Articles | Volume 10, issue 6
https://doi.org/10.5194/tc-10-2847-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-10-2847-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Nov 2016
Research article |
| 21 Nov 2016
Relating optical and microwave grain metrics of snow: the relevance of grain shape
Quirine Krol
WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260 Davos Dorf, Switzerland
WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260 Davos Dorf, Switzerland
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Cited
23 citations as recorded by crossref.
- A casting method using contrast-enhanced diethylphthalate for micro-computed tomography of snow M. Lombardo et al. 10.1017/jog.2021.35
- Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure M. Dumont et al. 10.5194/tc-15-3921-2021
- Numerical experiments on vapor diffusion in polar snow and firn and its impact on isotopes using the multi-layer energy balance model Crocus in SURFEX v8.0 A. Touzeau et al. 10.5194/gmd-11-2393-2018
- Evaluation of stereology for snow microstructure measurement and microwave emission modeling: a case study J. Pan et al. 10.1080/17538947.2021.1902006
- SMRT: an active–passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1.0) G. Picard et al. 10.5194/gmd-11-2763-2018
- Multi-tracer study of gas trapping in an East Antarctic ice core K. Fourteau et al. 10.5194/tc-13-3383-2019
- Characterizing tundra snow sub-pixel variability to improve brightness temperature estimation in satellite SWE retrievals J. Meloche et al. 10.5194/tc-16-87-2022
- Upscaling ice crystal growth dynamics in snow: Rigorous modeling and comparison to 4D X-ray tomography data Q. Krol & H. Löwe 10.1016/j.actamat.2018.03.010
- Predicting new snow density in the Italian Alps: A variability analysis based on 10 years of measurements M. Valt et al. 10.1002/hyp.13249
- Arctic and subarctic snow microstructure analysis for microwave brightness temperature simulations C. Vargel et al. 10.1016/j.rse.2020.111754
- The layered evolution of fabric and microstructure of snow at Point Barnola, Central East Antarctica N. Calonne et al. 10.1016/j.epsl.2016.11.041
- Spectral measurements of surface hoar crystals S. HORTON & B. JAMIESON 10.1017/jog.2017.6
- Grand Challenges in Cryospheric Sciences: Toward Better Predictability of Glaciers, Snow and Sea Ice R. Hock et al. 10.3389/feart.2017.00064
- Unraveling the optical shape of snow A. Robledano et al. 10.1038/s41467-023-39671-3
- Comparison of commonly-used microwave radiative transfer models for snow remote sensing A. Royer et al. 10.1016/j.rse.2016.12.020
- Time Series X- and Ku-Band Ground-Based Synthetic Aperture Radar Observation of Snow-Covered Soil and Its Electromagnetic Modeling C. Xiong et al. 10.1109/TGRS.2021.3071373
- Snow particles extracted from X-ray computed microtomography imagery and their single-scattering properties H. Ishimoto et al. 10.1016/j.jqsrt.2018.01.021
- The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions G. Picard et al. 10.1029/2021AV000630
- Snow Multidata Mapping and Modeling (S3M) 5.1: a distributed cryospheric model with dry and wet snow, data assimilation, glacier mass balance, and debris-driven melt F. Avanzi et al. 10.5194/gmd-15-4853-2022
- Review of snow water equivalent retrieval methods using spaceborne passive microwave radiometry N. Saberi et al. 10.1080/01431161.2019.1654144
- Comparison of different methods to retrieve optical-equivalent snow grain size in central Antarctica T. Carlsen et al. 10.5194/tc-11-2727-2017
- A microstructure-based parameterization of the effective anisotropic elasticity tensor of snow, firn, and bubbly ice K. Sundu et al. 10.5194/tc-18-1579-2024
- Modeling the evolution of the structural anisotropy of snow S. Leinss et al. 10.5194/tc-14-51-2020
23 citations as recorded by crossref.
- A casting method using contrast-enhanced diethylphthalate for micro-computed tomography of snow M. Lombardo et al. 10.1017/jog.2021.35
- Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure M. Dumont et al. 10.5194/tc-15-3921-2021
- Numerical experiments on vapor diffusion in polar snow and firn and its impact on isotopes using the multi-layer energy balance model Crocus in SURFEX v8.0 A. Touzeau et al. 10.5194/gmd-11-2393-2018
- Evaluation of stereology for snow microstructure measurement and microwave emission modeling: a case study J. Pan et al. 10.1080/17538947.2021.1902006
- SMRT: an active–passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1.0) G. Picard et al. 10.5194/gmd-11-2763-2018
- Multi-tracer study of gas trapping in an East Antarctic ice core K. Fourteau et al. 10.5194/tc-13-3383-2019
- Characterizing tundra snow sub-pixel variability to improve brightness temperature estimation in satellite SWE retrievals J. Meloche et al. 10.5194/tc-16-87-2022
- Upscaling ice crystal growth dynamics in snow: Rigorous modeling and comparison to 4D X-ray tomography data Q. Krol & H. Löwe 10.1016/j.actamat.2018.03.010
- Predicting new snow density in the Italian Alps: A variability analysis based on 10 years of measurements M. Valt et al. 10.1002/hyp.13249
- Arctic and subarctic snow microstructure analysis for microwave brightness temperature simulations C. Vargel et al. 10.1016/j.rse.2020.111754
- The layered evolution of fabric and microstructure of snow at Point Barnola, Central East Antarctica N. Calonne et al. 10.1016/j.epsl.2016.11.041
- Spectral measurements of surface hoar crystals S. HORTON & B. JAMIESON 10.1017/jog.2017.6
- Grand Challenges in Cryospheric Sciences: Toward Better Predictability of Glaciers, Snow and Sea Ice R. Hock et al. 10.3389/feart.2017.00064
- Unraveling the optical shape of snow A. Robledano et al. 10.1038/s41467-023-39671-3
- Comparison of commonly-used microwave radiative transfer models for snow remote sensing A. Royer et al. 10.1016/j.rse.2016.12.020
- Time Series X- and Ku-Band Ground-Based Synthetic Aperture Radar Observation of Snow-Covered Soil and Its Electromagnetic Modeling C. Xiong et al. 10.1109/TGRS.2021.3071373
- Snow particles extracted from X-ray computed microtomography imagery and their single-scattering properties H. Ishimoto et al. 10.1016/j.jqsrt.2018.01.021
- The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions G. Picard et al. 10.1029/2021AV000630
- Snow Multidata Mapping and Modeling (S3M) 5.1: a distributed cryospheric model with dry and wet snow, data assimilation, glacier mass balance, and debris-driven melt F. Avanzi et al. 10.5194/gmd-15-4853-2022
- Review of snow water equivalent retrieval methods using spaceborne passive microwave radiometry N. Saberi et al. 10.1080/01431161.2019.1654144
- Comparison of different methods to retrieve optical-equivalent snow grain size in central Antarctica T. Carlsen et al. 10.5194/tc-11-2727-2017
- A microstructure-based parameterization of the effective anisotropic elasticity tensor of snow, firn, and bubbly ice K. Sundu et al. 10.5194/tc-18-1579-2024
- Modeling the evolution of the structural anisotropy of snow S. Leinss et al. 10.5194/tc-14-51-2020
Latest update: 14 Dec 2024
Short summary
Optical and microwave modelling of snow involve different metrics of "grain size" and existing, empirical relations between them are subject to considerable scatter. We introduce two objectively defined metrics of grain shape, derived from micro-computed tomography images, that lead to improved statistical models between the different grain metrics. Our results allow to assess the relevance of grain shape in both fields on common grounds.
Optical and microwave modelling of snow involve different metrics of "grain size" and existing,...
