Flight plan - ATR-20240901a

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Flight plan - ATR-20240901a#

Flight plan#

  • The flight is planned to take off at 2024-09-01 13:30:00+00:00 UTC and land at 2024-09-01 17:00:00+00:00 UTC.

  • Flight track not yet available.

  • ‘Millefeuille’ flight pattern (lower-troposphere only, multiple levels) to better sample shallow convection

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from orcestra.flightplan import sal, bco, LatLon, IntoCircle, path_preview, plot_cwv
from datetime import datetime
import intake

cat = intake.open_catalog("https://tcodata.mpimet.mpg.de/internal.yaml")

date_time = datetime(2024, 8, 31, 12, 0, 0)
date_time_str = date_time.strftime('%Y-%m-%d')
flight_time = datetime(2024, 9, 1, 12, 0, 0)


airport = sal
wp1 = LatLon(lat=16.76, lon=-22.62, label='wp1')
wp2 = LatLon(lat=14.42, lon=-22.10, label='wp2')
wp3 = LatLon(lat=15.5,lon=-22.348, label='wp3')


path = [airport, wp1, wp2, wp3, wp2, wp3, wp2, wp1, airport]

ds = cat.HIFS(refdate=date_time_str, reftime=date_time.hour).to_dask()
cwv_flight_time = ds["tcwv"].sel(time=flight_time, method = "nearest")

ax = path_preview(path)
ax.set_extent([-24, -20, 13.5, 17])

plot_cwv(cwv_flight_time)
../_images/efce7138a3b407ad7156cd6565420a9f8c3ab6b9143d79a9485d37fef28b3030.png
Hide code cell source
import pandas as pd
from dataclasses import asdict

pd.DataFrame.from_records(map(asdict, path)).set_index("label")
lat lon fl time note
label
SAL 16.734488 -22.943974 0.0 None None
wp1 16.760000 -22.620000 NaN None None
wp2 14.420000 -22.100000 NaN None None
wp3 15.500000 -22.348000 NaN None None
wp2 14.420000 -22.100000 NaN None None
wp3 15.500000 -22.348000 NaN None None
wp2 14.420000 -22.100000 NaN None None
wp1 16.760000 -22.620000 NaN None None
SAL 16.734488 -22.943974 0.0 None None

Crew#

Job

Name

Pilot

None

Pilot

None

Mechanics

None

Expé Principal

None

Expé

None

PI

Marie Lothon

LNG

None

aWALI

None

Microphys 1

None

Microphys 2

None

RASTA

None

BASTA

None