EUPHEME Prof Len Shaffrey, National Centre for Atmospheric Science Department of Meteorology University of Reading, UK - Copernicus Climate Change
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EUPHEME Prof Len Shaffrey, National Centre for Atmospheric Science Department of Meteorology University of Reading, UK
EUPHEME • EUPHEME is a 3-year €2.5M project funded through the ERA4CS ERA-NET (Coordinator: Peter Stott) • Started Sept 2017 and ends in Sept 2020 • The vision of EUPHEME is to place weather extremes in the context of climate variability and change, thereby helping European citizens to adapt to a changing climate and mitigate its worst effects
EUPHEME Objectives 1. Develop state of the art methods for the attribution of extreme climate and weather events 2. Develop a scientific platform to carry out attribution analyses 3. i) Provide user-oriented syntheses ii) Disseminate consistent attribution assessments iii) Demonstrate the potential of attribution products
EUPHEME Partners The EUPHEME Partners are: • Met Office, UK • Met Éireann, Ireland • CNRS, France • KNMI, Netherlands • Météo France, France • BRGM, France • NCAS, Reading, UK • CGCRI, Czech Republic
EUPHEME Partners The EUPHEME Partners are: • Met Office, UK • Met Éireann, Ireland • CNRS, France • KNMI, Netherlands • Météo France, France • BRGM, France • NCAS, Reading, UK • CGCRI, Czech Republic • Wider Community
The ERA4CS ERA-NET • EUPHEME is funded through the ERA4CS ERA-NET •The aim of ERA4CS is to undertake “Fundamental research to develop Climate Services” • Two-thirds of EUPHEME is funded by in-kind contributions from partners (the additional funding is from the European Commission)
The ERA4CS ERA-NET • EUPHEME is funded through the ERA4CS ERA-NET •The aim of ERA4CS is to develop “Fundamental research to develop Climate Services” • Two-thirds of EUPHEME is funded by in-kind contributions from partners (the additional funding is from the European Commission) • EUPHEME represents a substantial commitment by its partners to further the science of climate attribution, increase its societal relevance and develop a prototype platform for future operational services.
Research & Development Services 2016 2017 2018 2019 2020 Operational Attribution Services Attribution Workshop 1st GA C3S ECMWF scoping meeting Copernicus Climate Change Service Stage 0: Stage 1: Stage 2: Stage 3: Proof of Concept Pre-Operational Op: 20ECVs 5-6 Sectors Operational: 30ECVs 10 Sectors EUCLEIA EUPHEME C20C+, World Weather Attribution, IDAG and other research initiatives Prototype End of EUCLEIA Met Office service website End of EUPHEME Seasonal system TRL 3 for event attribution TRL 4 TRL 5 TRL 6 TRL 7-9 2016 2017 2018 2019 2020
EUPHEME TRL 1 ••Basic principles observed TRL 2 ••Technology concept formulated E TRL 3 ••Experimental proof of concept U P TRL 4 ••Technology validated in lab H E TRL 5 ••Technology validated in relevant environment M E TRL 6 ••Technology demonstrated in relevant environment TRL 7 ••System prototype demonstration in operational env. TRL 8 ••System complete and qualified TRL 9 ••System proven in operational environment
Research & Development Services 2016 2017 2018 2019 2020 Operational Attribution Services Attribution Workshop 1st GA C3S ECMWF scoping meeting Copernicus Climate Change Service Stage 0: Stage 1: Stage 2: Stage 3: Proof of Concept Pre-Operational Op: 20ECVs 5-6 Sectors Operational: 30ECVs 10 Sectors EUCLEIA EUPHEME C20C+, World Weather Attribution, IDAG and other research initiatives Prototype End of EUCLEIA Met Office service website End of EUPHEME Seasonal system TRL 3 for event attribution TRL 4 TRL 5 TRL 6 TRL 7-9 2016 2017 2018 2019 2020
EUPHEME Workpackage and project structure of EUPHEME
EUPHEME WP1: User Needs WP1 aims at bridging the gap to tailor climate change attribution products to specific sectors • Identify sectoral issues to demonstrate the benefits of an operational attribution service for Europe • Establish a dialogue to develop a common understanding of event attribution, including uncertainties and implications for decision making
EUPHEME WP1: User Needs WP1 aims at bridging the gap to tailor climate change attribution products to specific sectors • Identified Sectors: Policy makers, insurance, legal and media • Establish user group to: i) identify needs ii) co-develop & co-evaluate prototype service in WP4
EUPHEME WP2: New Methods Event Model Attribution Synthesis Definition Evaluation Analyses • Developing new methods for Event Definition • Impacts models (e.g. flood modelling); more complex phenomena (e.g storms) • Model evaluation and robustness • Using Reliability to evaluate models • Coupled versus uncoupled attribution
EUPHEME WP2: New Methods Event Model Attribution Synthesis Definition Evaluation Analyses • Developing new methods for Attribution Analysis • New statistical methods • Flow dependent attribution • Inverse attribution: What was the likelihood of a past event? E.g. cold Januarys in France Courtesy of Robert Vautard, LCSE
EUPHEME WP2: New Methods Event Model Attribution Synthesis Definition Evaluation Analyses • Developing new methods to synthesise results • Weighted average of risk ratio results from statistical methods and dynamical models Risk Ratio Ethiopian Drought 2015: Risk ratios from statistical methods and dynamical models (Philip et al. 2017, J. Clim) Courtesy of Geert Jan van Oldenborgh, KNMI
EUPHEME WP3: Shared Platform Development of an scientific event attribution platform 1. Development of an attribution web processing service based on the KNMI Climate Explorer 2. Development of a scientific collaboration site (e.g. online lab book, co-author papers,…)
EUPHEME WP3: Shared Platform Development of an shared event attribution platform Application of methods and synthesis for test cases • Two rapid attribution cases e.g. automated use of 12km EURO- Cordex simulations • From Month 12, seasonal retrospectives The Summer 2017 record heat in Med regions Courtesy of Robert Vautard, LCSE Indicator = Tx mean JJA over Med area
WP4: Delivering a prototype user-oriented attribution service An attribution service website developed in consultation with stakeholders (via WP1) WP4 aims to: Extreme Events in a Changing Climate • Deliver a prototype service website for the Extreme Events in a Changing Climate dissemination of attribution information • Develop protocols for the effective communication of information • Demonstrate how attribution of impacts can be part of a developing attribution service © Crown copyright Met Office Courtesy of Nikos Christidis, Met Office
EUPHEME: Summary • EUPHEME is a 3-year €2.5M project funded through the ERA4CS ERA-NET (2017-2020) • Develop state of the art methods for the attribution of extreme climate and weather events • Develop a scientific platform to carry out attribution analyses • Provide user-oriented syntheses; disseminate consistent attribution assessments (including uncertainties); demonstrate the potential of attribution products
EUPHEME WP2: New Methods Event Model Attribution Synthesis Definition Evaluation Analyses • Developing new methods for Event Definition • Impacts models (e.g. flood modelling) and more complex phenomena (e.g storms) • Model evaluation and robustness • Using Reliability to evaluate models • Coupled versus uncoupled attribution
EUPHEME
EUPHEME Objectives 1. Develop state of the art methods for the attribution of extreme climate and weather events on a range of timescales, and new techniques for evaluating their reliability 2. Develop a scientific platform which hosts data, supports data processing and provides collaboration space for scientists from partner institutions to carry out attribution analyses using complementary methods and data sources 3. Provide a user-oriented synthesis, disseminate consistent attribution assessments through a prototype attribution service website and demonstrate the potential of attribution products to a wide variety of stakeholders
EUPHEME Objectives 1. Develop state of the art methods for the attribution of extreme climate and weather events on a range of timescales, and new techniques for evaluating their reliability 2. Develop a scientific platform which hosts data, supports data processing and provides collaboration space for scientists from partner institutions to carry out attribution analyses using complementary methods and data sources 3. Provide a user-oriented synthesis, disseminate consistent attribution assessments through a prototype attribution service website and demonstrate the potential of attribution products to a wide variety of stakeholders
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