Winter snow and sea ice thermal conductivity, density, and conductive heat flux profiles from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, central Arctic, October 2019 - March 2020 ...
This dataset includes derived snow and sea ice properties from various ice mass balance instruments deployed during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition drifting with the central Arctic sea ice pack from fall 2019 through fall 2020. Variables...
| Main Authors: | , , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
NSF Arctic Data Center
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.18739/a2cf9j80p https://arcticdata.io/catalog/view/doi:10.18739/A2CF9J80P |
| Summary: | This dataset includes derived snow and sea ice properties from various ice mass balance instruments deployed during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition drifting with the central Arctic sea ice pack from fall 2019 through fall 2020. Variables include profiles of thermal conductivity, density, and conductive heat flux through sea ice and snow. Thermal conductivity and density are derived by inverting the one-dimensional heat equation using temperature profiles from three seasonal ice mass balance (SIMB3) buoys and ten Snow and Ice Mass Balance Arrays (SIMBA), collectively referred to as IMBs. Thermal conductivity is combined with temperature profiles to calculate conductive heat flux. This dataset contains one file per instrument for the full period of its operation. All files contain a quality control flag that includes some automatic filters that identify when thermal conductivity estimates are outside the range of 0-3 W m-1 K-1 (watts per meter ... |
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