This data product is specialized for the SRSL Ice Mass Balance Buoy (SIMBA). SIMBA is simply a chain of temperature sensors (thermistors), string from a pole above and through and below the ice. There are normally 240 sensors spaced every 2 cm, and some may lay flat along the ice. The positioning of the sensors is documented in the device attributes for each deployment and device. The sensor elevation as plotted is normally set with zero being ice level at the time the sensors are deployed, however, ice can be generated on top of the sensors with melt and re-freeze events. By observing the temperature gradients, one can detect the ice and snow thickness, which we have automated as derived scalar sensors. The same physical 240 temperature sensors are also used in heating experiments where a small current is applied to heat the environment and observe the temperature change. In Oceans 3.0, the heating cycles (1 & 2) get their own sensors, so in all, this type of device has over 720 sensors. Currently, the temperature data has a sampling rate of 6 hours and each heating cycle has a sampling rate of 24 hours; this may change in other deployments. Here is a good paper for reference: http://dx.doi.org/10.3402/tellusa.v66.21564.
Oceans 3.0 API filter: dataProductCode=IBTSPP
This data is available as a PNG or PDF.
Oceans 3.0 API filter: extension={png,pdf}
The temperature, heating cycle 1 and heating cycle 2 data are plotting in separate plots for the ice buoy time series profile plots. These plots show the temperature as a heat map by elevation and time. These plots are best suited for visualizing long time ranges, complimenting the short time ranges usable with the Ice Buoy Profile Plots. We recommend minimum 30 days for these plots. For shorter time ranges less than 7 days or 4 days of complete data, the plots will switch from an image to a waterfall to provide more detail in individual profiles. See examples below (click to enlarge.) Please note that these example are from incomplete test data and shorter than normal time ranges.
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