windmap

• Wind Interpolation Methods

See Wind Interpolation Methods for the three methods EarthSHAB uses to interpolate wind from discrete forecast pressure levels to the balloon’s continuous altitude, how to pick between them, and side-by-side hodographs showing how each one behaves.

This is file generates a 3d windrose plot for a particular coordinate and timestamp. The polar plot displays information on wind speed and direction at various altitudes in a visual format

class windmap.Windmap

__init__()

plotWind2(hour_index, lat, lon, num_interpolations=100, interpolation='linear')

Plots a 3D windrose by interpolating wind speed and direction between pressure levels.

Parameters:

• hour_index (int) – Time index from forecast file

• lat (float) – Latitude coordinate [deg]

• lon (float) – Longitude coordinate [deg]

• num_interpolations (int) – Points to interpolate between adjacent pressure levels (linear) or total sample points across the full altitude range (spline)

• interpolation (str) – 'linear' interpolates speed and direction between adjacent pressure levels with angle-wrap correction (default); 'spline' fits a CubicSpline across all pressure levels for smoother, continuous curves

Returns:

3D windrose plot

Return type:

matplotlib.plot

plotWindMethod(hour_index, lat, lon, method='linear_full', alt_step=100.0, ax=None, vmin=None, vmax=None, alt_max=None, show_title=True)

3D polar windrose for a single production interpolation method.

Same visual conventions as plotWind2() (polar projection, radius = altitude, angle = bearing, color = wind speed), but the wind profile is interpolated using the named production method from config_earth.forecast['wind_interpolation'] instead of the ad-hoc visualization-only schemes in plotWind2. This makes the panel a faithful picture of what the simulator actually sees with that method.

Parameters:

• method (str) – 'linear_neighbors', 'linear_full', or 'spline_full'

• alt_step (float) – Altitude sample spacing [m] for the dense query grid

• ax – Optional pre-existing polar matplotlib Axes

• vmin – Color-scale lower bound for wind speed [m/s] (shared bounds across panels)

• vmax – Color-scale upper bound for wind speed [m/s]

• alt_max – Outer radial limit [m] (shared across panels)

Returns:

(Figure, PathCollection) — the scatter handle lets the caller attach a colorbar

plotWindMethodsComparison(hour_index, lat, lon, alt_step=100.0)

Three side-by-side polar windrose panels — one per production interpolation method — with shared color and radial scales.

time_in_range(start, end, x)

Return true if x is in the range [start, end]

windVectorToBearing(u, v, h)

Converts U-V wind data at specific heights to angular and radial components for polar plotting.

Parameters:

• u (float64 array) – U-Vector Wind Component from Forecast

• v (float64 array) – V-Vector Wind Component from Forecast

• h (float64 array) – Corresponding Converted Altitudes (m) from Forecast

Returns:

Array of bearings, radius, colors, and color map for plotting

Return type:

array