WP7 Weather and Climate Large-scale Pilot
The Weather & Climate Use Case focused on a complex system, to provide a diverse set of forecasts: weather, flood, fire, energy, air pollution. This system exploited Copernicus and GEOSS data services, supplemented and complemented by global and local in-situ unstructured observations. Data were filtered and pre-processed before being assimilated to ensure quality. Moreover, each layer in the use case produces its own large data set of forecast data, varying from hundredd of Terabytes for global weather models, to Megabytes at the decision maker level. Both the assimilated data and data produced by each layer were made available between layers, or for further analysis and industrial exploitation, through a cloud-based Weather and Climate Data API (WCDA). The system was applied to several test cases, spanning all the available forecasts, to fine tune the system and demonstrate the innovative value.
Deliverables
- D7.1 – ECMWF – Architectural requirements and system design for interchange of weather & climate model output between HPC and Cloud environments
- D7.2 – CIMA – Architectural requirements and system design for interchange of in-situ unstructured weather & environmental observations
- D7.3 – TESEO – Design of a smart gateway for collecting, pre-processing and transmitting in-situ observations (confidential)
- D7.4 – NUM – Deployment of first test-bed infrastructure components in HPC/Cloud
- D7.5 – ECMWF – First release and test-bed deployment of Weather and Climate Data Interchange for both in-situ unstructured observations and model data output
- D7.6 – CIMA – Deployment of test-bed infrastructure components and adoption of Weather and Climate Data Interchange for model layer interoperability
- D7.7 – TESEO – Field deployment of a smart gateway for collecting, preprocessing and transmitting in-situ observations
- D7.8 – NUM – Final deployment of test-bed infrastructure components with full interoperable model layers
- D7.9 – ITHACA – Final report (KPI included) on demonstration and validation of the Weather & Climate testbed applied to selected cases