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Project description
Doppy – Doppler wind lidar processing
Products
Instruments
- HALO Photonics Streamline lidars (stare, wind)
- Leosphere WindCube WLS200S (wind)
- Leosphere WindCube WLS70 (wind)
Install
pip install doppy
Usage
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,
)
(
doppy.netcdf.Dataset(FILENAME)
.add_dimension("time")
.add_dimension("range")
.add_time(
name="time",
dimensions=("time",),
standard_name="time",
long_name="Time UTC",
data=stare.time,
dtype="f8",
)
.add_variable(
name="range",
dimensions=("range",),
units="m",
data=stare.radial_distance,
dtype="f4",
)
.add_variable(
name="elevation",
dimensions=("time",),
units="degrees",
data=stare.elevation,
dtype="f4",
long_name="elevation from horizontal",
)
.add_variable(
name="beta_raw",
dimensions=("time", "range"),
units="sr-1 m-1",
data=stare.beta,
dtype="f4",
)
.add_variable(
name="beta",
dimensions=("time", "range"),
units="sr-1 m-1",
data=stare.beta,
dtype="f4",
mask=stare.mask,
)
.add_variable(
name="v",
dimensions=("time", "range"),
units="m s-1",
long_name="Doppler velocity",
data=stare.radial_velocity,
dtype="f4",
mask=stare.mask,
)
.add_scalar_variable(
name="wavelength",
units="m",
standard_name="radiation_wavelength",
data=stare.wavelength,
dtype="f4",
)
.add_attribute("serial_number", stare.system_id)
.add_attribute("doppy_version", doppy.__version__)
).close()
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