53 citations as recorded by crossref.

1. SMRT: an active–passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1.0) G. Picard et al. https://doi.org/10.5194/gmd-11-2763-2018
2. Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing L. Tsang et al. https://doi.org/10.5194/tc-16-3531-2022
3. Time Series X- and Ku-Band Ground-Based Synthetic Aperture Radar Observation of Snow-Covered Soil and Its Electromagnetic Modeling C. Xiong et al. https://doi.org/10.1109/TGRS.2021.3071373
4. Van de Hulst essay: Multiple scattering of waves by discrete scatterers and rough surfaces L. Tsang https://doi.org/10.1016/j.jqsrt.2018.10.041
5. Forward simulation of thin ice backscatter mechanism in the Bohai Sea region based on the MSIB and SMRT coupling model Z. Wang et al. https://doi.org/10.1080/17538947.2025.2515538
6. Relating optical and microwave grain metrics of snow: the relevance of grain shape Q. Krol & H. Löwe https://doi.org/10.5194/tc-10-2847-2016
7. Arctic and subarctic snow microstructure analysis for microwave brightness temperature simulations C. Vargel et al. https://doi.org/10.1016/j.rse.2020.111754
8. X-Ray Tomography-Based Microstructure Representation in the Snow Microwave Radiative Transfer Model M. Sandells et al. https://doi.org/10.1109/TGRS.2021.3086412
9. Scaling laws for the mechanics of loose and cohesive granular materials based on Baxter's sticky hard spheres J. Gaume et al. https://doi.org/10.1103/PhysRevE.96.032914
10. On the Relationship Between Stickiness in DMRT Theory and Physical Parameters of Snowpack: Theoretical Formulation and Experimental Validation With SNOWPACK Snow Model and X-Band SAR Data S. Pilia et al. https://doi.org/10.1109/TGRS.2022.3201669
11. The influence of snow microstructure on dual-frequency radar measurements in a tundra environment J. King et al. https://doi.org/10.1016/j.rse.2018.05.028
12. Microstructure representation of snow in coupled snowpack and microwave emission models M. Sandells et al. https://doi.org/10.5194/tc-11-229-2017
13. Penetration of interferometric radar signals in Antarctic snow H. Rott et al. https://doi.org/10.5194/tc-15-4399-2021
14. Anisotropy of seasonal snow measured by polarimetric phase differences in radar time series S. Leinss et al. https://doi.org/10.5194/tc-10-1771-2016
15. Combination of Snow Process Model Priors and Site Representativeness Evaluation to Improve the Global Snow Depth Retrieval Based on Passive Microwaves J. Pan et al. https://doi.org/10.1109/TGRS.2023.3276651
16. Estimating the upper depth of subsurface water on the Greenland Ice Sheet using multi-frequency passive microwave remote sensing, radiative transfer modeling, and machine learning B. Vandecrux et al. https://doi.org/10.1016/j.rse.2025.115197
17. Assessment of snow depth retrievability from passive microwave observations over Arctic sea ice: a global sensitivity analysis Z. Yan et al. https://doi.org/10.5194/tc-20-6157-2026
18. Microwave snow emission modeling uncertainties in boreal and subarctic environments A. Roy et al. https://doi.org/10.5194/tc-10-623-2016
19. Simulation of Arctic snow microwave emission in surface-sensitive atmosphere channels M. Sandells et al. https://doi.org/10.5194/tc-18-3971-2024
20. The influence of snow microstructure on the compressive mechanical properties of weak snowpack layers J. Schöttner et al. https://doi.org/10.1016/j.actamat.2025.121657
21. Coherent backscatter enhancement in bistatic Ku- and X-band radar observations of dry snow M. Stefko et al. https://doi.org/10.5194/tc-16-2859-2022
22. Comparison of commonly-used microwave radiative transfer models for snow remote sensing A. Royer et al. https://doi.org/10.1016/j.rse.2016.12.020
23. Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey J. Helmert et al. https://doi.org/10.3390/geosciences8120489
24. Global Sensitivity Analysis of the MEMLS Model for Retrieving Snow Water Equivalent S. Gao et al. https://doi.org/10.1109/TGRS.2021.3134695
25. Microwave radiometry experiment for snow in Altay, China: time series of in situ data for electromagnetic and physical features of snowpack L. Dai et al. https://doi.org/10.5194/essd-14-3509-2022
26. Review of snow water equivalent retrieval methods using spaceborne passive microwave radiometry N. Saberi et al. https://doi.org/10.1080/01431161.2019.1654144
27. Light scattering by densely packed optically soft particle systems, with consideration of the particle agglomeration and dependent scattering L. Ma et al. https://doi.org/10.1364/AO.58.007336
28. Brief communication: A continuous formulation of microwave scattering from fresh snow to bubbly ice from first principles G. Picard et al. https://doi.org/10.5194/tc-16-3861-2022
29. Snow particles extracted from X-ray computed microtomography imagery and their single-scattering properties H. Ishimoto et al. https://doi.org/10.1016/j.jqsrt.2018.01.021
30. Constrained Inversion of a Microwave Snowpack Emission Model Using Dictionary Matching: Applications for GPM Satellite A. Ebtehaj et al. https://doi.org/10.1109/TGRS.2021.3115663
31. A physics-based Antarctic melt detection technique: combining Advanced Microwave Scanning Radiometer 2, radiative-transfer modeling, and firn modeling M. Dattler et al. https://doi.org/10.5194/tc-18-3613-2024
32. Accelerating Numerical Electromagnetic Scattering Models for Snow Microwave Emission Using Machine Learning Surrogates X. Li & C. Xiong https://doi.org/10.1109/TGRS.2026.3658678
33. Lake Ice Thickness Estimation Using Calibrated Enhanced-Resolution Passive Microwave Data L. Shi et al. https://doi.org/10.1109/TGRS.2025.3586818
34. Marked decrease in the near-surface snow density retrieved by AMSR-E satellite at Dome C, Antarctica, between 2002 and 2011 N. Champollion et al. https://doi.org/10.5194/tc-13-1215-2019
35. Improving the Snow Volume Scattering Algorithm in a Microwave Forward Model by Using Ground-Based Remote Sensing Snow Observations L. Dai et al. https://doi.org/10.1109/TGRS.2021.3064309
36. Simulation and Assimilation of Passive Microwave Data Using a Snowpack Model Coupled to a Calibrated Radiative Transfer Model Over Northeastern Canada F. Larue et al. https://doi.org/10.1029/2017WR022132
37. Evaluation of stereology for snow microstructure measurement and microwave emission modeling: a case study J. Pan et al. https://doi.org/10.1080/17538947.2021.1902006
38. Improving the Radiance Assimilation Performance in Estimating Snow Water Storage across Snow and Land-Cover Types in North America Y. Kwon et al. https://doi.org/10.1175/JHM-D-16-0102.1
39. On the Use of COSMO-SkyMed X-Band SAR for Estimating Snow Water Equivalent in Alpine Areas: A Retrieval Approach Based on Machine Learning and Snow Models E. Santi et al. https://doi.org/10.1109/TGRS.2022.3191409
40. Considerations for Ku-Band Radar Retrieval of Snow Water Equivalent at Mid-Latitude Ontario Agricultural Sites A. Thompson & R. Kelly https://doi.org/10.1080/07038992.2021.1898938
41. Microstructural controls of anticrack nucleation in highly porous brittle solids J. Ritter et al. https://doi.org/10.1038/s41598-020-67926-2
42. The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions G. Picard et al. https://doi.org/10.1029/2021AV000630
43. Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements J. Lemmetyinen et al. https://doi.org/10.3390/rs10020170
44. Evaluation of the Effective Microstructure Parameter of the Microwave Emission Model of Layered Snowpack for Multiple-Layer Snow Y. Yu et al. https://doi.org/10.3390/rs13102012
45. Snow wetness retrieval for snowmelt monitoring using dualpolarization SAR data W. Ma et al. https://doi.org/10.1080/10095020.2025.2575799
46. Understanding Uncertainty of Snow Radiative Transfer Modeling Within a Mixed Deciduous and Evergreen Forest T. Letcher et al. https://doi.org/10.1109/JSTARS.2021.3099944
47. Forward modelling of synthetic aperture radar backscatter from lake ice over Canadian Subarctic Lakes J. Murfitt et al. https://doi.org/10.1016/j.rse.2022.113424
48. The Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow N. Saberi et al. https://doi.org/10.1109/TGRS.2020.3004594
49. Sentinel-1 cross-polarization ratio as a proxy for surface mass balance across east Antarctic ice rises T. Kausch et al. https://doi.org/10.5194/tc-20-511-2026
50. Evaluation of Brightness Temperature Sensitivity to Snowpack Physical Properties Using Coupled Snow Physics and Microwave Radiative Transfer Models D. Kang et al. https://doi.org/10.1109/TGRS.2019.2932732
51. Investigating the Effect of Lake Ice Properties on Multifrequency Backscatter Using the Snow Microwave Radiative Transfer Model J. Murfitt et al. https://doi.org/10.1109/TGRS.2022.3197109
52. Forward modelling of passive microwave emissivities over snow-covered areas at continental scale I. de Gélis et al. https://doi.org/10.1016/j.rse.2025.114821
53. Exploiting the ANN Potential in Estimating Snow Depth and Snow Water Equivalent From the Airborne SnowSAR Data at X- and Ku-Bands E. Santi et al. https://doi.org/10.1109/TGRS.2021.3086893