ECMWF | Reading | 28 February - 5 March 2017
Workshop on improving the socio-economic impact of NWP data
28 February - 1 March
Accessibility, ease of use and data policy impact upon the realised value of NWP forecast data, as shown in recent socio-economic impact studies. The workshop provided a forum to discuss the challenges of disseminating meteorological data into the future and how ECMWF and NMSs can ensure that the economic value of weather information can continue to be realised by the private market. The workshop discussed the user needs, the requirement to provide access to fast-growing, large data sets and the available solutions. What are the challenges and costs of ingesting this information? What future opportunities and applications do users foresee for ECMWF forecast data?
The workshop was aimed at policy makers and professionals interested in the evolution of the meteorological industries.
Presentations
| The public sector information directive at work: Make open, make available Kristin Lyng (Norwegian Meteorological Institute) |
 |
| WMO and the vision for WIS-2 Matteo dell'Aqua (Météo France) presented by Baudouin Raoult (ECMWF) |
|
| The Copernicus full, free and open data policy Peter Breger (European Commission) |
|
| State of the meteorological market Alex Longden (Met Office) |
|
| The evolution of the ECOMET one-stop shop Willie McCairns (ECOMET) |
|
| The future of Data Services Fabio Venuti (ECMWF) |
|
| Understanding the economic benefits of NWP Daniel Kull (World Bank) |
|
| The NOAA Big Data project: vision and approach Andy Bailey (NOAA/NWS) |
|
| Evolution of the EUMETSAT Data Services strategy Lothar Wolf (EUMETSAT) |
|
| Private-sector perspectives on improving the socio-economic impact of weather data Dennis Schulze (PRIMET) |
|
| Drawing from the experience of Helix Nebula: collaboration between private sector and data providers in the scientific domain Wolfgang Lengert (ESA) |
|
Highlights and group discussions
|
Highlights from the workshop on improving the socio-economic impact of NWP data |
|
16th Workshop on Meteorological Operational Systems (MOS)
1-3 March
Providing increasingly large and complex data sets, for scientists and industry to exploit, challenges traditional data centres to look at new technologies and work practices. This goes beyond the mere provision of data but also requires strategies for efficient processing and fast visualisation. Cloud based solutions and moving processing/visualisation to where data is stored are only some possible solutions.
The workshop on Meteorological Operational Systems (MOS) is biennially organised by ECMWF and reviews current and future developments of operational systems at ECMWF and National Weather Services. In 2017, the workshop focussed on how (open) data can be best brought to users. The workshop aimed to review current pull services, such as standardised web services (OGC, INSPIRE) and push services, such as product generation and dissemination. Participants were able to see the state-of-the-art of data service provision and were able to network with key players in this community. The workshop included sessions on operational visualisation systems and the traditional exhibition.
Presentations
| ECMWF Data Services Helene Blanchonnet (ECMWF) |
|
| Copernicus Climate Data Store Toolbox Angel Alos (ECMWF) |
|
| GEOSS Common Infrastructure and the Big Data challenges Mattia Santoro (CNR-IIA) |
|
| Accessing Multi-TB-sized Datasets at NCAR’s Research Data Archive Douglas Schuster (NCAR) |
|
| Technical implementation of the EUMETSAT Data Services Roadmap Michael Schick (EUMETSAT) |
|
| Drawing from the experience of Helix Nebula: collaboration between private sector and data providers in the scientific domain Wolfgang Lengert (ESA) |
|
| The NOAA Big Data Project: Vision and approach Andy Bailey (NOAA/NWS) |
|
| Metview 5.0 and Beyond, to its Pythonic Future Iain Russell (ECMWF) |
|
| Update on ecFlowUI – visualising complex workflows Sándor Kértesz (ECMWF) |
|
| Canvas-grid - a new NWP data visualization for NinJo Sören Kalesse (DWD) |
|
| Visual Weather - The Most Wanted Features Michal Weis (IBL) |
|
| Ensemble and 3D visualization with Met.3D – recent research and software updates Marc Rautenhaus (TU Munich) |
|
| Plymouth Marine Laboratory Web Based Geographic Information System Oliver Clements (PML) |
|
| Windytv and the future of meteorological visualisations Ivo Lukacovic (Windytv) |
N/A |
| Realizing the value of meteorological data Glenn Carver (ECMWF) |
|
| Recent developments of the NWP forecast system at DWD, based on ICON and COSMO-DE Thomas Hanisch (DWD) |
|
| WOW: Crowd Sourced, Citizen Science and Opportunistic Weather Observations at the Met Office Jake Brown (UK Met Office) |
|
| OGC Open Geospatial Consortium and Met Ocean Domain Working Group Chris Little (UK Met Office) |
|
|
A revolutionary approach to multi-dimensional data access of gridded datasets using current and proposed OGC Web Coverage Service Standards (The Met-Ocean Application Profile) |
|
| Scaling data access in Visual Weather Jozef Matula (IBL) |
|
| First experiences of using WC(P)S service at ECMWF Julia Wagemann (ECMWF) |
|
| Application of web processing services in the climate4impact.eu portal Ernst de Vreede (KNMI) |
|
| New software developments at ECMWF Stephan Siemen (ECMWF) |
|
| Maximising user benefit using data streams Bard Saa (Met Norway) |
|
| SmartMet Server – Providing MetOcean Data Roope Tervo (FMI) |
|
| Scheduling parallel production in the world of containers Martin Grønlien Pejcoch (Met Norway) |
|
| Weather forecast improvements at the UK Met Office: responding to the big data challenge Vicky Pope (UK Met Office) |
|
| JASMIN and the adoption of cloud-native architecture for managing data and compute at scale Philip Kershaw (STFC Rutherford Appleton Laboratory) |
|
| Building rich and interactive web applications with CoverageJSON Jon Blower (University of Reading) |
|
| Developing web services for ECMWF Sylvie Lamy-Thepaut (ECMWF) |
|
#OpenDataHack @ECMWF - Beyond weather: explore creative uses of open data
4-5 March
Over 70 developers, data wranglers, scientists and data enthusiasts came to #OpenDataHack @ECMWF to explore creative uses of open weather and climate data.