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Date

, 09:00-10:00 UTC

Participants

  • Remy Giraud (SC-IMT Chair)

  • Bernard Edward (GOMEZ)

  • Mark Majodina

  • Joseph Mukabana (Kenya)

  • Jnkhokwe

  • Rodrick Walusa

  • Ernest Afiesimama

WMO Secretariat

  • Anthony Rea

  • Lars Peter Riishojgaard

  • Amos Makarau

  • Enrico Fucile

  • Mariane Diop Kane

  • Lorena SANTAMARIA

  • Xiaoxia Chen

Discussion topics

Item

Presenter

Notes

WIS 2.0 Malawi AWSs demonstrator project

Enrico

  • OSCAR surface progress: 44 AWS WSI assigned; 6 not registered at AWS(38/44)

  • Amazon cloud: server configuration ready

  • Campbell scientific: BUFR in progress, transimission (to Amazon S3, to GISC PRetoria) in progress

  • Data transmission problems: from the station to the cloud

  • Benefits for Malawi NMHS: high frequency AWS data aquisition; NWP data

Quesitons and discussion

All

  • Rodick

    • service provider problmes, to be handled within a short time

    • set positions, postpaide side of the network:

      • the sations are , timely announcement will be sent in future

  • Marian

    • Data on Amazon cloud, any limitation , why not store data in Malawi

      • (EF) reason: system is resilient for 7x24, previous ways of using PC or workstations at office. Single point of failure will lead to the data loss from the Member. build a resilient system in the cloud which will never stop.

      • (EF) who can access the data? Administrators can acquire the date. Campbell, WMO Secratariat NOW have the access, when it is ready, Malawi colleagues will take over it.

    • AWS registered in OSCAR, how about other stations. more widely participation

      • EF: Pretoria, fix problems of GTS transmission, more data from Manual stations not transmitting pressure, which can not be used fully

      • frequency of the data transmission

      • so, to focus on the AWS, not the manual stations.

    • Capacity building>Campbell is helping installation. How about the sustainability

      • Amazon will provide training

      • Train cloud services, set up the system

      • not he scope of the projet,

      • training for the data use

      • build an app or website to show

  • Ernest

    • Thanks for the good demonstration. The solution is the first time in Africa

    • license acquisition, how to ensure licensing (fee), the problme of internet would be a major problem to download from the cloud to Malawi.

      • Internet problems: expensive internet, good internet connection is very expensive for NMHS.

      • Cloud service, reason, non/stop service, database in the cloud is a second storage which is available. Data source is still there if you lose the connection.

      • Internet connection problem:

    • Question: Maintenance, long term arrangement, any long/term strategy. exit strategy?

      • How to tranfer to other countries, to ask them the collection cloud/based collection system, in other countries, deploy such system. (Campbell)

      • Telecommunication system is changing. Change the data exchange, based on wis2 and cloud/based

      • Actions: discuss later, licensing

      • High resolution NWP processing,

      • NWP model: will be presented in the next meeting

  • Bernard

    • Question: station to cloud to Pretoria to GTS

    • Question: Does Malawi need to pay.

      • No payment

    • Reliable system

    • Frequency of the problems Malawi faces

      • (RW) antennas instatllation will be able to boost the signal for better connection

    • how they find their data, make use of the data

      • RW: nowcasting, forecasters are in better position now.

  • Amos

    • issues of sustainability, data policy,

    • 100% support the project

  • Enrico

    • cloud based data collection is a technology that can be done under different circumstances

    • Training and Sustainability: Malawi colleagues to learn how to use it

    • Exit strategy will be discussed later

  • Rodrick

    • installation , 124 manual stations, most of them were done by ourselves, so we have the capacity to install stations

  • Joseph Mukabana

    • Data ownship:

      • service provider

  • Lars Peter

    • motivation:

    • data ownership: big jigsaw parcel

    • workshop internally

    • return flow

    • Motivation is most important, not the data policy and techonology

  • Jalomo

    • Just move forward

  • Remy

    • no mixture of the discussion between solutions and data policy

    • no mixture of Physical location of the data and the data ownership 

Action items

Decisions

  • Focus more on the motivation currently, not the data policy not technology issues.

  • No labels