Mamba

2023-11-28T20:10:51Z

MeteOceanWiki:

To install Miniforge - Mamba

su
rm -rf /opt/anaconda3
wget "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
bash Miniforge3-$(uname)-$(uname -m).sh
when installing change the path to: /opt/miniforge3
when asked if you want to add conda init say: YES
restart terminal
su
conda config --set auto_activate_base false
restart terminal
su
conda activate
conda install -c conda-forge mamba
mamba install jupyter jupyter-forward nb_conda_kernels jupyter-server-proxy dask-labextension

Now lets install the environments:

METEOCEAN
mamba env create -f /vhe/nasmetocean/wavewatch/py_libs/meteocean.yml
RUN WITH: /opt/miniforge3/envs/meteocean/bin/python

PANGEO
mamba env create -f /vhe/nasmetocean/wavewatch/py_libs/pangeo.yml
RUN WITH: /opt/miniforge3/envs/pangeo/bin/python

MACHINE LEARNING
mamba env create -f /vhe/nasmetocean/wavewatch/py_libs/machine-learning.yml
RUN WITH: /opt/miniforge3/envs/machine-learning/bin/python
- Check that CUDA is installed:
- nvcc --version
- If it says that nvcc doesn’t exists check under /usr/local/ if you have a cuda folder. If not CUDA is not installed. Follow the following guide.
[1. Introduction — Installation Guide for Linux 12.4 documentation](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html)
- [CUDA Toolkit 12.1 Downloads](https://developer.nvidia.com/cuda-downloads)
- wget https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda_12.4.0_550.54.14_linux.run
- sh cuda_12.4.0_550.54.14_linux.run

mamba activate machine-learning
pip install falkon -f https://falkon.dibris.unige.it/torch-2.2.0_cu121.html

exit su --> wavewatch user
conda activate
if error because conda does not exist /opt/miniforge/bin/conda init
restart terminal
conda config --set auto_activate_base false
mamba init
restart terminal
test everything is working:
conda activate
mamba activate ENV

Install OceanParcels package

su
cd /opt
git clone https://github.com/OceanParcels/parcels.git
cd parcels
mamba env create -f environment.yml
mamba activate parcels
pip install --no-build-isolation --no-deps -e .
RUN WITH: /opt/miniforge3/envs/parcels/bin/python

Set up jupyter-forward environments. For each ENV:

su
conda activate
mamba activate ENV
python -m ipykernel install --name ENV --display-name ENV

Try tunnelling to another workstation:

conda activate
jupyter-forward wavewatch@ned.dicca.unige.it
if jupyter is not found:
go to ned and check /bin/bash -lc "which jupyter"
conda activate
which python
copy the path
open .bashrc
export PATH=/opt/miniforge3/bin/:$PATH

To update environments:

su and add the packages to the corresponding ENV.yml (/vhe/nasmetocean/wavewatch/py_libs/)
su
conda activate
mama activate ENV
mamba env update --file /vhe/nasmetocean/wavewatch/py_libs/ENV.yml --prune

Referenze Lavori Hindcast

2023-11-03T09:04:42Z

MeteOceanWiki:

;ATMOSFERA - HINDCAST AND FORECAST
* Ferrari F, Besio G, Cassola F, Mazzino A. 2020 Optimized wind and wave energy resource assessment and offshore exploitability in the mediterranean sea. Energy, 190:116447. http://dx.doi.org/10.1016/j.energy.2019.116447
* Cassola F, Ferrari F, Mazzino A, Miglietta MM. 2016 The role of the sea on the flash floods events over Liguria (northwestern Italy). Geophys Research Letters, 43(7):3534–42. http://dx.doi.org/10.1002/2016GL068265

<br />
;ONDE - REGULAR GRID - HINDCAST FORECAST
* Cavaleri, L., Barbariol, F., Bertotti, L., Besio, G. & Ferrari, F. 2022 The 29 October 2018 storm in Northern Italy: its multiple actions in the Ligurian Sea. Progress in Oceanography, 201, 102715, https://doi.org/10.1016/j.pocean.2021.102715
* Mentaschi, L., Besio, G., Cassola, F. Mazzino, A. 2015 Performance evaluation of Wavewatch III in the Mediterranean Sea. Ocean Modelling, 90, pp.82-94
* Mentaschi L., Besio G., Cassola F. & Mazzino A., 2013. Problems in RMSE-based wave model validations. Ocean Modelling, 72, pp. 53-58 doi:10.1016/j.ocemod.2013.08.003
* Mentaschi L, Besio G, Cassola F, Mazzino A. 2013 Developing and validating a forecast/hindcast system for the Mediterranean Sea. Journal of Coastal Research, 65 1551–6

<br />
;ONDE - UNSTRUCTURED GRID - HINDCAST AND FORECAST
* Lira-Loarca, A., Caceres-Euse, A., De-Leo, F., Besio, G. 2022 Wave modeling with unstructured mesh for hindcast, forecast and wave hazard applications in the Mediterranean Sea. Applied Ocean Research, 122, p.103118, 10.1016/j.apor.2022.103118

<br />
;ONDE - PROIEZIONI FUTURE
* Lira Loarca, A., Berg, P., Baquerizo, A. and Besio, G., 2023 On the role of wave climate temporal variability in bias correction of GCM-RCM wave simulations. Climate Dynamics, pp.1-28
* Lira Loarca, A. & Besio, G. 2022 Future changes and seasonal variability of the directional wave spectra in the Mediterranean Sea for the 21st century. Environmental Research Letters, 17, 10, 104015, https://doi.org/10.1088/1748-9326/ac8ec4
* Lira-Loarca, A., Ferrari, F., Mazzino, A. and Besio, G., 2021 Future wind and wave energy resources and exploitability in the Mediterranean Sea by 2100. Applied Energy, 302, p.117492
* De Leo, F., Besio, G. & Mentaschi, L. 2020 Trends and variability of ocean waves under RCP8.5 emission scenario in the Mediterranean Sea. Ocean Dynamics, 71, 97–117, https://doi.org/10.1007/s10236-020-01419-8

MeteOceanWiki - Pagine più recenti [it]

Mamba

Referenze Lavori Hindcast