Field data on sea ice restoration by artificial flooding

Journal Article (2024)
Author(s)

T.C. Hammer (TU Delft - Offshore Engineering)

Aleksey Shestov (The University Centre in Svalbard)

L.L. van Dijke (TU Delft - Hydraulic Engineering)

Fonger Ypma (Arctic Reflections)

Tom Meijeraan (Arctic Reflections)

H. Hendrikse (TU Delft - Offshore Engineering)

Research Group
Offshore Engineering
DOI related publication
https://doi.org/10.1016/j.dib.2024.111117
More Info
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Publication Year
2024
Language
English
Research Group
Offshore Engineering
Volume number
57
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Abstract

A field campaign in the Vallunden lagoon in the Van Mijenfjorden on Spitsbergen was conducted to gather data on sea ice restoration by artificial flooding. Sea ice thickening was initiated by pumping sea water from below the first-year sea ice onto the surface without removing the covering snow layer. Part of the data was collected by four thermistor strings, two radiation sensors, and one anemometer. All measurement systems were left in the field until recovery of the floating systems in summer. Data provided by the measurement devices were received remotely to gather data before, during, and after the flooding phase (including the melting for as long as the sensors were sending data). Furthermore, coring systems were used to extract 88 ice cores for analysis of temperature, density and bulk salinity profiles along the full length of the ice cores before, during and within four days after flooding. The data set can be used to investigate physical processes involved in the ice growth before, during and after flooding. The data can be used to understand the development, growth and melting of snow ice. The radiation data can be used to analyze the (reflected) radiation of the initial, flooded and melting ice. Data gathered during the melting can be used to investigate the melting of thickened sea ice with different initial conditions prior to the onset of melting. Data on bulk salinity can be used to investigate short-term salt migration. Combing the different insights, growth- and melting models of sea ice including snow and snow ice can be validated. The understanding of melt-water drainage events could be improved and flow models for simulation of artificial flooding of snow-covered first-year sea ice could be further developed using the data.