SMRT documents

Publications

• 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)

Presentations

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

Reference API documentation

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

You can also explore the documentation and find code examples via the AI Wiki. Please let us know your experience of using this via the SMRT discussions.

Code examples

• Official examples (notebooks): RunningSMRT

• Code to build figures in the GMDD paper (notenooks): SMRT1paper

• Tutorials from the 1st SMRT Workshop: Workshop tutorials