Application of the dense medium radiative transfer theory for calculating microwave emissivities of different sea ice types

Schmidt, K. Sebastian; Wauer, Jochen

doi:10.1080/014311699211688

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…new snow, hard slab, faceted snow and depth hoar and saline slush (Massom et al, 1998;Sturm and Benson, 1997). Established radiative transfer models, such as MEMLS (Tonboe et al, 2006), DMRT-ML (Schmidt and Wauer, 1999), and SMRT (Picard et al, 2018), despite their contributions, have been limited in representing the true complexity of snow stratigraphy over sea ice, mainly tailoring to singlelayer simulations adept for dry, cold conditions (Rostosky et al, 2018;Kilic et al, 2019). Addressing this gap, our study endeavors to enhance the understanding of snow stratigraphy's impact on passive microwave emission, leveraging more sophisticated radiation transfer models to simulate the effects of two snow layers -fresh snow overlaying a brine-wetted layer -on brightness temperatures (Tbs) over the Southern Ocean.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Influence of Snow over Sea Ice Morphology on L-Band Microwave Satellite Observations in the Southern Ocean

Zhou,

Stroeve,

Nandan

et al. 2024

Preprint

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Abstract. Antarctic snow on sea ice can contain slush, refrozen snow-ice and stratified layers, complicating satellite retrieval processes for snow depth, ice thickness, and sea ice concentration. The introduction of moist and brine-wetted snow alters microwave snow emissions and modifies the energy and mass balance of sea ice. This study assesses the impact of brine-wetted snow and slush layers on L-band surface brightness temperatures (Tbs) by synergizing a snow stratigraphy model (SNOWPACK) driven by atmospheric reanalysis data and a RAdiative transfer model Developed for Ice and Snow in the L-band (RADIS-L) v1.0. The updated RADIS-L v1.1 further introduces parameterisations for brine-wetted and slush snow layers over Antarctic sea ice. Our findings highlight the importance of including both brine-wetted snow and slush layers in order to accurately simulate L-band brightness temperatures, laying the groundwork for improved satellite retrievals of snow depth and ice thickness using satellite sensors such as the Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP). However, biases in modeled and observed L-band brightness temperatures persist, which we attribute to sub-grid scale ice surface variability and snow stratigraphy. Given the scarcity of comprehensive in situ snow and ice data in the Southern Ocean, ramping up observational initiatives in the region is imperative to provide not only satellite validation data sets but also improving process-level understanding that can scale up to improving the precision of satellite snow and ice thickness retrievals.

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Section: Introductionmentioning

confidence: 99%

Quantifying the Influence of Snow over Sea Ice Morphology on L-Band Microwave Satellite Observations in the Southern Ocean

Zhou,

Stroeve,

Nandan

et al. 2024

Preprint

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Modeling the Microwave Emission of Bubbly Ice: Applications to Blue Ice and Superimposed Ice in the Antarctic and Arctic

Dupont

Picard

Royer

et al. 2014

IEEE Trans. Geosci. Remote Sensing

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Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean

Zhou,

Stroeve,

Nandan

et al. 2024

The Cryosphere

View full text Add to dashboard Cite

Abstract. Antarctic snow on sea ice can contain slush, snow ice, and stratified layers, complicating satellite retrieval processes for snow depth, ice thickness, and sea ice concentration. The presence of moist and brine-wetted snow alters microwave snow emissions and modifies the energy and mass balance of sea ice. This study assesses the impact of brine-wetted snow and slush layers on L-band surface brightness temperatures (TBs) by synergizing a snow stratigraphy model (SNOWPACK) driven by atmospheric reanalysis data and the RAdiative transfer model Developed for Ice and Snow in the L-band (RADIS-L) v1.0 The updated RADIS-L v1.1 further introduces parameterizations for brine-wetted snow and slush layers over Antarctic sea ice. Our findings highlight the importance of including both brine-wetted snow and slush layers in order to accurately simulate L-band brightness temperatures, laying the groundwork for improved satellite retrievals of snow depth and ice thickness using satellite sensors such as Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP). However, biases in modelled and observed L-band brightness temperatures persist, which we attribute to small-scale sea ice heterogeneity and snow stratigraphy. Given the scarcity of comprehensive in situ snow and ice data in the Southern Ocean, ramping up observational initiatives is imperative to not only provide satellite validation datasets but also improve process-level understanding that can scale up to improving the precision of satellite snow and ice thickness retrievals.

show abstract

Application of the dense medium radiative transfer theory for calculating microwave emissivities of different sea ice types

Cited by 3 publications

References 15 publications

Quantifying the Influence of Snow over Sea Ice Morphology on L-Band Microwave Satellite Observations in the Southern Ocean

Quantifying the Influence of Snow over Sea Ice Morphology on L-Band Microwave Satellite Observations in the Southern Ocean

Modeling the Microwave Emission of Bubbly Ice: Applications to Blue Ice and Superimposed Ice in the Antarctic and Arctic

Quantifying the influence of snow over sea ice morphology on L-band passive microwave satellite observations in the Southern Ocean

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