Innovative New Canister-type Auto Balloon Launcher aiming for Uninterrupted Observations

Kensaku Shimizu, Ryota Maeda, and Norio NagahamaP2 (63)

Meisei’s new auto balloon launcher is designed to use multiple modularized canisters arranged in the balloon inflating area, “Canister-type”. Advantages:• Allows variety of selection in number of sondes (Min.4 to Max.40) to meet user’s

requirements.• Simple structure with minimal moving mechanism allows steady and assured operations• Multiple modularized canisters which can be inflated respective balloons achieve

continue observations with a minimum of human intervention.

Aircraft Derived Wind and Temperature Observations on a Global ScaleEdmund Stone and Malcolm Kitchen

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Met Office FitzRoy Road, Exeter, Devon, EX1 3PB United KingdomTel: +44 1392 885680 Fax: +44 1392 885681Email: ed.stone@metoffice.gov.uk

IntroductionMode-S enhanced surveillance (Mode-S EHS) derived meteorological data have the potential to be a very valuable source of high quality wind observations from aircraft [1,2,3]. Mode-S EHS is an air traffic management standard where an aircraft transmits a set of messages about their current situation. These messages provide both the aircrafts vector through the air and the vector along the ground. The difference between these two vectors is the wind acting on the aircraft. It is also possible to derive temperature observations using the reported Mach number and the true airspeed [3].

UK Network• Network of 6 receivers.

• The receivers gather Mode-S EHS messages and Automated Dependent Surveillance Broadcast (ADS-B) (position data) messages.

• The network derives around 5.5 million wind observations every day around the UK, and around 900 profiles.

• Observation – Background statistics (UK-V 1.5 km) of a similar quality to those generated for AMDAR.

• So far,13 days of data have been collected from the GomX-3 satellite. These have provided 19353 observations across the globe, with the wide availability of data being shown in Figure 5 as the red dots. The blue lines represent the path of the satellite.

• For regions where data is received from cruse altitudes, some profile data is also available.

• There is potentially significant value in this data, although location specific heading corrections will need to be made.

• Further work on the collection efficiency and cross section will need to be made for operational cubesat collection to be feasible.

Air Vector

Ground VectorWind

Global Satellite ReceptionThere have been several advances in the detection of ADS-B data using satellites to enable Air Traffic Control (ATC) to track aircraft with no breaks in coverage [4]. Recently, the European Space Agency (ESA) and GomSpace have completed a mission to demonstrate the potential to use a cubesat (GomX-3, shown in figure 4) to detect ADS-B data to track aircraft from space.

• These advances have opened up the possibility of considering global Mode-S EHS data coverage without the need to deploy 100’s of ground stations. As such, the Met Office, ESA and GomSpaceare currently working together to map the potential coverage of Mode-S EHS data across the globe and to assess the economic value of collecting the data using a satellite platform.

AcknowledgementsWe would like to thank GomSpace and the European Space Agency for listening to our idea and reprogramming their satellite on a very tight timescale to provide data for this poster and for their ongoing support.

References[1] Siebren de Haan. High-resolution wind and temperature observations from aircraft tracked by Mode-S air tracked by air traffic control radar. Journal of Geophysical Research: Atmospheres (1984{2012), 116(D10), 2011.[2] Heiner Lange and Janjić Tijana. Assimilation of mode-S EHS aircraft observations in COSMO-KENDA. Monthly Weather Review 144.5 (2016): 1697-1711.[3] Edmund Keith Stone and Gary Pearce. A network of mode-s receivers for routine acquisition of aircraft-derived meteorological data. Journal of Atmospheric and Oceanic Technology, 33(4):757{768, 2016.[4] Igor Alonso Portillo1, David Gerhardt, and Morten Bisgaard. Launch and early operations phase for the gomx-3 mission. 2016.

Figure 1. Vector diagram demonstrating how aircraft movement vectors can be used to calculate wind observations.

Figure 2. Observation-background (o-b) statistics for Mode-S EHS derived (solid black circles) and AMDAR (solid gray

triangles). Heading corrections were introduced on 28th August.

Figure 3. Mode-S antenna installation at the Channel Islands Radar.

Figure 5. Map showing the location of derived wind and temperature observations (red dots) received using the GomX-3 satellite. The blue lines show the path of the satellite during the data collection period.

Figure 4. The GomX-3 CubeSat.

P2(68) JMA’s C‐band dual‐polarization

Doppler weather radar with SSPAsDual‐PolSolid State

Low Peak Power

Narrow Band

High qualityHigh speed

1min Low elevation

5min Volume scanSevere Phenomena

Detection

72WSG8

P2 (72) – A smart framework for weather awareness

© 2016 Selex ES GmbH - All rights reservedPoster P2(72), CIMO TECO 2016 Madrid, Think smart

• Aeronautical MET information is pivotal• ICAO MET services, especially for terminal area, are not enough and climate change /

traffic / safety / environment will influence the future MET information and service content.• Consistent, interoperable, concise and fit-for-purpose weather information is a fundamental

ingredient to improve global situational awareness.

Motivation

• ICAO/GANP * ASBU * SWIM * SESAR * SESAR2020• ICAO/WMO CAeM: Restructure of Annex 3 / new Procedures for Air Navigation Services for

MET• National: German Federal Aeronautical Research Programme 2016-2019

Drivers

• R&D on inter alia visibility detection (3D ceilometer/infrared camera), turbulence and wind shear (radar and lidar), glide slope related information for TMA, cross wind impact, Microburst radar overhead assessment

• Solution for web-based and human centric decision support framework• R&D on translation ATM MET information to ATM impact metrics

Poster presents …