-
Download the source folder from Github: https://github.com/CNES/aviso-fes - unzip it and store in any preferred location.
-
Download the FES2014 Oceanic Tide Heights dataset from the Aviso+ website [accout required].
- From the ftp server download the
fes2014a_loadtide/
(1.3GB) andfes2014b_elevations/
(1.8GB) folders.
- Unzip the folders (twice .xz and .tar) and save both folders (
load_tide
andocean_tide
) in your source folder at the following locationfes-2.9.1-Source\data\fes2014\
. After you completed this step, that folder should look like this, with onlyload_tide
andocean_tide
folders containing 34 .nc files each and the other folders left empty:
- Update the .ini files (
load_tide.ini
andocean_tide.ini
) to include for each tidal component the absolute path to the corresponding .nc file (use find and replace to do this). It should look like this:
-
Open the Anaconda prompt and activate your environment, then run:
conda install pyfes -c fbriol
-
To test if the installation was successful, type
python
and thenimport pyfes