es_sfgtools.seafloor_site_tools.soundspeed_operations module
Functions for processing sound velocity profile (SVP) data from various sources.
- es_sfgtools.seafloor_site_tools.soundspeed_operations.CTD_to_svp_v1(source: str | Path) DataFrame[SoundVelocityDataFrame]
Converts CTD data from a specified source file into a sound velocity profile DataFrame (version 1).
This function reads a CSV file, expecting two columns (depth and speed), and negates the depth values.
- Parameters:
source (str or Path) – The path to the CTD data file.
- Returns:
A DataFrame containing ‘depth’ and ‘speed’ columns.
- Return type:
DataFrame[SoundVelocityDataFrame]
- es_sfgtools.seafloor_site_tools.soundspeed_operations.CTD_to_svp_v2(source: str | Path) DataFrame[SoundVelocityDataFrame]
Converts CTD data from a specified source file into a sound velocity profile DataFrame (version 2).
This function reads a space-separated file, renames columns to ‘depth’ and ‘speed’, negates depth values, and applies a small random adjustment to speed values.
- Parameters:
source (str or Path) – The path to the CTD data file.
- Returns:
A DataFrame containing ‘depth’ and ‘speed’ columns.
- Return type:
DataFrame[SoundVelocityDataFrame]
- es_sfgtools.seafloor_site_tools.soundspeed_operations.interpolate_svp(svp: DataFrame, additional_depth: float = 200.0) DataFrame
Interpolates a sound velocity profile (SVP) DataFrame to ensure coverage down to a specified additional depth.
This function checks the maximum depth in the provided SVP DataFrame and, if necessary, extends the profile by adding interpolated values down to the specified additional depth.
- Parameters:
svp (pd.DataFrame) – A DataFrame containing ‘depth’ and ‘speed’ columns.
additional_depth (float, default 200.0) – The additional depth (in meters) to extend the SVP profile.
- Returns:
A DataFrame with the interpolated SVP data.
- Return type:
pd.DataFrame
- es_sfgtools.seafloor_site_tools.soundspeed_operations.seabird_to_soundvelocity(source: str | Path) DataFrame[SoundVelocityDataFrame]
Reads sound velocity profile data from a Seabird-formatted file.
The function expects a file where data starts after a line containing “END”. It extracts depth and speed values to create a SoundVelocityDataFrame.
- Parameters:
source (str or Path) – The path to the Seabird data file.
- Returns:
A DataFrame containing ‘depth’ and ‘speed’ columns.
- Return type:
DataFrame[SoundVelocityDataFrame]
- Raises:
FileNotFoundError – If the source file does not exist.
ValueError – If no data is found in the file after the “END” marker.