The current process design is:
- Convert from pressure to depth
- This process shows some gaps in the data, often small due to
hiccups in data transfer or data logging. During this process, the
time will be converted to epoch time (seconds from January 1, 1970).
The gaps will be filled by interpolation. A byproduct of this stage is
the statitistics of missing data and interpreted data.
- Boxcar Filter with Sampling
- The filter will smooth the raw data, taking out jitter that might be
introduced by wind, waves, and wakes. This dataset is more dense than
is needed to meet the requirements of NOAA, therefore only a fraction
of the filtered data is output. The output has to align with the
times of NOAA data. The results of this stage will be used in two different
production paths: Offsets and Constituents.
A byproduct of this stage is the statistical deviation of the raw
data from the filtered data.
- The two product paths
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- Offsets
- The stages off working offsets are:
- Find peaks
- Find Mean Low Low Water
- Compare peaks to a primary station
- Produce offset and range value for predictions based on the primary station
- Constituents
- Using least-squares determination of constituents (the tappy.py
program). Use the constituents to produce a tide predictor
- Comparison
- The two prediction methods will be compared to new data as it goes through
the first two stages: Conversion and Filtering.
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