Exploring meteorology data for use in hydrologic modeling of the Skagit River basin

This repo relies on conda environments - I recommend miniforge. I also fast explored/protoyped herbie and other hrrr data in jupyter/ipython notebooks.

My setup installs jupyter in my base conda environment, then runs notebooks in the sub-envirionment kernels. You can do the same with:

conda install jupyterlab
conda install nb_conda_kernels

From there run, jupyterlab in your base environment, and you should see the skagit-met kernel as an option

1. I assume you have conda, and all its dependencies installed, and a base conda environment going

2. I assume you are using bash, but if you're using zsh or another shell, this will run better if you modify setup.sh to use the environment on line 7 of setup.sh

3. Clone this repo

4. In the root of the repo, run ./setup.sh - this creates the conda environment, installs whats needed, etc.

5. Enter the environment using conda activate skagit-met

6. If you're done, don't forget to conda deactivate.

• https://rapidrefresh.noaa.gov/Diag-vars-NOAA-TechMemo.pdf
• https://rapidrefresh.noaa.gov/hrrr/HRRR/Welcome.cgi?dsKey=hrrr_ncep_jet
• https://www.nco.ncep.noaa.gov/pmb/products/hrrr/hrrr.t00z.wrfsfcf00.grib2.shtml
• https://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html
• https://www.nco.ncep.noaa.gov/pmb/docs/grib2/grib2_doc/grib2_table4-2.shtml