doppy 0.3.5

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Doppy – Doppler wind lidar processing

Products

• Stare: src, Cloudnet examples
• Wind: src, Cloudnet examples

Instruments

• HALO Photonics Streamline lidars (stare, wind)
• Leosphere WindCube WLS200S (wind)
• Leosphere WindCube WLS70 (wind)

Install

pip install doppy

Usage

Stare

import doppy

stare = doppy.product.Stare.from_halo_data(
    data=LIST_OF_STARE_FILE_PATHS,
    data_bg=LIST_OF_BACKGROUND_FILE_PATHS,
    bg_correction_method=doppy.options.BgCorrectionMethod.FIT,
)

stare.write_to_netcdf(FILENAME)

Stare with depolarisation

import doppy

stare_depol = doppy.product.StareDepol.from_halo_data(
    co_data=LIST_OF_STARE_CO_FILE_PATHS,
    co_data_bg=LIST_OF_BACKGROUND_CO_FILE_PATHS,
    cross_data=LIST_OF_STARE_CROSS_FILE_PATHS,
    cross_data_bg=LIST_OF_BACKGROUND_CROSS_FILE_PATHS,
    bg_correction_method=doppy.options.BgCorrectionMethod.FIT,
    polariser_bleed_through=0,
)

stare_depol.write_to_netcdf(FILENAME)

Wind

import doppy

wind = doppy.product.Wind.from_halo_data(
    data=LIST_OF_WIND_SCAN_HPL_FILES,
)

# You can also pass instrument azimuth offset in degrees as an option
wind = doppy.product.Wind.from_halo_data(
    data=LIST_OF_WIND_SCAN_HPL_FILES,
    options=doppy.product.wind.Options(azimuth_offset_deg=30),
)

# For windcube wls200s use
wind = doppy.product.Wind.from_windcube_data(
    data=LIST_OF_VAD_NETCDF_FILES,
)

# For windcube wls70 use
wind = doppy.product.Wind.from_wls70_data(
    data=LIST_OF_RTD_FILES,
)

wind.write_to_netcdf(FILENAME)

Raw files

import doppy

# Halo
raws_hpl = doppy.raw.HaloHpl.from_srcs(LIST_OF_HPL_FILES)
raws_bg = doppy.raw.HaloBg.from_srcs(LIST_OF_BACKGROUND_FILES)
raw_system_params = doppy.raw.HaloSysParams.from_src(SYSTEM_PARAMS_FILENAME)

# Windcube WLS200S
raws_wls200s = doppy.raw.WindCube.from_vad_srcs(LIST_OF_VAD_NETCDF_FILES)

# Windcube WLS70
raws_wls70 = doppy.raw.Wls70.from_srcs(LIST_OF_RTD_FILES)