Welcome to dnora version 2!

To install the latest version of dnora with pip:

$ pip install dnora 

The tool is also compatible with WEkEO Jupyter Lab, allowing seamless integration and use. For instructions on how to install dnora in WEkEO, please refer here.

$ git clone https://github.com/MET-OM/dnora.git
$ cd dnora/
$ conda config --add channels conda-forge
$ conda env create -f environment.yml
$ conda activate dnora2
$ pip install .

The latest version of the old 👴 'v1' dnora is 1.4.3, and can be installed with:

$ pip install dnora==1.4.3 

You can find the code of the origin dnora v1 in the branch 'v1' on GitHub. Please not that it is no longer mainained.

dnora is a software for dynamical downscaling of wave products i.e., NORA3 wave hindcast and WW3 wave forecast from Norwegian Meteorological Institute and ERA5 from ECMWF.

Please documentation for dnora is still ongoing, but can be found at:

Old examples for dnora-v1 on youtube

Several examples/scripts to help you start with dnora can be found at dnora_tutorials

Example of downscaling NORA3 using dnora/SWAN offshore Tromsø, Norway:

Example of long-crested wave propagation at Stad, Norway, using dnora/SWASH:

dnora contains the code of the function read_sms_mesh from the PyFVCOM package (distributed under the MIT License). The original code can be found at https://github.com/pwcazenave/pyfvcom