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Date

, 09:00-10:00 UTC

Participants

  • Remy Giraud (SC-IMT Chair)

  • Bernard Edward (GOMEZ)

  • Joseph Mukabana (Kenya)

  • Jolamu NKHOKWE

  • Rodrick Walusa

  • Ernest Afiesimama

WMO Secretariat

  • Anthony Rea

  • Lars Peter Riishojgaard

  • Amos Makarau

  • Mark Majodina

  • 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 problems, to be handled within a short time

    • set positions, postpaide side of the network:

      • the 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, comparing to previous ways of using PC or workstations at office. Single point of failure will lead to the data loss from the Member. To 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, and how to set up the system

      • not the scope of the project

      • training for the data use

      • build an app or website to show

  • Ernest

    • Thanks for the good demonstration. The solution is the first one 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