Calculate physical indices for a timeseries.
Functions for simplifying the calculation of physical indices for a
timeseries of observation data. Can usually be called directly on data
loaded directly using load.ts and load.bathy.
These are wrapper functions that accept a timeseries of data and call the
core physical metric functions (like schmidt.stability) on
each timestep.
ts.lake.number(wtr, wnd, wnd.height, bathy, seasonal = TRUE)
wtr |
A data frame of water temperatures (in Celsius). Loaded using
|
wnd |
A data frame of wind speeds (in m/s). Loaded using
|
wnd.height |
Height of the anemometer above the lake surface in meters |
bathy |
A data frame containing hypsometric data. Loaded using
|
seasonal |
Boolean indicating if seasonal thermocline should be used in calculation. |
Returns a data frame with the timeseries of calculated derivatives. All include a ‘datetime’ column, but derivative columns differ between functions.
For loading input data load.ts,
load.bathy.
For the underlying functions operating at each timestep
meta.depths, thermo.depth,
schmidt.stability, lake.number,
internal.energy.
Other Timeseries functions for r Lake Analyzer: ts.internal.energy,
ts.meta.depths,
ts.schmidt.stability,
ts.thermo.depth, ts.uStar
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