Flight plan - ATR-20240826b

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Flight plan - ATR-20240826b#

Flight plan#

  • The flight is planned to take off at 2024-08-26 18:00:00+00:00 UTC and land at 2024-08-26 21:30:00+00:00 UTC.

  • Flight track designed to sample conditions behind the African Easterly Wave Trough

  • Previous flight followed the same track and sampled conditions ahead of the African Easterly Wave Trough (the trough passed by in-between flights)

  • NOTE: flight plan was modified in-flight to sample deep convection further to the south of the planned waypoints

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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, 23, 12, 0, 0)
date_time_str = date_time.strftime('%Y-%m-%d')
flight_time = datetime(2024, 8, 26, 12, 0, 0)

radius = 70e3 # units: km

airport = sal
wp1 = LatLon(lat=16.766, lon=-22.749, label='wp1')
wp2 = LatLon(lat=15.618, lon=-21.242, label='wp2')

path = [airport, wp1, 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, -21, 14.8, 17])

plot_cwv(cwv_flight_time)
../_images/16137fde8a2bac4b85378ccf7af41bf59c529c955df9d428c6781e7734c152e8.png

Flight Levels

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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 16.766000 -22.749000 NaN None None
wp2 15.618000 -21.242000 NaN None None
wp1 16.766000 -22.749000 NaN None None
SAL 16.734488 -22.943974 0.0 None None

Crew#

Job

Name

Pilot

D Duchanoy

Pilot

G Seurat

Mechanics

T André

Expé Principal

M Cluzeau

Expé

B Celou

PI

Louis Jaffeux

LNG

S Bounissou

aWALI

F Lally

Microphys 1

P Coutris

Microphys 2

G Fevre

RASTA

J Delanoë

BASTA

B McKim
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