pvtend.data.load_idealized_pv

pvtend.data.load_idealized_pv() → Dict[str, ndarray][source]

Load the idealized Gaussian PV evolution sample data.

The dataset contains two PV snapshots (q0, q1) on a 101×121 idealized f-plane grid with 60 km spacing and a 1-hour time-step.

The PV anomaly undergoes simultaneous:

  • Zonal propagation (αx = 10 m/s eastward)

  • Meridional propagation (αy = 5 m/s northward)

  • Intensification (β = 2×10⁻⁶ s⁻¹)

  • Deformation (γ_q = 0.08 quadrupole)

Returns:

  • q0: PV at t=0 (101, 121) [PVU]

  • q1: PV at t=1 (101, 121) [PVU]

  • x_km, y_km: coordinate vectors in km

  • x_deg, y_deg: coordinate vectors in degrees

  • dx_arr: zonal grid spacing per latitude row [m]

  • dx_m, dy_m: scalar grid spacings [m]

  • dt: time-step [s]

  • grid_spacing_deg: grid spacing in degrees

Return type:

Dict with keys

Example

>>> from pvtend.data import load_idealized_pv
>>> d = load_idealized_pv()
>>> d['q0'].shape
(101, 121)