With a Dynamical Forecast System R. Payne et al. 10.1080/07055900.2023.2252387
43. The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission M. Kern et al. 10.5194/tc-14-2235-2020
44. Seasonal Arctic Sea Ice Prediction Using a Newly Developed Fully Coupled Regional Model With the Assimilation of Satellite Sea Ice Observations C. Yang et al. 10.1029/2019MS001938
45. Respective influences of perturbed atmospheric and ocean–sea ice initial conditions on the skill of seasonal Antarctic sea ice predictions: A study with NEMO3.6–LIM3 S. Marchi et al. 10.1016/j.ocemod.2020.101591
46. Advances in Seasonal Predictions of Arctic Sea Ice With NOAA UFS J. Zhu et al. 10.1029/2022GL102392
47. A Mechanism for the Arctic Sea Ice Spring Predictability Barrier M. Bushuk et al. 10.1029/2020GL088335
48. How to get your message across: designing an impactful knowledge transfer plan in a European project S. Pasqualetto et al. 10.5194/gc-5-87-2022
49. Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system S. Fritzner et al. 10.5194/tc-13-491-2019
50. Impact of sea-ice thickness initialized in April on Arctic sea-ice extent predictability with the MIROC climate model J. Ono et al. 10.1017/aog.2020.13
51. Faster decline and higher variability in the sea ice thickness of the marginal Arctic seas when accounting for dynamic snow cover R. Mallett et al. 10.5194/tc-15-2429-2021
52. A 10-year record of Arctic summer sea ice freeboard from CryoSat-2 G. Dawson et al. 10.1016/j.rse.2021.112744
53. Winter arctic sea ice volume decline: uncertainties reduced using passive microwave-based sea ice thickness C. Soriot et al. 10.1038/s41598-024-70136-9
54. 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
55. Alleviation of an Arctic Sea Ice Bias in a Coupled Model Through Modifications in the Subgrid‐Scale Orographic Parameterization G. Gastineau et al. 10.1029/2020MS002111
56. Intercomparison of Arctic sea ice simulation in ROMS-CICE and ROMS-Budgell R. Kumar et al. 10.1016/j.polar.2021.100716
57. Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts duringXuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. 10.1017/jog.2019.55
58. Scalable interpolation of satellite altimetry data with probabilistic machine learning W. Gregory et al. 10.1038/s41467-024-51900-x
59. Brief communication: Conventional assumptions involving the speed of radar waves in snow introduce systematic underestimates to sea ice thickness and seasonal growth rate estimates R. Mallett et al. 10.5194/tc-14-251-2020
60. Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat‐2 Sea Ice Thickness Observations Y. Zhang et al. 10.1029/2023GL105672
61. Assessment of radar freeboard, radar penetration rate, and snow depth for potential improvements in Arctic sea ice thickness retrieved from CryoSat-2 Y. Zhou et al. 10.1016/j.coldregions.2024.104408
62. 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
63. Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales L. Zampieri et al. 10.1029/2019GL084096
64. Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season G. Smith et al. 10.3389/fmars.2019.00429
65. Arctic supply chain reliability in Baffin Bay and Greenland J. Taarup-Esbensen & O. Gudmestad 10.1080/1088937X.2022.2032447
66. Effectiveness of wind-constrained sea-ice momentum on formation of sea-ice distribution and upper halocline of Arctic Ocean in climate model J. Ono et al. 10.1088/2752-5295/ad3fdc
67. Arctic sea ice concentration and thickness data assimilation in the FIO-ESM climate forecast system Q. Shu et al. 10.1007/s13131-021-1768-4
68. Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration J. Lee & Y. Ham 10.1038/s41612-023-00402-6
69. Summer predictions of Arctic sea ice edge in multi-model seasonal re-forecasts L. Batté et al. 10.1007/s00382-020-05273-8
70. 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
71. Arctic‐Wide Sea Ice Thickness Estimates From Combining Satellite Remote Sensing Data and a Dynamic Ice‐Ocean Model with Data Assimilation During the CryoSat‐2 Period L. Mu et al. 10.1029/2018JC014316