Ice Buoy Times Series Plots
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Revision History
- 20121003: Initial Release
Parameters
Note:
Raw Data
When this option is selected, raw data will be supplied in the data products: no action is taken to modify the data. In general, all scalar data is associated with a quality control flag. These flags are stored adjacent to the data values.
Clean Data
Selecting this option will cause any data values with quality control failures (QAQC flags 3, 4 and 6) to be replaced with NaNs. If the do not fill data gaps option is selected, data values with quality control failures will be removed. For all data products, when resampling with the clean option, any data with quality control failures are removed prior to the resampling (this rule applies to all resampling types: average, min/max, etc).
This is the default option for all data products.
Formats
This data is available as a PNG image or PDF file.
Description
Instruments deployed on profiling platforms, such as the Vertical Profiler System (VPS), produce time series scalar data that may be plotted against time and water depth in a contour plot. This facilitates visualization of water property changes over time, such as salinity or temperature. Below is an example plot from our testing environment with a limited time range.
The time series plots are separated by sensor type, producing three plots for temperature, heating cycle 1 and heating cycle 2 data. Nan data values appear as white, with time stamps with only Nan values being removed. The sensor elevation is set with zero being ice level at the time the sensors are deployed. The temperature data has a sampling rate of 6 hours and each heating cycle has a sampling rate of 24 hours.
Here is an example pdf: CambridgeBay_SafePassageBuoy_IceBuoy_20160227T000000Z_20160430T235959Z-Heat1-736413.6288.pdf. Note that the naming convention goes as '-(data type)-(Time that the first set of data)' in the MODE field, see dp home.
Note: The data show is test data.
The plots break after one year of data from the start of the data requested or when the sensors are redeployed. To archive the best results with this data product, select at a minimum of 10 days.
The example plot shown above, and the PDF example, both exhibit extrapolation, as the time range is too short to contain enough VPS profiles through the water column to fill out the plot. Ideally, profile plots should contain at least 12 VPS profiles or casts through the water column spaced regularly over the time range plotted. When the VPS is operating normally, it runs on a schedule with at least 3 profiles/casts per day. The more profiles in the plot, the smoother and more accurate it will be.
Discussion
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