34 citations as recorded by crossref.

1. A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. 10.5194/tc-16-4403-2022
2. Inter-comparison of snow depth over Arctic sea ice from reanalysis reconstructions and satellite retrieval L. Zhou et al. 10.5194/tc-15-345-2021
3. A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. 10.5194/tc-17-2871-2023
4. Retrieval of Snow Depth on Arctic Sea Ice from the FY3B/MWRI L. Li et al. 10.3390/rs13081457
5. Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers X. Shen et al. 10.5194/essd-14-619-2022
6. A deep learning approach to retrieve cold-season snow depth over Arctic sea ice from AMSR2 measurements H. Li et al. 10.1016/j.rse.2021.112840
7. Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean L. Zhou et al. 10.5194/tc-18-4399-2024
8. A Suitable Retrieval Algorithm of Arctic Snow Depths with AMSR-2 and Its Application to Sea Ice Thicknesses of Cryosat-2 Data Z. Dong et al. 10.3390/rs14041041
9. Toward Daily Snow Depth Estimation on Arctic Sea Ice During the Whole Winter Season From Passive Microwave Radiometer Data L. He et al. 10.1109/TGRS.2024.3358340
10. Inter-comparisons of Arctic snow depth products M. Li et al. 10.1080/17538947.2024.2376286
11. Step-by-Step Validation of Antarctic ASI AMSR-E Sea-Ice Concentrations by MODIS and an Aerial Image Q. Shi et al. 10.1109/TGRS.2020.2989037
12. Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network A. Braakmann-Folgmann & C. Donlon 10.5194/tc-13-2421-2019
13. Sensitivity of Passive Microwave Satellite Observations to Snow Density and Grain Size Over Arctic Sea Ice Y. Kwon et al. 10.1109/TGRS.2023.3322401
14. Inter-Sensor Calibration between HY-2B and AMSR2 Passive Microwave Data in Land Surface and First Result for Snow Water Equivalent Retrieval S. Gao et al. 10.3390/s19225023
15. A D-InSAR method to improve snow depth estimation accuracy Y. Zhang et al. 10.1360/TB-2022-0679
16. Estimation of summer pan-Arctic ice draft from satellite passive microwave observations J. Kim et al. 10.1016/j.rse.2023.113662
17. Improving snow depth simulations on Arctic Sea ice by assimilating a passive microwave-derived record H. Li et al. 10.1016/j.coldregions.2023.103929
18. Improved snow depth retrieval over Arctic sea ice from FY-3 satellites using machine learning and its future scenario projection C. Ke et al. 10.1016/j.jhydrol.2024.132105
19. On the Synergy of SMAP and AMSR2 for Estimating Snow Depth on Arctic Sea Ice L. He et al. 10.1109/LGRS.2022.3188001
20. Development of ANN-Based Algorithm to Estimate Wintertime Sea Ice Temperature Profile Over the Arctic Ocean S. Baek et al. 10.1109/TGRS.2023.3293137
21. Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2 L. He et al. 10.1109/TGRS.2023.3290073
22. Snowfall events in the Cantabrian Mountains of northwestern Spain: WRF multiphysics ensemble assessment based on ground and multi-satellite observations A. Melón-Nava et al. 10.1016/j.atmosres.2023.106719
23. High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data A. Jutila et al. 10.1109/TGRS.2021.3063756
24. Arctic Sea Ice Surface Temperature Inversion Using FY-3D/MWRI Brightness Temperature Data X. Meng et al. 10.3390/rs16030490
25. Year-round sea ice and snow characterization from combined passive and active microwave observations and radiative transfer modeling C. Soriot et al. 10.1016/j.rse.2022.113061
26. Investigation of Environmental Effects on Coherence Loss in SAR Interferometry for Snow Water Equivalent Retrieval J. Ruiz et al. 10.1109/TGRS.2022.3223760
27. Impact of microwave observations on the estimation of Arctic sea surface temperatures P. Nielsen-Englyst et al. 10.1016/j.rse.2023.113949
28. A Multiscale Dual Attention Network for the Automatic Classification of Polar Sea Ice and Open Water Based on Sentinel-1 SAR Images Z. Zhang et al. 10.1109/JSTARS.2024.3354912
29. Simulated Geophysical Noise in Sea Ice Concentration Estimates of Open Water and Snow-Covered Sea Ice R. Tonboe et al. 10.1109/JSTARS.2021.3134021
30. A New Bias Correction Approach for Better Assimilation of Microwave Sounding Data Over Winter Sea Ice in the Korean Integrated Model J. Kim et al. 10.1109/TGRS.2023.3335930
31. Retrieval of Snow Depths on Arctic Sea Ice in the Cold Season from FY-3D/MWRI Data Q. Yin et al. 10.3390/rs16050821
32. Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements: Uncertainty Analyses X. Lu et al. 10.3389/frsen.2022.891481
33. Simultaneous estimation of wintertime sea ice thickness and snow depth from space-borne freeboard measurements H. Shi et al. 10.5194/tc-14-3761-2020
34. Retrieval of Snow Depth over Arctic Sea Ice Using a Deep Neural Network J. Liu et al. 10.3390/rs11232864