PyHRRRZarr

Python wrapper for downloading met data from HRRRZarr.

Install

# install pixi see https://pixi.sh/latest/#installation
curl -fsSL https://pixi.sh/install.sh | bash
# pull repo and install locally
git clone git@github.com:UW-Madison-DSI/pyhrrrzarr.git
cd pyhrrrzarr
pixi install

Basic Usage

1. Configure local zarr caching by editing example.env and saving as .env
2. run the following script

from datetime import datetime
from pyhrrrzarr.main import fetch_hrrr_data
from pyhrrrzarr.hrrr.schema import HRRRVariable, VariableName, Level
from pyhrrrzarr.schema import Location


variables = [
    HRRRVariable(name=VariableName.TMP, level=Level._2M_ABOVE_GROUND),
    HRRRVariable(name=VariableName.DPT, level=Level._2M_ABOVE_GROUND),
    HRRRVariable(name=VariableName.APCP_1hr_acc_fcst, level=Level._SURFACE, type_model="fcst"),
    HRRRVariable(name=VariableName.RH, level=Level._2M_ABOVE_GROUND),
    HRRRVariable(name=VariableName.UGRD, level=Level._10M_ABOVE_GROUND),
    HRRRVariable(name=VariableName.VGRD, level=Level._10M_ABOVE_GROUND),
]
locations = [
    Location(name="Madison", lat=43.0731, lon=-89.4012),
    Location(name="Seattle", lat=47.6062, lon=-122.3321),
]
start=datetime(2024, 10, 1, 0, 0)
end=datetime(2024, 10, 2, 0, 0)

df = fetch_hrrr_data(variables=variables, locations=locations, start=start, end=end)

for more detail see notebooks/scratch.py