AgERA5 Climatic Regions Embeddings
Project description
AgERA5 Climatic Regions Embeddings
Introduction
Climatic regions embeddings V1 are 6 global rasters variables describing the global meteoreological conditions for the years 2018-2023. They are obtained by aggregating AgERA5 variables across single years and then reducing and normalizing the aggregated varibles to a set of 6 variables.
NOTE: 2023 needs to be recomputed. It is currently a copy of 2022.
Usage
Load for a lat lon point:
from climatic_regions import load_meteo_point
vals = load_meteo_point(lon, lat, year)
Load resampled array from bounds:
from climatic_regions import load_meteo_embeddings
arr = load_meteo_embeddings(bounds, epsg, year, resolution=10)
Covert lat, lon to x, y, z:
from climatic_regions import lat_lon_to_unit_sphere, load_xyz
x, y, z = lat_lon_to_unit_sphere(lat, lon)
xyz_arr = load_xyz(bounds, epsg, resolution=10)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file climatic_regions-0.0.4-py3-none-any.whl.
File metadata
- Download URL: climatic_regions-0.0.4-py3-none-any.whl
- Upload date:
- Size: 37.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b48cac140060ec7105bf5bb653be9e80c616841f6523f1a66ec1fb68eabe5ce6
|
|
| MD5 |
5ce333725d42c24526a7724fb03c4e49
|
|
| BLAKE2b-256 |
0bff65e98bc3a55470906f45bf43b95f0d5af49f150e19fadc4b5e0e22bfddcf
|