15 citations as recorded by crossref.

1. Global optimization for data assimilation in landslide tsunami models A. Ferreiro-Ferreiro et al. 10.1016/j.jcp.2019.109069
2. Impact of Sea‐Ice Model Complexity on the Performance of an Unstructured‐Mesh Sea‐Ice/Ocean Model under Different Atmospheric Forcings L. Zampieri et al. 10.1029/2020MS002438
3. Optimal power and performance trade-offs for dynamic voltage scaling in power management based wireless sensor node A. Pughat & V. Sharma 10.1016/j.pisc.2016.06.013
4. Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies T. Kaminski et al. 10.5194/tc-9-1721-2015
5. Empirical error functions for monthly mean Arctic sea‐ice drift H. Sumata et al. 10.1002/2015JC011151
6. Uncertainty of Arctic summer ice drift assessed by high-resolution SAR data H. Sumata et al. 10.1002/2015JC010810
7. Covariance of Optimal Parameters of an Arctic Sea Ice–Ocean Model H. Sumata et al. 10.1175/MWR-D-18-0375.1
8. An intercomparison of Arctic ice drift products to deduce uncertainty estimates H. Sumata et al. 10.1002/2013JC009724
9. Is weaker Arctic sea ice changing the Atlantic water circulation? P. Itkin et al. 10.1002/2013JC009633
10. An inverse method to derive surface fluxes from the closure of oceanic heat and water budgets: Application to the north‐western Mediterranean Sea G. Caniaux et al. 10.1002/2016JC012167
11. Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model Q. Zhang et al. 10.3390/rs15102537
12. Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter F. Massonnet et al. 10.1002/2013JC009705
13. Simultaneous Parameter Optimization of an Arctic Sea Ice–Ocean Model by a Genetic Algorithm H. Sumata et al. 10.1175/MWR-D-18-0360.1
14. Surface Radiative Flux Bias Reduction Through Regionally Varying Cloud Fraction Parameter Nudging in a Global Coupled Forecast System J. Ridout et al. 10.1029/2019MS002006
15. The Application of a Genetic Algorithm to the Optimization of a Mesoscale Model for Emergency Response D. Werth & R. Buckley 10.1175/JAMC-D-21-0107.1