weathergen 2.0.7

Generates weather

weathergen simulates a time-varying vertical profile of weather parameters.

Usage

After importing the package, simply pass a site and an array of times to the `generate` function. To simulate weather for the Chajnantor Plateau between June 1st and September 1st at a resolution of a minute, for example, we would write

import numpy as np
from datetime import datetime
import weathergen

t0 = datetime(2022,6,1).timestamp()
t1 = datetime(2022,9,1).timestamp()

gen_times = np.arange(t0, t1, 600)

weather = weathergen.generate(site='chajnantor', time=gen_times)

Note that the supplied year is arbitrary; the underlying model considers only annual and diurnal climatological variations. The supported sites are listed below, and are also stored in weathergen.sites. Specified times should be supplied in Unix time.

The weather parameters are contained in the attributes of the weather object, e.g. weather.air_temp or weather.pressure. The values are typically two-dimensional with shape (n_times, n_heights), where weather.time and weather.height describe the time and height of each dimension, in Unix time and meters above sea level. Some parameters like weather.pwv and weather.cloud_cover are described by a single number for each time and do not have a layer dimension.

Methodology

See paper.

Sites

Supported sites are shown below. Sites are chosen for the presence of astronomical observatories, or because I think that they’re climatologically interesting.