Interfaces and Ocean Heat Flux derived from SIMBA_2015a and SIMBA_2015f data during N-ICE campaign in winter 2015.
|Temporal extent||2015-01-15 -2015-03-16|
|Author(s)||Sennechael Nathalie1, Provost Christine1|
|Affiliation(s)||1 : Laboratoire LOCEAN-IPSL Sorbonne Université (UPMC, Univ. Paris 6)-CNRS-IRD-MNHN, Paris, France|
|Keyword(s)||sea ice, snow, ice growth, basal melt, flooding, snow-ice, mass balance|
We defined the interfaces between the air/snow, snow/ice, and ice/ocean and calculated the ocean heat flux for two SIMBA recordings (SIMBA2015a and SIMBA_2015f) of repeated temperature profiles at 6h interval and 2cm vertical resolution, during N-ICE 2015 experiment floe1.
The consistency of the 3 interfaces estimate is validated with the thermal diffusivity proxy and the vertical and temporal derivatives of temperature.
The SIMBA data are available through the Norwegian Polar Institute’s data center (https://data.npolar.no/dataset/6ed9a8ca-95b0-43be-bedf-8176bf56da80) and the method of interface detection is thoroughly described in Provost et al. (2017). Note that all time series have been smoothed with a 36-h running mean.
Provost, C., N. Sennechael, J. Miguet, P. Itkin, A. Rosel, Z. Koenig, N. Villacieros-Robineau, and M. A. Granskog (2017), Observations of flooding and snow-ice formation in a thinner Arctic sea-ice regime during the N-ICE2015 campaign: Influence of basal ice melt and storms, J. Geophys. Res. Oceans, 122, 7115–7134, doi:10.1002/2016JC012011.
|Acknowledgements||Equipment and participation to the N-ICE2015 Ice camp (organized by the Norsk Polar Institute, Norway on board R.V. Lance, Granskog et al., 2017) were funded under EQUIPEX IAOOS (Ice Atmosphere Ocean Observing System) (ANR-10-EQPX-32-01).|
Both ice instruments (SIMBA_2015a and SIMBA_2015f) are SIMBAs (SAMS Ice Mass Balance for the Arctic). A SIMBA comprises a GPS and a 5 m long chain cable hanging through air, snow, sea-ice and ocean. The chain comprises solid-state sensors located every 2 cm measuring temperature at approximately 0.18°C accuracy (resolution 1/16°C). The SIMBA also features a heating mode which can be used to discriminate between different media, especially between snow and ice [Jackson et al., 2013].