52 citations as recorded by crossref.

1. Summertime sea-ice prediction in the Weddell Sea improved by sea-ice thickness initialization Y. Morioka et al. 10.1038/s41598-021-91042-4
2. 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
3. Strain response and energy dissipation of floating saline ice under cyclic compressive stress M. Wei et al. 10.5194/tc-14-2849-2020
4. The SARAL/AltiKa mission: A step forward to the future of altimetry J. Verron et al. 10.1016/j.asr.2020.01.030
5. 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
6. A Spring Barrier for Regional Predictions of Summer Arctic Sea Ice D. Bonan et al. 10.1029/2019GL082947
7. 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
8. Assimilation of SMOS sea ice thickness in the regional ice prediction system M. Gupta et al. 10.1080/01431161.2021.1897183
9. 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
10. 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
11. 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 the Arctic D. Mignac et al. 10.1002/qj.4252
12. Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
13. The potential of numerical prediction systems to support the design of Arctic observing systems: Insights from the APPLICATE and YOPP projects I. Sandu et al. 10.1002/qj.4182
14. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
15. Evaluating Benefits of Two-Way Ocean–Atmosphere Coupling for Global NWP Forecasts M. Vellinga et al. 10.1175/WAF-D-20-0035.1
16. Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al. 10.5194/tc-15-325-2021
17. 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
18. 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
19. Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al. 10.5194/tc-13-1187-2019
20. Distributed sensemaking in network risk analysis J. Taarup‐Esbensen 10.1111/risa.13895
21. 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
22. Analyzing the impact of CryoSat-2 ice thickness initialization on seasonal Arctic Sea Ice prediction R. Allard et al. 10.1017/aog.2020.15
23. 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
24. Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice S. Xu et al. 10.5194/tc-14-751-2020
25. Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. 10.1029/2021JC017466
26. New insight from CryoSat-2 sea ice thickness for sea ice modelling D. Schröder et al. 10.5194/tc-13-125-2019
27. Sea-ice information and forecast needs for industry maritime stakeholders P. Wagner et al. 10.1080/1088937X.2020.1766592
28. From Observation to Information and Users: The Copernicus Marine Service Perspective P. Le Traon et al. 10.3389/fmars.2019.00234
29. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
30. Ocean Observations to Improve Our Understanding, Modeling, and Forecasting of Subseasonal-to-Seasonal Variability A. Subramanian et al. 10.3389/fmars.2019.00427
31. 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
32. The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission M. Kern et al. 10.5194/tc-14-2235-2020
33. Winter Arctic Sea Ice Thickness From ICESat‐2 Freeboards A. Petty et al. 10.1029/2019JC015764
34. 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
35. 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
36. A Mechanism for the Arctic Sea Ice Spring Predictability Barrier M. Bushuk et al. 10.1029/2020GL088335
37. 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
38. 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
39. 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
40. A 10-year record of Arctic summer sea ice freeboard from CryoSat-2 G. Dawson et al. 10.1016/j.rse.2021.112744
41. 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
42. Intercomparison of Arctic sea ice simulation in ROMS-CICE and ROMS-Budgell R. Kumar et al. 10.1016/j.polar.2021.100716
43. Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts during Xuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. 10.1017/jog.2019.55
44. 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
45. 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
46. Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales L. Zampieri et al. 10.1029/2019GL084096
47. 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
48. Arctic supply chain reliability in Baffin Bay and Greenland J. Taarup-Esbensen & O. Gudmestad 10.1080/1088937X.2022.2032447
49. 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
50. Summer predictions of Arctic sea ice edge in multi-model seasonal re-forecasts L. Batté et al. 10.1007/s00382-020-05273-8
51. Current and Emerging Developments in Subseasonal to Decadal Prediction W. Merryfield et al. 10.1175/BAMS-D-19-0037.1
52. 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