CrocoLake

This observation converter reads data from the CrocoLake, which is a database of oceanographic observations developed and maintained in the framework of the NSF-sponsored project CROCODILE (CESM Regional Ocean and Carbon cOnfigurator with Data assimilation and Embedding).

More details about CrocoLake can be found at the Woods Hole Oceanographic Institution Biogeochemical Ocean Observing and Modeling Lab (boom-lab): crocolake-python.

Required Python packages

• dask[dataframe]

• gsw

• numpy

• pandas

To install the required packages (except for standard library modules):

pip install "dask[dataframe]" gsw numpy pandas

Example scripts

Two example Python scripts are provided to demonstrate how to select data from CrocoLake and convert it into DART observation sequence format.

Note

The example scripts assume that you have downloaded CrocoLake. The ‘crocolake_path’ in the scripts should be replaced with your own path to CrocoLake.

To run the example scripts from the command line:

python3 crocolake_to_obsseq_example1.py
python3 crocolake_to_obsseq_example2.py

The arguments for that can be passed to the CrocoLake class ObsSequence are:

crocolake_path (str):  path to desired CrocoLake database
selected_vars (list):  list of variables to be extracted from the database
db_filters (list):     list of db_filters to be applied to the database
fill_na_qc (int):      replace value for NA in QC flags (default: None)
fill_na_error (float): replace value for NA in error variables (default: None)
obs_seq_out (str):     obs_seq file name
loose (bool):          if True, store observation values also when
                       their QC and error are not present (default: False)