Scenario: ASCII Data from a Variety of Instruments (FIT Lagoon Study)
CASE STUDY UNDER CONSTRUCTION
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This case study describes an experiment that gathered data from
a atmospheric and submerged sensors, collected in ASCII format.
This case study describes a component of an ongoing National
Oceanic and Atmospheric Administration (NOAA) project
titled: An Ensemble-Based Approach to Forecasting Surf,
Set-Up, and Surge in the Coastal Zone. The project studied
the interactions between the atmosphere and a local estuary.
The research team from the Florida Institute of Technology
(FIT) is interested in high impact wind events on coastal
estuaries, specifically the Indian River Lagoon (IRL) in
Southeastern Florida. This project was funded by NOAA's
FIT Primary Investigator Steve Lazarus, research
personnel Mike Splitt and graduate student Peyman Taebb
among other students and faculty began working on this
project on July 1st 2014 and are funded through June 2017.
They set up three water level gauges on piers in the lagoon.
Each water level gauge was a Titanium water level gauge
(HOBO U20 Water Level/Logger) and were purchased in late
summer 2014. Resolution of the gauge is less than 0.02 kPa
and had a time response less than 1 second between data
collection and recording. Water level error is on the order
of 0.5 cm. The gauges are housed in PVC stilling wells that
were built in-house at FIT.
Each submerged water level gauge records changes in the pressure (weight) of the
water column above it. After adjusting for fluctuations in atmospheric pressure (using
pressure data from a nearby ASOS surface station), water level anomalies were
calculated at the nominal measurement frequency of five minutes. This was done by
subtracting the time fluctuating water column height from a 3-month temporal mean. A
time stamp along with the water level anomaly (and temperature) were manually
downloaded using a data shuttle every three months so as to avoid overwriting the
logged data. Data were saved in an ASCII file format.
Tools Used for Data Processing and Analysis
The ASCII data files were brought back to FIT, exported from
the shuttle, and subsequently imported into a spreadsheet on
a local computer. As previously mentioned, some data
post-processing was necessary in order to correct for
variations in the atmospheric pressure in the water level
anomalies. This correction procedure was originally
performed within the the excel spreadsheets, but an
algorithm was later written using R code.
Data Storage Strategy and Tools Used
The data from the water gauges are stored on local FIT
computers in spreadsheets, with each spreadsheet containing
the water level anomalies from a single site.
Data Access Strategy and Tools Used
Majority of internal data sharing is done by emailing the
individual spreadsheets to individuals on the research team
or by accessing it on FIT's internal cloud server.
In addition the data is being shared to a local FIT based
entity called the Indian River Lagoon Institute. Interested
parties outside the research team or the Indian River Lagoon
Institute may access the cloud server if the link is shared
Data Archiving Stragegy and Tools Used
To increase the ease of access to a wider range
of audience, Dr. Lazarus has also considered storing his
final data set in the Southeast Coastal Ocean Observing
Regional Association (SECOORA) data portal.