MLML shore station processing

Tom Connolly and Jason Adelaars, Moss Landing Marine Labs

Contact: [email protected]

Data processing for CeNCOOS shore stations operated by Moss Landing Marine Labs.

This software takes original text files as input, adds metadata, and creates CF-compliant NetCDF files. Quality control flags are automatically applied where necessary, and additional questionable data are flagged manually.

Data access

TBD

Shore station information

Moss Landing Marine Labs Seawater Intake

• https://www.cencoos.org/data/shore/mosslanding
• http://pubdata.mlml.calstate.edu/seawater

Monterey Municipal Wharf 2

• https://www.cencoos.org/data/shore/monterey

Software requirements

• pandas https://pandas.pydata.org
• xarray http://xarray.pydata.org

Running the software

1. Edit mlml_data_path.py to specify the paths to input and output file directories.

The default directory structure (located in top-level directory ~/work/Data/ by default) is:

MLML_shore_stations/
  monterey_wharf/
    csv/          
    netcdf/       
  moss_landing/
    csv/          
    netcdf/       

Input files are located in csv directories. Output files are create in netcdf directories.

2. To process Monterey Wharf data, run process_monterey_wharf.py. This requires the input data file WharfData_all.csv

3. To process Moss Landing seawater intake data, run process_mlml_data.py. This file can be edited to automatically download the csv files from the MLML public data server at http://pubdata.mlml.calstate.edu/seawater