On sea ice emission modeling for MOSAiC's L-band radiometric measurements

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1017/aog.2024.38. This is version 2 of this Preprint.

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Authors

Ferran Hernández-Macià, Carolina Gabarro, Marcus Huntemann, Reza Naderpour, Joel T. Johnson, Ken C. Jezek

Abstract

The retrieval of sea ice thickness using L-band passive remote sensing requires robust models for emission from sea ice. In this work, measurements obtained from surface-based radiometers during the MOSAiC expedition are assessed with the Burke, Wilheit and SMRT radiative transfer models. These models encompass distinct methodologies: radiative transfer with/without wave coherence effects, and with/without scattering. Before running these emission models, the sea ice growth is simulated using the Cumulative Freezing Degree Days (CFDD) model to further compute the evolution of the ice structure during each period. Ice coring profiles done near the instruments are used to obtain the initial state of the computation, along with Digital Thermistor Chain (DTC) data to derive the sea ice temperature during the analyzed periods. The results suggest that the coherent approach used in the Wilheit model results in a better agreement with the horizontal polarization of the in situ measured brightness temperature. The Burke and SMRT incoherent models offer a more robust fit for the vertical component. These models are almost equivalent since the scattering considered in SMRT can be safely neglected at this low frequency, but the Burke model misses an important contribution from the snow layer above sea ice. The results also suggest that a more realistic permittivity falls between the spheres and random needles formulations, with potential for refinement, particularly for L-band applications, through future field measurements.

DOI

https://doi.org/10.31223/X5PT18

Subjects

Engineering, Physical Sciences and Mathematics

Keywords

sea ice, remote sensing, Sea-ice modeling, Sea-ice geophysics

Dates

Published: 2023-12-21 05:01

Last Updated: 2024-10-22 07:38

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License

CC BY Attribution 4.0 International