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The LEXIS project will develop a large-scale HPC & Cloud BigData analytics industrial pilot test-bed to demonstrate high Technical-Readiness-Level software infrastructure dedicated to 3 use cases, which each have very high industry or social-economic impact: (1) Aeronautics (2) Weather & Climate (3) Catastrophe Alert systems. The focus will primarily be on how HPC and BigData/Cloud systems interact; how they can share data; and methods to compose workflows of tasks running on both cloud and HPC systems.

ECMWF will participate by:

(a) contributing with requirements for the software infrastructure

(b) providing the global weather forecasts to feed local regional models

(c) designing and developing a data sharing API that will connect the multiple layers of the weather & climate test-bed

(d) explore existing technologies for handling large-scale analysis of in-situ unstructured weather observations (e.g. mobile phones, smart cities, etc)

(e) explore existing technologies for serving large-scale NWP data output for end-user data analysis and post-processing in Cloud systems

ECMWF strategy alignment:

ECMWF will learn and explore how we can use BigData/Cloud technologies for serving our data to our member states in BigData/Cloud systems and how these can interact with our HPC system.