Flight plan - ATR-20240829a

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Flight plan - ATR-20240829a#

ec_under c_atr

Flight plan#

  • The flight is planned to take off at 2024-08-29 13:50:00+00:00 UTC and land at 2024-08-29 17:20:00+00:00 UTC.

  • Flight track designed for coordination with EarthCare.

  • The KingAir will also fly with the ATR around ec_meet.

  • From now own, flights in the subcloud layer will be done around 250m instead of 150m. This will better allow the study of the connection between boundary layer themrals and the cloud base. It will also active the low antennas of RASTA.

Hide code cell source 
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, 28, 12, 0, 0)
date_time_str = date_time.strftime('%Y-%m-%d')
flight_time = datetime(2024, 8, 29, 12, 0, 0)

radius = 70e3 # units: km
circle_atr = LatLon(lat=15.807, lon=-24.859, label="circle_atr")
halo_circle = IntoCircle(circle_atr, radius, 360)

airport = sal
wp1 = LatLon(lat=15.662, lon=-24.818, label='wp1')
ec1 = LatLon(lat=14.779, lon=-25.085, label='ec1')
ec_meet = LatLon(lat=15.231, lon=-24.997, label='ec_meet')
ec2 = LatLon(lat=15.679, lon=-24.909, label='ec2')
wp2 = LatLon(14.798, lon=-25.176, label='wp2')


path = [airport, wp1, ec1, ec_meet, ec2, wp2, 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)
path_preview([circle_atr.course(0, radius), halo_circle], ax=ax)  # HACK: Add HALO circle
ax.scatter(circle_atr.lon, circle_atr.lat, color="tab:orange")
ax.text(circle_atr.lon+0.05, circle_atr.lat, color="tab:orange", s='HALO_Circle', bbox=dict(facecolor='white',edgecolor='white', boxstyle='round,pad=0.1'))

ax.set_extent([-26, -22.5, 14.5, 17])

plot_cwv(cwv_flight_time)
../_images/8ea55e9f203ab4549c2518dc0abc1a16f97487ab104985363a7a1c06790c9ff1.png

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Hide code cell source 
import pandas as pd
from dataclasses import asdict

pd.DataFrame.from_records(map(asdict, path+[circle_atr])).set_index("label")
lat lon fl time note
label
SAL 16.734488 -22.943974 0.0 None None
wp1 15.662000 -24.818000 NaN None None
ec1 14.779000 -25.085000 NaN None None
ec_meet 15.231000 -24.997000 NaN None None
ec2 15.679000 -24.909000 NaN None None
wp2 14.798000 -25.176000 NaN None None
SAL 16.734488 -22.943974 0.0 None None
circle_atr 15.807000 -24.859000 NaN None None

Crew#

Job

Name

Pilot

Dominique Duchanoy

Pilot

Guillaume Seurat

Mechanics

Thierry André

Expé Principal

Benoît Celou

Expé

Hubert Bellec

PI

Marie Lothon

LNG

Sophie Bounissou

aWALI

Valentin Guillet

Microphys 1

Alfons Schwarzenboeck

Microphys 2

Guy Lefebvre

RASTA

Julien Delanoë

BASTA

Christophe Legac
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