Future Global Data-processing and Forecasting System (GDPFS)€¦ · Future Global Data-processing...
Transcript of Future Global Data-processing and Forecasting System (GDPFS)€¦ · Future Global Data-processing...
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Future Global Data-processing and Forecasting System (GDPFS)
Michel JeanPresident of CBS
Enabling Seamless Activities from Research toOperations to Service (R2O2S)for the benefits of Members
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The GDPFS …
Cg-17 Side Event 2
• Is organized as a three-level system to carry out functions at global, regional and national levels
– World Meteorological Centre (WMC)– Regional Specialized Meteorological Centre
(RSMC) (incl. Regional Climate Centre (RCC))– National Meteorological Centre (NMC)
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Purpose of the GDPFS• The GDPFS provides the core operational
prediction capabilities and systems of WMO (operated by Members – 191)– Nowcasting (VSRF) – 0-6h– Numerical Weather Prediction & EPS – 6h-15d– Long-Range Forecasting – Sub-seasonal to Longer
Time Scales – up to 2 years– Emergency Response Activities for Nuclear and Non-
Nuclear dispersion– Specialised centres – eg sand and dust-storm, tropical
cyclone centres
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The structure of Global Data-Processing and Forecasting System
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GDPFS Operational System
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GDPFS LayersGlobal Centers – High-Quality Information
Regional Centers – High-Quality & High-Res Information
National Centers – Very High-Res, Tailoring products
A Future Urban Layer
Verification Data & Im
pact Data
WIGOS
R&D
WIS
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test footer 7
The GDPFS today…
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• Any advanced technological infrastructure needs a manual
• A WMO source of technical regulations for all operational data-processing and forecasting systems
• It includes the criteria for designation of operational centresand their operations
• Revised version endorsed at CBS-16. Additional new centre types designation (e.g. RSMC for non-nuclear ERA)
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The Manual on the GDPFS (WMO- No 485)
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New type of centres (examples)
ASDF with CAS
NTCP with CCl, CAS and WCRP
OWFV with JCOMM
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Observations and Technologies supporting GDPFS
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How GDPFS relatesto WIGOS and WIS
GDPFS
WIS
WIGOS
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Driving innovation in the GDPFS
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URBANIZATION HIGH IMPACT WEATHER WATER & AEROSOLSNEW TECHNOLOGIES & GHG Information
System
How GDPFS relates to Research
CAS Societal Challenges
Seamless prediction in the CAS context considers all compartments of the Earth system aswell as disciplines of the weather enterprise value chain (monitoring and observation,models, forecasting, dissemination and communication, perception and interpretation,decision- making, end-user products) to deliver tailor made weather information fromminutes to months and from global to local.
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A Seamless Services Production Chain
Weather Climate Environmental Observational
Systems
Process description – Dynamics -Predictability
Data Assimilation –Prediction from
minutes to decades – Ensemble Prediction
Verification – Post-processing research
– Big Data
User Driven Research
Tailoring Observational
capabilities
Enhancement of Data Processing and Forecasting
Systems
Verification tools – Automatized forecasting & early warning
systems
Various products specifically tailored to
different user groups
Strengthening NMHS capabilities
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A Seamless Services Production ChainFilling the gap between research (R&D) and operations requires a move from a current linear model of transferring research to operations to an interactive model. This interactive path to value innovation requires:
• A continuous joint consultation of research and operations with the user community.
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Plug-in of WMO interface 2.0 to GDPFS
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CSIS and how it relates to Seamless GDPFS
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Global infrastructure
GPCLRFs
RCCs
• GPCLRF & RCC inventory of GFCS-relevant climate data and products (ECVs) 165+ pp.
• Not discoverable or organized in systematic form
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Global infrastructure
GPCLRFs
RCCs
• C3S portal into past, present and future ECVs globally
• WIS to catalogue all• GDPFS for cascading
system
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The Vision
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GDPFS Vision
Vision: The GDPFS will be developed and expanded to cover seamlessly all timesacles from short to multi-annual range (Cg 17, Resolution 11)• Sustain and enhance quality and reliability of existing
operational services incl ERA• Dynamical monthly, seasonal and multi-annual
products understood and integrated in National and regional services and informing adaptation to clim var & change and informing decisons retaled to GFCS priority areas and DRR
• ERA for non-nuclear hazards to reach same level of maturity as nuclear ERA
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Seamless PredictionEssential support to decision making on all timescales
Forecast lead-time
Now
Hou
rs
Day
s
1-w
eek
1-m
onth
Seas
onal
Dec
adal
Clim
ate
Past
clim
ate
Confidence boundary
Analysis of past weather observations to manage climate risksEg. Agriculture: informs crop choice, planting to yield optimisation and minimise crop failure risk.
Predicting routine and hazardous weather conditions. Public, emergency response, international Disaster Risk Reduction
Monthly to decadal predictions - probability of drought, cold, hurricanes….Contingency planners, national and international humanitarian response, government and private infrastructure investment
Global and regional climate predictions.Informs mitigation policy and adaptation choices. Impacts on water resources, heat stress, crops, infrastructure.
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Future seamless
GDPFS
Seamless GDPFS
Rolling Review of
User Requir. and R&D Broaden
Cascading Process
(Timescale/ Applications)
Designation of new-type of Centres
Advances & science pull-through to operations
Common User Interface
Platform
Product Verification
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The future GDPFS will… • Be an effective and adaptable monitoring and
prediction system enabling Members and partners to make better-informed decisions
• Facilitate the provision of impact-based forecastsand risk-based warnings through partnership and collaboration
• Do so through the sharing of weather, water, climate and related environmental data, products and services in a cost effective, timely and agile way, for the benefit of all WMO Members
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• WMO foundational activity addressing the data-processingand forecasting needs of the weather, climate, water and environmental services of its Members
• A framework for integrating all WMO data-processing and forecasting systems under a common regulatory and management framework
• An incentive for continuous innovation and integration with other technological endeavours
In summary, the seamless GDPFS is…
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Thank you
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Questions for discussionIn a seamless GDPFS concept, encompassing weather, climate and water and related environment:1. What WMO commission or other structure(s) would be
appropriate for coordinating and integrating across the expanded scope of variables and timescales required of a seamless GDPFS?
2. Given the expanded number of types of centres and functions, how could/should the functions of these centres and their designations within the GDPFS be streamlined and harmonized?
3. What is the status of the user interface for defining and meeting end-use requirements and what are the key stakeholder forums for defining and meeting demand?