Uncertainty Quantification for Estimates of Extreme Isolines of Bivariate Distributions

Project to explore estimation and uncertainty quantification of extreme isolines of bivariate distributions, with application to bivariate climate events.

How to..

Clone this Repository

1. Run git clone https://github.com/jbbutler/isolines_uq.git in desired directory

Install Conda Environment and Expose to JupyterHub

1. If at NERSC, run module load conda
2. In the project home directory, run conda env create -f environment.yml
3. Activate the environment with conda activate isolinesR
4. Start an R session with R
5. Run the following commands line-by-line (source):

> ename <- Sys.getenv('CONDA_DEFAULT_ENV')
> dname <- trimws(paste("R", getRversion(), Sys.getenv("CONDA_PROMPT_MODIFIER")))
> IRkernel::installspec(name=ename, displayname=dname)
> quit()

You should now see this environment as available to use in a Jupyter notebook.

Run Tutorial Notebook

1. Navigate to /isolines_uq/notebooks/tutorials/tube_construction.ipynb. Open the notebook.
2. Make sure the notebook is running the R 4.2.3 (isolinesR) kernel (upper righthand corner of notebook). If not, go to Kernel > Change Kernel and find it in the dropdown.