Data Assimilation and Machine Learning integration framework
This project assumes that the below dependencies have already been built.
On HPC, just load the GDASApp modules
Just build your favorite jedi-bundle. This project makes use of oops, ufo, ioda, vader, saber, soca, atlas, eckit, ...
Cloning and building pytorch
git clone --recursive --branch v2.1.1 https://github.com/pytorch/pytorch
cd pytorch
mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX=<path to install> ..
make -j<n>
make install
Coming soon ...
Estimate the unblanced part of the background error for sea surface height. Naive implementation that demonstrates the use of the JEDI and Torch libraries.
For now, you will have to specify the root instalation of the JEDI repositories and Torch:
mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX=../install \
-DTorch_ROOT=<path to pytorch install> \
-Doops_ROOT=<path to oops install> \
-Datlas_ROOT=<path to atlas install> \
..
make -j<n>
make install