A super-fast Python package to obtain meteorological parameters for your flight trajectories.
pip install fastmeteo
pip install git+https://github.com/junzis/fastmeteo
or, if you prefer poetry:
git clone https://github.com/junzis/fastmeteo
cd fastmeteo
poetry install
You can get the weather information for a given flight or position with the following code. Basic information on time, latitude, longitude, and altitude is needed.
import pandas as pd
from fastmeteo import Grid
flight = pd.DataFrame(
{
"timestamp": ["2021-10-12T01:10:00", "2021-10-12T01:20:00"],
"latitude": [40.3, 42.5],
"longitude": [4.2, 6.6],
"altitude": [25_000, 30_000],
}
)
# Define the location for the local store and specify the meteorological features you're interested in
features = [
"u_component_of_wind",
"v_component_of_wind",
"temperature",
"specific_humidity",
# You can add or remove features as needed
]
# If `features` is not specified in Grid, default features will be used.
fmg = Grid(local_store="/tmp/era5-zarr", features=features)
# Obtain weather information.
flight_new = fmg.interpolate(flight)When running the tool in a server-client mode. The following script can be used to start a FastAPI service on the server. It handles the flight date request and obtains Google ARCO data if the partition is not on the server. After that, it will perform the interpolation of weather data and return the final data to the client.
fastmeteo-serve --local-store /tmp/era5-zarr
At the client side, the following code can be used to submit and get the process flight with meteorology data.
import pandas as pd
from fastmeteo import Client
flight = pd.DataFrame(
{
"timestamp": ["2021-10-12T01:10:00", "2021-10-12T01:20:00"],
"latitude": [40.3, 42.5],
"longitude": [4.2, 6.6],
"altitude": [25_000, 30_000],
}
)
# define the client object
client = Client()
# send the flight and receive the new DataFrame
flight_new = client.submit_flight(flight)
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