Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

feat(wind): Bias correct wind speeds based on scaling to a known average #403

Draft
wants to merge 1 commit into
base: master
Choose a base branch
from
Draft

feat(wind): Bias correct wind speeds based on scaling to a known average #403

wants to merge 1 commit into from

Commits on Nov 1, 2024

  1. feat(wind): Bias correct wind speeds based on scaling to a known average 

    The ERA5 long run average is determined during cutout preparation by averaging
the monthly mean wind speeds from 1980 to the last year and made available as
a dataset variable wnd100m_lra.

Example usage:

cutout.wind(
    atlite.windturbines.Enercon_E101_3000kW,
    real_long_run_average_windspeed="gwa3_250_windspeed_100m.tif",
)
    Jonas Hoersch committed Nov 1, 2024
    Configuration menu
    Copy the full SHA
    bdf5249 View commit details
    Browse the repository at this point in the history