BWC to WWC

This example demonstrates how to convert a binned wind climate (BWC) object to a weibull wind climate (WWC) object using the weibull_fit() function from the WindKit library.

Get Sample Data

First, we fetch some sample data from the Serra Santa Luzia case.

import windkit as wk

ssl = wk.get_tutorial_data("serra_santa_luzia")
bwc = ssl.bwc

print(bwc)

Downloading SerraSantaLuzia.zip from Zenodo...
Downloaded SerraSantaLuzia.zip to /root/.local/share/windkit/tutorial_data/serra_santa_luzia/SerraSantaLuzia.zip
<xarray.Dataset> Size: 4kB
Dimensions:       (point: 1, sector: 12, wsbin: 32)
Coordinates:
    height        (point) float64 8B 25.3
    crs           int8 1B 0
    wsceil        (wsbin) float64 256B 1.0 2.0 3.0 4.0 ... 29.0 30.0 31.0 32.0
    wsfloor       (wsbin) float64 256B 0.0 1.0 2.0 3.0 ... 28.0 29.0 30.0 31.0
    sector_ceil   (sector) float64 96B 15.0 45.0 75.0 ... 285.0 315.0 345.0
    sector_floor  (sector) float64 96B 345.0 15.0 45.0 ... 255.0 285.0 315.0
  * wsbin         (wsbin) float64 256B 0.5 1.5 2.5 3.5 ... 28.5 29.5 30.5 31.5
  * sector        (sector) float64 96B 0.0 30.0 60.0 90.0 ... 270.0 300.0 330.0
    west_east     (point) float64 8B 5.147e+05
    south_north   (point) float64 8B 4.621e+06
Dimensions without coordinates: point
Data variables:
    wdfreq        (sector, point) float64 96B 0.05314 0.03321 ... 0.1148 0.0707
    wsfreq        (wsbin, sector, point) float64 3kB 0.02601 0.04219 ... 0.0 0.0
Attributes:
    Conventions:      CF-1.8
    history:          2025-04-27T14:55:55+00:00:\twindkit==0.8.2.dev22+g4fd01...
    description:      SerraSantaluzia
    Package name:     windkit
    Package version:  0.8.2.dev22+g4fd0143
    Creation date:    2025-04-27T14:55:55+00:00
    Object type:      Binned Wind Climate
    author:           Bjarke Tobias OLsen
    author_email:     btol@dtu.dk
    institution:      DTU Wind Energy

Convert BWC to WWC

Now, we can convert the binned wind climate (BWC) object to a weibull wind climate (WWC) object

wwc = wk.weibull_fit(bwc)
print(wwc)

<xarray.Dataset> Size: 601B
Dimensions:       (sector: 12, point: 1)
Coordinates:
    height        (point) float64 8B 25.3
    crs           int8 1B 0
    sector_ceil   (sector) float64 96B 15.0 45.0 75.0 ... 285.0 315.0 345.0
    sector_floor  (sector) float64 96B 345.0 15.0 45.0 ... 255.0 285.0 315.0
    west_east     (point) float64 8B 5.147e+05
    south_north   (point) float64 8B 4.621e+06
  * sector        (sector) float64 96B 0.0 30.0 60.0 90.0 ... 270.0 300.0 330.0
Dimensions without coordinates: point
Data variables:
    wdfreq        (sector, point) float64 96B 0.05314 0.03321 ... 0.1148 0.0707
    A             (sector, point) float64 96B 5.47 5.346 5.746 ... 7.312 6.022
    k             (sector, point) float64 96B 1.924 2.145 2.594 ... 2.185 1.97
Attributes:
    Conventions:      CF-1.8
    history:          2025-04-27T14:55:55+00:00:\twindkit==0.8.2.dev22+g4fd01...
    description:      SerraSantaluzia
    Package name:     windkit
    Package version:  1.0.2
    Creation date:    2025-07-21T09:49:26+00:00
    Object type:      Weibull Wind Climate
    author:           Default User
    author_email:     default_email@example.com
    institution:      Default Institution