mss - software for planning research aircraft missions

Mitg

lied

derH

elm

holtz

-Gem

eins

chaf

t

MSS - Softwarefor planning researchaircraft missions

30.10.2016 Reimar Bauer

About me

Forschungszentrum Jülich GmbH

http://www.fz-juelich.de/

Reimar Bauer, IEK-7

@ReimarBauer

Python Software FoundationPython Software Verband [email protected]@[email protected]

30.10.2016 Reimar Bauer Folie 2

http://www.fz-juelich.de/

Atmospheric Research – WHAT?

Understand variousindividual processes andtheir interplay

Figure: NASA Earth Observatory


Sketch of Atmospheric Processes

Source: SPARC Report


Atmospheric Research – WHY?

Provide predictions for the atmosphere regarding

Climate

Global warming

Ozone hole

. . . and many more


Atmospheric Research – HOW?

Measurements of chemical trace gas composition and otherparameters of interest that characterize these processes

LaboratoryBalloonsAircraftsSatellites

Simulations of the atmosphere (composition, particles) by avariety of models


Atmospheric Research – AIM

Improved understanding of the individual processes

parametrize these processes in atmospheric models, e.g.Chemistry climate models (CCMs) and Earth system models(ESMs)

Quality improvement of models and predictions for ozonehole, climate,. . .


Atmospheric Research – Aircraft Measurements

Flexibility to measure at locations of scientific interest

Cheap compared to satellite measurements

Research flight hours are rare and still very expensive

Collaboration with various groups and institutions that arespecialized for individual measurements


Example: The Geophysica Aircraft

Top altitude: 20 km, range: 3000 km



Places for payload of scientific Instruments



Instrument Parameter P.I. Bay

FOZAN O3 Ulanovsky, CAO FabrizioRavegnani, CNR

Bay 5

FISH H2O (total) MartinaKraemer, JUELICH

Bay 4

FLASH H2O (gas phase) AlexeyLykov, CAO

Under Wing Pylon

SIOUX

NO NOy

Particle NOy HansSchlager, DLR

Under Wing Podright

HALOX t.b.d.ClO BrO FredStroh, JUELICH

left Wing Pod

HAGAR

N2O, CFC12

CFC11 CH4, H2 SF6

Halon 1211 CO2

MichaelVolk, BUW Bay 8

WAS Long lived trace gases and isotopo-logues ThomasRoeckmann, UTRECHT

Fuselage Bay

Many more instruments for measurements of differentparameters


Example: The HALO Aircraft

Top altitude: 15 km, range: 10000 km

HALO leaving the Arena Arctica. Picture by Peter Preuße, FZJ.


Planning of Research Flights

Typically, scientific campaigns with more flights from a baseairport address one or more scientific questions

Model simulations provide related parameters of interest forthe near future using meteorological forecast data

Optimization of the scientific outcome by finding the best flightpath (in 4 dimensions time, latitude, longitude, altitude) in the“model world”

Consideration of various aircraft constraints (range, flightaltitude, overflight permits. . . )

Discussion and iteration of the proposed flight plans withpilots and aircraft representatives


M¯

ission S¯upport S

¯ystem (MSS)

Software to aid scientific flight planning:Marc Rautenhaus, formerly DLR, introduced MSS in 2012. It issince May 2016 a git FOSS project on bitbucket.

Python 2.7.x Client / Server application

OGC web map service based

conda-forge - anaconda application

License: Apache 2.0

Docs: mss.rtfd.io


Documented in GMT


Basic principle of the OGC Web Map Service standard

A client (left) sends a GetMap request, encoded as an HTTPURL to the server (right). The server creates an image file andsends it to the client.

Rautenhaus et al., GMD, 5, 55-71, 2012


Description MSS

A data center can install the MSS server component andconfigure it to provide data.

The client is a QT 4 GUI application which can access manyMSS Servers.

The client accesses the server and requests vertical,horizontal views and receives generated images.

Scientists interactively design a flight route in direct relation toatmospheric prediction data.

Way points of a proposed flight route are overlayed on anyview of requested data.

All the information could be exchanged and manipulated byothers.


Architecture of MSS WMS Server



Architecture of MSS GUI



Installing MSS and running Client or/and Server$ conda create -n mssenv python=2$ source activate mssenv$ conda install -c conda-forge mss$ mss$ #mswms #standalone wsgi server

MSS Launcher:


Top View


A) map projection

B) zoom/pan

C) way points

D) appearance

E) open controls

F) layer

G) time setup

H) new request


Vertical Flight Profile



Table View


Listing way points of the flight track


Example: NAWDEX, Sept/Oct 2016 Keflavik, Iceland

Pictures: Marc Rautenhaus, TU München


Example: HALO flight from Kiruna toOberpfaffenhofen

Top view: Mixing ratios of N2O and O3:

Source: POLSTRACC flight planning team



Side view: Mixing ratios of N2O and Ozone loss:




Top view: Cloud cover and tropopause height:




Side view: Clouds and Potential Vorticity:



Documentation

http://mss.rtfd.io

https://bitbucket.org/wxmetvis/mss

https://anaconda.org/conda-forge/mss

http://www.geosci-model-dev.net/5/55/2012/gmd-5-55-2012.pdf

http://www.geosci-model-dev.net/5/55/2012/gmd-5-55-2012-supplement.pdf


http://mss.rtfd.io

https://bitbucket.org/wxmetvis/mss

https://anaconda.org/conda-forge/mss





Examples of campaigns using MSS

ML-CIRRUS 2014 Oberpfaffenhofenhttp://www.pa.op.dlr.de/ML-CIRRUS/

POLSTRACC 2016 Kirunahttps://www.polstracc.kit.edu/polstracc

STRATOCLIM 2016-17 Kalamata and Indiahttp://www.stratoclim.org/

NAWDEX 2016 Icelandhttp://nawdex.org/

WISE 2017 Irelandhttps://www.blogs.uni-mainz.de/fb08-ipa/wise/


http://www.pa.op.dlr.de/ML-CIRRUS/

https://www.polstracc.kit.edu/polstracc

http://www.stratoclim.org/

http://nawdex.org/

https://www.blogs.uni-mainz.de/fb08-ipa/wise/

Summary

Scientific aircraft research flights have to be plannedbeforehand. For that it is necessary to have model forecasts ofrelevant quantities such as meteorological parameters, chemicalcomposition or particle information to guide the aircraft to thelocation of interest.

For discussion of the possibilites of the research flights, theMission Support System (MSS) was developed. This softwarehelps to review a big amount of metereological and model databy viewing the forecasted parameters of interest along possibleregions of a proposed flight path.
