User Guide#
Welcome to the Earth2Studio user guide. This guide provides a verbose documentation of the package and the underlying design. If you want to skip to running code, have a look at the examples instead and come back here when you have questions.
In this user guide, we’ll delve into the intricacies of Earth2Studio, exploring its fundamental components, features, and the ways in which it can be extended and customized to suit specific research or production needs. Whether you’re a seasoned expert or just beginning your journey in the realm of AI-driven weather and climate analysis, this guide aims to equip you with the knowledge and resources necessary to leverage the full potential of Earth2Studio.
Quick Start#
Install Earth2Studio:
pip install earth2studio
Run a deterministic weather prediction in just a few lines of code:
from earth2studio.models.px import DLWP
from earth2studio.data import GFS
from earth2studio.io import NetCDF4Backend
from earth2studio.run import deterministic as run
model = DLWP.load_model(DLWP.load_default_package())
ds = GFS()
io = NetCDF4Backend("output.nc")
run(["2024-01-01"], 10, model, ds, io)