TY - GEN AU - Peter Bauer AU - Tiago Quintino AU - Nils Wedi AU - Antonino Bonanni AU - Marcin Chrust AU - Willem Deconinck AU - Michail Diamantakis AU - Peter Düben AU - Stephen English AU - Johannes Flemming AU - Paddy Gillies AU - Ioan Hadade AU - James Hawkes AU - Mike Hawkins AU - Olivier Iffrig AU - Christian Kühnlein AU - Michael Lange AU - Peter Lean AU - Olivier Marsden AU - Andreas Müller AU - Sami Saarinen AU - Domokos Sarmany AU - Michael Sleigh AU - Simon Smart AU - Piotr Smolarkiewicz AU - Daniel Thiemert AU - Giovanni Tumolo AU - Christian Weihrauch AU - Cristiano Zanna AU - Pedro Maciel AB -

The efficiency of the forecasting system on future high-performance computing and data handling systems is considered one of the key challenges for implementing ECMWF’s ambitious strategy. This was already recognised by ECMWF in 2013, and has led to the foundation of the Scalability Programme. The programme aims to address this challenge as a concerted action between the Centre and its Member States, but also draws in the computational science expertise available throughout Europe. This technical memorandum provides an overview of the status of the programme, highlights achievements from the first five years ranging from observational data pre-processing, data assimilation, forecast model design and output data post-processing, and defines the roadmap for the next five years towards a sustainable system that can operate on the expected range of hardware and software technologies. This point in time is crucial because the programme will have a strong focus on implementation and operational benefit in the next period.

BT - ECMWF Technical Memoranda DA - 02/2020 DO - 10.21957/gdit22ulm LA - eng M1 - 857 N2 -

The efficiency of the forecasting system on future high-performance computing and data handling systems is considered one of the key challenges for implementing ECMWF’s ambitious strategy. This was already recognised by ECMWF in 2013, and has led to the foundation of the Scalability Programme. The programme aims to address this challenge as a concerted action between the Centre and its Member States, but also draws in the computational science expertise available throughout Europe. This technical memorandum provides an overview of the status of the programme, highlights achievements from the first five years ranging from observational data pre-processing, data assimilation, forecast model design and output data post-processing, and defines the roadmap for the next five years towards a sustainable system that can operate on the expected range of hardware and software technologies. This point in time is crucial because the programme will have a strong focus on implementation and operational benefit in the next period.

PB - ECMWF PY - 2020 T2 - ECMWF Technical Memoranda TI - The ECMWF Scalability Programme: Progress and Plans UR - https://www.ecmwf.int/node/19380 ER -