1. The World Weather Research Programme
Thomas Jung, Sarah Jones and Paolo Ruti

2. The World Weather Research Programme
WMO’s mechanism to foster and progress cooperative research for improved weather and environmental prediction services from minutes to months
Mission
“The WMO World Weather Research Programme (WWRP) promotes international and interdisciplinary research for more accurate and reliable forecasts from minutes to seasons, expanding the frontiers of weather science to enhance society’s resilience to high-impact weather and the value of weather information for users. WWRP aims at Seamless Prediction by increasing convergence between weather, climate and environmental approaches. WWRP strengthens academic – operational partnerships and interdisciplinary collaborations, and enhances the role of Early Career Scientists.”

3. 4 History 1998 - 2017 > 20 50 + Highest Achievements
Countries Involved in Research and Capacity Building
Global and Regional Research Projects
PPP The Polar Prediction Project
TOMACS Tokyo Metropolitan Area Convection Study for Extreme Weather Resilient Cities
MAP Mesoscale Alpine Programme
HYMEX Hydrological Cycle in
the Mediterranean Experiment
Today’s 6-day forecast is as accurate as 4-day twenty years ago
AMMA
African Monsoon Multidisciplinary Analysis
THORPEX – The Observing System Research and Predictability Experiment
S2S The Subseasonal
to Seasonal Project
Sydney 2000
Olympic Games
HIWeather
High Impact Weather Project
Ensemble forecasting became the cornerstone of nowadays prediction
Innovative solutions in high performance computing and data storage
Unprecedented capacity to integrate millions of daily data in predictions

4. WWRP activities will address four societal challenges
Activities for
WWRP activities will address four societal challenges
Research activities focus on:
Process understanding and assessment of needs on various scales
Novel observations, coupled modelling and advanced methods
Addressing limitations and uncertainty in predictions
Verification, application and attribution

5. How will this be achieved?
WWRP Working Groups:
(Experts from Met Services, Universities and Research Institutions)
Data Assimilation and Observing Systems
Socio-Economic Research Applications
Predictability, Dynamics and Ensemble Forecasting
Nowcasting and Mesoscale Research
Tropical Meteorology
Weather Modification
Verification (together with WCRP)
Core Projects:
Key Partners
National
and International
Research Projects
Commission for Hydrology (CHy)
Commission for Basic Systems (CBS)
Working Group on Numerical Experimentation

6. High Impact Weather Project (HIWeather)
Growing resilience through better warnings
Mission:
“Promote co-operative international research to achieve a dramatic increase in resilience to high impact weather, worldwide, through improving forecasts for timescales of minutes to two weeks and enhancing their communication & utility in social, economic & environmental applications”
Co-Chairs: Brian Golding (Met Office), David Johnston (U Massey, NZ)
See also
Christof Stache/AFP/Getty Images; Marina Shemesh /publicdomainpictures.net; Alexandros Vlachos/EPA; NOAA NWS; NOAA NWS

7. Scope defined by a set of hazards©
Urban Flood:
Reducing mortality, morbidity, damage and disruption from flood inundation by intense rain, out-of-bank river flow, coastal wave & surge overtopping and from consequent urban landslides.
© Tommy Hindley/ Professional Sport
Disruptive Winter Weather:
Reducing mortality, morbidity, damage and disruption from snow, ice and fog to transport, power & communications infrastructure.
Wildfire:
Reducing mortality, morbidity, damage and disruption from wildfires & their smoke. ©
Urban Heat Waves & Air Pollution:
Reducing mortality, morbidity and disruption from extreme heat & pollution in the megacities of the developing and newly developed world.
© Adrian Pearman/Caters
Extreme Local Wind:
Reducing mortality, morbidity, damage and disruption from wind & wind blown debris in tropical & extra-tropical cyclones, downslope windstorms & convective storms, including tornadoes.

8. Five research objectives
10km scale
Error
Growth
Minutes
Processes & Predictability: Initiation & evolution of hazard-related weather systems
Multi-scale Forecasting: Multi-scale prediction of weather hazards in coupled modelling systems
Infrastructure and density of vulnerable people
Human Impacts, Vulnerability & Risk: Hazard impacts on individuals, communities & businesses, their vulnerability & risk
Seven cross-cutting activities
Operational Forecasting
Observing Strategies
Uncertainty
Knowledge Transfer
Verification
Impact Forecasting
Data Management & Archiving
Communication: Achieving more effective responses to forecasts through better communication of hazard risk warnings
Evaluation: Measure skill and value of forecasts & warnings at all stages of production to focus research in weak areas & support users in developing responses

9. Bridging the gap between weather and climate
Sub-Seasonal to Seasonal Prediction Project (S2S)
Bridging the gap between weather and climate
Objectives:
Improve forecast skill and understanding on the sub-seasonal to seasonal timescale with special emphasis on high-impact weather events
Promote the initiative’s uptake by operational centres and exploitation by the applications community
Capitalize on the expertise of the weather and climate research communities to address issues of importance to the Global Framework for Climate Services
Co-Chairs: Frederic Vitart (ECMWF), Andrew Robertson (IRI)
See also

10. Madden-Julian Oscillation Verification and Products
Sub-Projects and Research Activities
Sub-Projects
Monsoons
Africa
Extremes
Teleconnections
Madden-Julian Oscillation
Verification and Products
Research Issues
Modelling Issues
Sources of predictability
Teleconnections
forecast opportunities
Ocean-Atmosphere Coupling
Scale interactions
Physical processes →
Initialisation Strategies
Ensemble generation
Role of resolution
Ocean-Atmosphere Coupling
Systematic errors
Spread/Skill Relationship
Multi-model combination

11. S2S Database Data Access - ECMWF Data Information
10 Global Ensemble Prediction Systems
Status
Data Access - ECMWF
Data Information

12. S2S Database
S2S product website at ECMWF: Contains near real-time products (2m T, precip, Z500 anomaly maps, MJO forecasts, EFI…) from S2S models from 1st January
“S2S museum” at University of Tsukuba, Japan: Contains near real time indices (MJO, AO, NAO. SSW…)
2m Temperature
SSW Index
ECMWF
NCEP
JMA
BoM

13. Thank you
Merci

14. Connecting forecasts & decision makers