Several resources are available to learn about SMRT:
- Reference SMRT paper (Picard et al., 2018)
- Reference SMRT altimetry paper (Larue et al., 2021)
- Effect of snow microstructure variability on Ku-band radar snow water equivalent retrievals (Rutter et al., 2019)
- Arctic and subarctic snow microstructure analysis for microwave brightness temperature simulations (Vargel et al., 2020)
- Penetration of interferometric radar signals in Antarctic snow (Rott et al., 2021)
- Characterizing tundra snow sub-pixel variability to improve brightness temperature estimation in satellite SWE retrievals (Meloche et al., 2022)
- Investigating the Effect of Lake Ice Properties on Multifrequency Backscatter Using the Snow Microwave Radiative Transfer Model (Murfitt et al., 2022)
- X-Ray Tomography-Based Microstructure Representation in the Snow Microwave Radiative Transfer Model (Sandells et al., 2022)
- The sensitivity of satellite microwave observations to liquid water in the Antarctic snowpack (Picard et al., 2022)
- Brief communication: A continuous formulation of microwave scattering from fresh snow to bubbly ice from first principles (Picard et al., 2022)
- Year-round sea ice and snow characterization from combined passive and active microwave observations and radiative transfer modeling (Soriot et al., 2022)
- The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow-Covered Regions (Picard et al., 2022)
- Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges (de Roda Husman et al., 2022)
- Evaluation and Application of SMRT Model for L-Band Brightness Temperature Simulation in Arctic Sea Ice (Fan et al., 2023)
Downloadable SMRT presentations from the 3rd SMRT workshop (6-8 July 2023, Bremerhaven, Germany):
- Introduction to SMRT and microwave modelling
- Electromagnetic Theory
- Introduction to Snow on Sea Ice
- Sea Ice in SMRT
- Snow Microstructure
- Radiative Transfer Theory in SMRT
- Substrate and Atmosphere
- Altimetry
- Parallel Computing with SMRT
- Lightning Talks from 2023 Participants
The detailed documentation with all SMRT functions and objects is in the reference API documentation
In addition, a graph "What's in SMRT" highlights all the components currently implemented
- Official examples (notebooks): RunningSMRT
- Code to build figures in the GMDD paper (notenooks): SMRT1paper
- Tutorials from the 1st SMRT Workshop: Workshop tutorials