Sea ice thickness in the Weddell Sea from SSM/I passive microwave radiometer data
We estimate the sea ice thickness for the Weddell Sea during autumn and austral winter using passive microwave SSM/I (Special Sensor Microwave Imager) data. First, we mapped pixels with a sea ice concentration above 90% from fraction images calculated from the spectral linear mixing model using the...
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| Format: | Dataset |
| Language: | unknown |
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Harvard Dataverse
2021
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| Online Access: | https://dx.doi.org/10.7910/dvn/qa8xd3 https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/QA8XD3 |
| Summary: | We estimate the sea ice thickness for the Weddell Sea during autumn and austral winter using passive microwave SSM/I (Special Sensor Microwave Imager) data. First, we mapped pixels with a sea ice concentration above 90% from fraction images calculated from the spectral linear mixing model using the brightness temperature in the channels and polarizations 19H, 19V, and 37V. Multiple linear regression was performed from 37V, 85V, and GR3719 data (Gradient Ratio 37V and 19V) using sea ice thickness local observations produced by the Antarctic Sea Ice Processes and Climate (ASPeCt) program. We compared our model validation with Cloud, and Land Elevation Satellite 1 (ICESat-1) satellite data. We were considering p < 0.05, the regression model shows an R² = 0.62 limited to sea ice up to 1.5 m thick and, in the validation, we identified a bias between the ICESat-1 (samples with a thickness < 1.5 m) and the SSM/I ranging between 0.02 m to 0.19 m and Root Mean Square Deviation ranging from 0.13 m to 0.46 m. |
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