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)
Metadata
Release files for climatic-regions 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| climatic_regions-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Release files / climatic_regions-0.0.4-py3-none-any.whl
| Download URL | climatic_regions-0.0.4-py3-none-any.whl |
|---|---|
| Size | 37.6 MB |
| Tags | Python 3 |
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