Considerations on the Collection of Data from Bio-Argo Floats across Sampling Scales
The flexibility of the current generation of float sensor packages provides an opportunity to craft mission specific sampling schemes that balance the collection of data for specific sampling goals with the practicalities of float operation.
Autonomous floats operate within constraints of battery life and data transfer rates. For simplicity of data transfer and handling, most float data sets are transmitted after binning on pressure. Within a given pressure bin different instruments will be sampling within a particular defined sequence. A sampling sequence should be balanced towards minimizing energy consumption while maximizing data accuracy of each instrument. As the number of sensors increases and the breadth of mission parameters expands it becomes more difficult to optimize data sequencing and reporting. We consider methods to reduce the size of the problem by setting rules for sequence development and test those rules relative to field data. We examine a set of data from a float that was equipped with internal memory that captured the full set of sample data taken during the profiling mission. Comparing the ‘raw’ data and the transmitted data we examine the variance around the transmitted data and discuss the impact of data sequencing on the data.