Articles | Volume 20, issue 3
https://doi.org/10.5194/tc-20-1523-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
09 Mar 2026
Research article |
| 09 Mar 2026
| 09 Mar 2026
Sea ice albedo bounded data assimilation and its impact on modeling: a regional approach
Related authors
EGUsphere, 2026
This preprint is open for discussion and under review for The Cryosphere (TC).
The Cryosphere, 19, 6207–6227, 2025
The Cryosphere, 15, 1277–1284, 2021
Cited articles
Agarwal, S., Moon, W., and Wettlaufer, J. S.: Decadal to seasonal variability of Arctic sea ice albedo, Geophys. Res. Lett., 38, L20504, https://doi.org/10.1029/2011GL049109, 2011. a
Anderson, J. L., Hoar, T. J., Raeder, K., Liu, H., Collins, N., Torn, R., and Avellano, A.: The Data Assimilation Research Testbed: A Community Facility, B. Am. Meteorol. Soc., 90, 1283–1296, https://doi.org/10.1175/2009BAMS2618.1, 2009. a
Anderson, J., Riedel, C., Wieringa, M., Ishraque, F., Smith, M., and Kershaw, H.: A Quantile-Conserving Ensemble Filter Framework. Part III: Data Assimilation for Mixed Distributions with Application to a Low-Order Tracer Advection Model, Mon. Weather Rev., 152, 2111–2127, https://doi.org/10.1175/MWR-D-23-0255.1, 2024. a, b, c, d
Anderson, J. L.: A Quantile-Conserving Ensemble Filter Framework. Part I: Updating an Observed Variable, Mon. Weather Rev., 150, 1061–1074, https://doi.org/10.1175/MWR-D-21-0229.1, 2022. a
Arndt, S. and Nicolaus, M.: Seasonal cycle and long-term trend of solar energy fluxes through Arctic sea ice, The Cryosphere, 8, 2219–2233, https://doi.org/10.5194/tc-8-2219-2014, 2014. a
