slv.measurements.wyoming#

Functions

`calculate_enhancements`(data[, window])
`enhanced_R_and_ratio`(data[, window])
`merge_aeris_met`(aeris, met)	Merge aeris and met dataframes, interpolating met data to match aeris timestamps
`plot_windbarbs`(data, ws, wd[, ax, x, y])
`read_aeris`(file)
`read_met`(file)
`wyomingMap`(data, param[, ax, extent, tiler, ...])

slv.measurements.wyoming.read_aeris(file)[source]#

slv.measurements.wyoming.read_met(file)[source]#

slv.measurements.wyoming.merge_aeris_met(aeris, met)[source]#

Merge aeris and met dataframes, interpolating met data to match aeris timestamps

Parameters:

aeris (pd.DataFrame) – Aeris data
met (pd.DataFrame) – Met data

slv.measurements.wyoming.calculate_enhancements(data, window=1)[source]#

slv.measurements.wyoming.enhanced_R_and_ratio(data, window='30s')[source]#

slv.measurements.wyoming.plot_windbarbs(data, ws, wd, ax=None, x='longitude', y='latitude')[source]#

slv.measurements.wyoming.wyomingMap(data, param, ax=None, extent=None, tiler=None, tiler_zoom=12, cmap='YlOrRd', figsize=(16, 10), plot_winds=True, windskip=40, title=None, **kwargs)[source]#