1. ICT-ISS – WIS strategy Matteo Dell’Acqua
Expert team on WIS centres
ET-WISC
Melbourne, Australia April 2016

2. Information exchange service
WIS status
Network infrastructure, process and procedure to access and share data
WIS intended to support all WMO Programmes;
Reality is that only WWW is well represented.
WIS is a network for expert (centres from WWW)
Difficult to put new data on WIS
Difficult to find data
Difficult to know that WIS exist
Dedicated MPLS networking is complex to manage and provides increasing IT security challenges
Information exchange service
The GTS is a merge of technical and procedural elements involving NMHSs and RTH
GTS Infrastructure
Network Connectivity
WMO.ET-WISC, 2016

3. WIS status WIS Part A and WIS part B have very little in common
WIS Part A is still mainly relying on current point to point store and forward MSS and still depends on TTAAii routing
Very ‘fine-grained’ metadata; dominated by “GTS” bulletins
“one metadata record per TTAAii+timestep” is damaging the search experience; e.g. when searching for temperature products, a user is deluged with bulletins
‘Quality’ of metadata is mixed
With the retirement of WMO No. 9 Vol C1, the primary function of WIS appears to have become management of operational bulletins
WMO.ET-WISC, 2016

4. WIS status
Constant increase in the flow of data to exchange and information to be disseminated to our various users mean that it is necessary to re-think how data is shared
Current and future earth observation mission/project continuously increase the amount of data available and computing power needs
Data volumes created in numerical weather prediction continue to grow at a considerably faster rate than the performance of telecommunications networks
In its current form, the WIS, and mainly the GTS, is a niche infrastructure that supports the expert meteorological community
CBS-Ext(2014), OPG-ISS report

5. Opportunities Increasing use of the Web as a data sharing platform
Commercial infrastructure providers offer
stable, secure and cost-effective ‘cloud’ hosting of virtualized computing resources
‘content distribution networks’ (CDN)
Search engines (Google, Bing, Yahoo etc.) remain the common entry point for consumer discovery of information
OpenSearch API is widely used to enable searching within remote data holdings and forms a core element of the Open Geospatial Consortium Catalogue Service (CSW) specification
Applications such as Dropbox indicate that file distribution services have become commoditized and are no longer the domain of specialized applications such as GTS message switching
WMO.ET-WISC, 2016

6. Opportunities
Infrastructure-level messaging services, e.g.  RabbitMQ, and messaging protocols, e.g. AMQP,  have become the de facto mechanism to share event driven notifications and alerts
Common data sharing platforms and technology are a prerequisite
Risk reduction and emergency response requires collaboration with multiple agencies
Assessing the impact of environmental hazards requires meteorological data to be combined with other socio-economic data
WMO.ET-WISC, 2016

7. WIS vision
Information System operated by Members built on commercially available services and industry standards
To exchange at the right moment the relevant information
Redundant, resilient, efficient and scalable infrastructure
With an applications/services layer
A global catalogue of information and services
And Ready to support SMAC (Social, Mobile, Analytics (Big Data), Cloud) and IoT
One stop shop for meteorological information, the “virtual marketplace” of data and products of all WMO Programmes
“WMO members have the data and we offer through WIS an open eco-system with application and services”
Provide standard interfaces for data exchange and access
Provide seamless experience to users to access information and services in real time and from archive in order to develop new services and products
WMO.ET-WISC, 2016

8. WIS vision
Move away from statically defined store and forward mechanism
Subscription to events related to availability data
Not limited to global data exchange, should be used also by any WIS centres
“WIS cloud infrastructure”
NCs and DCPCs publish ‘real-time’ data to cloud-based file repository
Include common services across the cloud
Add interoperable API and services onto the WIS with SLA to improve the exchange and easy sharing of data and information and develop new way to use met information
Processing close to the data
Mapping services
Subsetting, aggregation
Format conversion, reprojection
WMO.ET-WISC, 2016 8

9. WIS vision
NC and DCPC roles are the primary roles within WIS as these Centers generate the content
Role of GISC become a management, governance function in operating a portion of the shared infrastructure
Helping their affiliated Centers publish quality metadata and data
Data providers can published directly on the central data store
Providing quality control and timeliness metrics for data collected by affiliated Centers
Governance body to define/review process on
data to exchange, how to exchange them, how to manage them
Operation, evolution, improvement, planification, …
Evolution and not revolution
Incremental changes
New data should not be exchanged through the current routing technologies and should be provided through the new WIS system
WMO.ET-WISC, 2016 9

10. WIS vision - the plateform
Acquisition
Dissemination
Collaboration
WMO.ET-WISC, 2016 10

11. WIS strategy - The cloud !
Opened to new partners from different business (energie, health, ..) to develop the use of WMO information
WMO.ET-WISC, 2016

12. WIS Part C: Data Lifecycle Management
Information activities
Create
Store
Share
Acquisition, dissemination, access services
Use
Processing services
Archive
Destroy
WMO.ET-WISC, 2016

13. WIS strategy: what next
2nd WIS strategy ad-hoc meeting in May
Finalyse the vision and draft strategy
ICT-ISS meeting in June
Review the draft document
Draft sent to CBS MG
Input from others TC
Draft presented to CBS
Guangzhou, November 2016
WMO.ET-WISC, 2016

14. Input from ET-WISC
WG1 (chair: Weiqing, rapporteur: Hassan): Review the organisational structure( GISCs, DCPCs, NCs, network, governance, ... ) needed to best support the WIS and review the status of data centres that should be connected to WIS and define a strategy on how to engage with them
WG2 (chair: Robert, rapporteur: Mark): Analyse how do we best present and  deliver data in a world that will be looking more and more carefully at weather & climate data
WG3 (chair: Lothar, rapporteur: Kevin): Analyse how do we best share and manage the data within WIS in order to fulfil the ever-increasing demand of weather & climate data
Invited expert : Bruce Bannerman
WMO.ET-WISC, 2016

15. Thank you for your attention