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LEXIS PROJECT AT @Supercomputing: More than 350 subscribers to the IT4Innovations and LEXIS project newsletters. Congratulation to the 9 winners of the raffle and thanks Bayncore Labs for the prizes.

 

Aeronautics

The Aeronautics Large-scale Pilot lead by Avio Aero company in LEXIS is aimed to boost and promote a step change in the numerical …

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Weather and Climate

Within the context of Copernicus Services, the Weather & Climate pilot will increase the timeliness and quality of prediction and analyses.

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Earthquake and Tsunami

Earthquake and tsunami. Provide near real-time earthquake and tsunami damage/loss assessments and estimate of the tsunami …

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Lexis

LEXIS (Large-scale EXecution for Industry & Society) project aims to build an advanced...

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Consortium

LEXIS consortium collaborates with important organisations focused on all the aspects...

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Cooperation

LEXIS consortium collaborates with important organisations focused on all the aspects concerning...

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Workshops

High Performance Computing (HPC) domain is representative of the set of hardware and software technologies enabling other scientific domains to get new insights of ever complex...

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What is open call?

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How to apply?

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Infrastructure Layer

The LEXIS infrastructure federates three European HPC centers and scientific and data providers, respectively IT4I (CZ), LRZ (DE) and...

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Data Management Layer

The LEXIS Data Management layer, built on top of the infrastructure layer, will connect the participating HPC and HPDA sites together.

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Orchestration Layer

The orchestration layer is responsible for dispatching workflows’ tasks and jobs within the LEXIS infrastructural layer. To this end...

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WP7 Weather and Climate Large-scale Pilot

The Weather & Climate Use Case focuses on a complex system, to provide a diverse set of forecasts: weather, flood, fire, energy, air pollution. This system will exploit Copernicus and GEOSS data services, supplemented and complemented by global and local in-situ unstructured observations. Data will be filtered and pre-processed before being assimilated to ensure quality. Moreover, each layer in the use case will produce 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 will be made available between layers, or for further analysis and industrial exploitation, through a cloud-based Weather and Climate Data API (WCDA). The system will be 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
  • 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

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