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Project description
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_or_dbs_srcs(LIST_OF_VAD_NETCDF_FILES)
# Windcube WLS70
raws_wls70 = doppy.raw.Wls70.from_srcs(LIST_OF_RTD_FILES)
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