ANHALIZE is an analysis tool for the ANHA configuration of the NEMO model.

ANHALIZE is an analysis tool for the Arctic and Northern Hemisphere Atlantic (ANHA) configuration of the NEMO model. The focus is on data manipulation, analysis, and visualization.

This tool has been originally developed to support ocean modeling research at the Centre for Earth Observation Science (CEOS), at the University of Manitoba.

NOTE: This code is stable, but new features are currently under development.

Clone this GitHub repo:

git clone https://github.com/PORTAL-CEOS/ANHALYZE.git

Install the dependencies in your environment with:

cd ANHALYZE/
python -m pip install -r requirements.txt

Then install the package with:

python -m pip install .

Future Note: This will become a PyPI application.

Once installed you can import library:

import anhalyze as ah
aa = ah.AnhaDataset(filename)
aaa = aa.sel(lat_range=[50,65],lon_range=[-93,-75])

This simple example requires a .nc grid file, and a .nc mask file.

import anhalyze as ah

# Open file
aa = ah.AnhaDataset(filename)

# Apply mask file
aa.apply_mask(mask_filename)

# Do selection of lat_range, lon_range, and depth_range, in that order.
aaa = aa.sel([50,65],[-93,-75],[0,300])

# Plot region for a selected variable.
aaa.show_var_data_map(var='votemper')

• 0.7 (upcoming)
  • To release AnhalyzeLocation class.
• 0.6 (upcoming)
  • To release AnhalyzeProject class.
• 0.5 (upcoming)
  • First release, includes:
    • AnhaDataset class
    • Basic selection and plotting functionality.
  • See commit change or See release history
• 0.0.1
  • Current version in Beta.

This is a placeholder.

-------------------- Deprecated below this line. --------------------

Need to add the following environmental variables to your .bash_profile (or .bashrc, etc..), and edith paths to your needs:

#------------------------------------------------------------- 
#ANHALIZE setup
#-------------------------------------------------------------
export MASK_PATH='/root_path/user/ANALYSES/MASKS/'
export DATA_PATH='/root_path/user/NEMO/ANHA4/ANHA4-Wxx000-S/'
#-------------------------------------------------------------