Flight plan - KA-20240907a

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Flight plan - KA-20240907a#

ec_under ec_track in_cloud insitu_aerosol

Crew#

The flight is planned to take off at 2024-09-07 14:30:00+00:00.

Job

Name

PI

Tim Carlsen

Instrument operator

Sorin Ghemulet

Instrument operator

Alex Vlad

Flight plan#

Leg 1: RAI -> WP1 (arrive @FL060 at 15:05 UTC | 14:05 LT)

Leg 2: Holding pattern at WP1 until 15:25 UTC (assessing cloud situation)

Leg 3 (Start 15:25 UTC): WP1 -> WP3 (via WP2) - around FL020-FL060 - 140 kt (~40min) - in-cloud if possible Note: Be at WP2 at 15:45 UTC | 14:45 LT for satellite overpass

Leg 6: WP3 -> RAI (~25min).

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from orcestra.flightplan import sal, bco, LatLon, IntoCircle, path_preview, plot_cwv
from datetime import datetime
import intake
import easygems.healpix as egh

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

# Define dates for forecast initialization and flight

issued_time = datetime(2024, 9, 5, 0, 0, 0)
issued_time_str = issued_time.strftime('%Y-%m-%d')

flight_time = datetime(2024, 9, 7, 12, 0, 0)
flight_time_str = flight_time.strftime('%Y-%m-%d')
flight_index = f"KA-{flight_time.strftime('%Y%m%d')}a"

print("Initalization date of IFS forecast: " + issued_time_str + "\nFlight date: " + flight_time_str + "\nFlight index: " + flight_index)

airport = LatLon(lat=14.945, lon=-23.4863889, label='RAI')

wp1 = LatLon(lat=15.750969, lon= -23.810386, label='wp1')
wp2 = LatLon(lat=14.973537, lon=-23.962397, label='wp2 (ec-meet)')
wp3 = LatLon(lat=14.131217, lon=-24.126245, label='wp3')

leg_out = [
     airport,
     wp1
]

leg_calval = [
      wp1,
      wp2,
      wp3
]

leg_home = [
     wp3,
     airport
]

path = leg_out + leg_calval + leg_home 

cat = intake.open_catalog("https://tcodata.mpimet.mpg.de/internal.yaml")
ds = cat.HIFS(datetime=issued_time).to_dask().pipe(egh.attach_coords)
cwv_flight_time = ds["tcwv"].sel(time=flight_time, method = "nearest")

ax = path_preview(path)

plot_cwv(cwv_flight_time)

Initalization date of IFS forecast: 2024-09-05
Flight date: 2024-09-07
Flight index: KA-20240907a
../_images/71e4fef8984746b30858518651db5c738efb345847482762315b548af9b7aed8.png

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import pandas as pd
from dataclasses import asdict

pd.DataFrame.from_records(map(asdict, [airport, wp1, wp2, wp3, airport])).set_index("label")
lat lon fl time note
label
RAI 14.945000 -23.486389 None None None
wp1 15.750969 -23.810386 None None None
wp2 (ec-meet) 14.973537 -23.962397 None None None
wp3 14.131217 -24.126245 None None None
RAI 14.945000 -23.486389 None None None
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