a53ad03f-3539-5393-3937-000000059709 Sorbonne University 21 rue de l’École de médecine Paris 75006 France webmaster@sorbonne-universite.fr http://www.sorbonne-universite.fr/en web site 2026-03-27T00:00:00 ISO 19115:2003/19139 1.0 WGS 1984 Interfaces and Ocean Heat Flux derived from SIMBA_2015a and SIMBA_2015f data during N-ICE campaign in winter 2015. 2015-07-15 2019-12-09 2021-12-16 a53ad03f-3539-5393-3937-000000059709 DOI:10.17882/59709 Sennechael Nathalie, Provost Christine (2015). Interfaces and Ocean Heat Flux derived from SIMBA_2015a and SIMBA_2015f data during N-ICE campaign in winter 2015. SEANOE. https://doi.org/10.17882/59709 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 snow/ice interface is derived from the sharp contrast in the diffusivity proxy values between both media. The snow/ice interface does not change except for slush formation associated with flooding events. The air/snow interface is calculated using simultaneous information from the vertical gradient of the temperature and the standard deviation over 24, 48, and 72 h period. Snow accumulation of more than 10 centimeters happened at different time for the 2 SIMBA. The ice/ocean interface is estimated from temperature profiles alone since the winter sea-ice remains colder than the ocean. The ocean just below the ice is at or just above the freezing temperature (estimated from a near surface conductivity-temperature-depth (CTD) sensor see Koenig et al. [2016]). The method detects (1) the first sensor, downward of the snow/ice interface, with a temperature above the ocean freezing temperature and (2) the last sensor in the ice with a temperature below the mean ocean temperature by at least twice the ocean temperature standard deviation in that profile. The ice/ocean interface is then defined as half way between the last sensor in the ice and the first sensor in the ocean. Note it take 3-4 days for the deployment hole to refreeze. Then the ice thickness remains constant up to 20 February when floe1 breaks. Simba_2015f stops working and SIMBA_2015a features basal melt events corresponding to temperature changes in the ocean. The consistency of the 3 interfaces estimate is validated with the thermal diffusivity proxy and the vertical and temporal derivatives of temperature. The ocean heat flux is derived from the latent heat flux which is directly proportional to the change in time of the ice/ocean interface depth and the conductive heat flux in the lower portion of the ice estimated 6 cm above the ice/ocean interface. The ocean heat flux values for SIMBA_2015a and SIMBA2015f range from -50 to 350 W/m2, and -50 to 150 W/m2 respectively, while the basal melt events associated with ocean temperature increase stand out in SIMBA_2015a.   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. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications. SEA scieNtific Open data Edition By address: IFREMER / IDM / SISMER - Scientific Information Systems for the SEA, IFREMER Centre de Bretagne, ZI Pointe du diable CS 10070 PLOUZANE 29280 France data@seanoe.org https://www.seanoe.org/ web site Ifremer, Scientific Information Systems for the sea IFREMER Centre de Bretagne ZI Pointe du diable CS 10070 PLOUZANE 29280 France sismer@ifremer.fr https://data.ifremer.fr/Centre-de-donnees web site Ifremer, Scientific Information Systems for the sea IFREMER Centre de Bretagne ZI Pointe du diable CS 10070 PLOUZANE 29280 France sismer@ifremer.fr https://data.ifremer.fr/Centre-de-donnees web site Oceanographic geographical features GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme Arctic Ocean SeaVoX salt and fresh water body gazetteer 2024-01-15 SeaVoX salt and fresh water body gazetteer Water column temperature and salinity Meteorology Fluxes SeaDataNet Agreed Parameter Groups 2023-07-04 SeaDataNet Agreed Parameter Groups Sea ice remote sensors SeaDataNet device categories 2024-01-16 SeaDataNet device categories SeaVoX Device Catalogue 2024-01-29 SeaVoX Device Catalogue Heat fluxes between the water column and the atmosphere Other meteorological measurements Temperature of the water column SeaDataNet Parameter Discovery Vocabulary 2023-12-12 SeaDataNet Parameter Discovery Vocabulary CRUISE SUMMARY REPORT INVENTORY (CSR) 2023-10-02 research vessel SeaVoX Platform Categories 2024-01-16 SeaVoX Platform Categories ICES Platform Codes 2024-01-16 ICES Platform Codes EUROPEAN DIRECTORY OF MARINE ENVIRONMENTAL RESEARCH PROJECTS (EDMERP) 2020-06-05 Network Common Data Form MEDIN data format categories 2024-01-29 MEDIN data format categories World Register of Marine Species (WORMS) 2024-02-07 SeaDataNet Measurement Periodicity Categories 2024-01-29 SeaDataNet Measurement Periodicity Categories BODC-approved data storage units (Spatial Unit) 2023-10-12 BODC-approved data storage units (Spatial Unit) BODC-approved data storage units (Vertical Unit) 2023-10-12 BODC-approved data storage units (Vertical Unit) no limitations to public access Conditions for access and use apply CC-BY 4.0 Oceans 2015-01-15 2015-03-16 8 24 80 84 https://www.nature.com/articles/s41598-019-45574-5 https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016JC012424 Network Common Data Form 1 https://cloud.emodnet-ingestion.eu/index.php/s/R6uphof3dOdLC8N WWW:DOWNLOAD-1.0-http--download WWW:LINK-1.0-http--link COMMISSION REGULATION (EC) No 1205/2008 of 3 December 2008 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards metadata 2010-12-08 See the referenced specification false Corrigendum to INSPIRE Metadata Regulation published in the Official Journal of the European Union, L 328, page 83 2010-12-08 See the referenced specification false Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 See the referenced specification false Processed data|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 snow/ice interface is derived from the sharp contrast in the diffusivity proxy values between both media. The snow/ice interface does not change except for slush formation associated with flooding events. The air/snow interface is calculated using simultaneous information from the vertical gradient of the temperature and the standard deviation over 24, 48, and 72 h period. Snow accumulation of more than 10 centimeters happened at different time for the 2 SIMBA. The ice/ocean interface is estimated from temperature profiles alone since the winter sea-ice remains colder than the ocean. The ocean just below the ice is at or just above the freezing temperature (estimated from a near surface conductivity-temperature-depth (CTD) sensor see Koenig et al. [2016]). The method detects (1) the first sensor, downward of the snow/ice interface, with a temperature above the ocean freezing temperature and (2) the last sensor in the ice with a temperature below the mean ocean temperature by at least twice the ocean temperature standard deviation in that profile. The ice/ocean interface is then defined as half way between the last sensor in the ice and the first sensor in the ocean. Note it take 3-4 days for the deployment hole to refreeze. Then the ice thickness remains constant up to 20 February when floe1 breaks. Simba_2015f stops working and SIMBA_2015a features basal melt events corresponding to temperature changes in the ocean. The consistency of the 3 interfaces estimate is validated with the thermal diffusivity proxy and the vertical and temporal derivatives of temperature. The ocean heat flux is derived from the latent heat flux which is directly proportional to the change in time of the ice/ocean interface depth and the conductive heat flux in the lower portion of the ice estimated 6 cm above the ice/ocean interface. The ocean heat flux values for SIMBA_2015a and SIMBA2015f range from -50 to 350 W/m2, and -50 to 150 W/m2 respectively, while the basal melt events associated with ocean temperature increase stand out in SIMBA_2015a. 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.