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researcher

B. Shipway

6 papers hereh-index 273.3k citations64 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author3

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.DC4
  • cs.SE1
  • math.NA1
same name
  • B. Shipway — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedA highly scalable Met Office NERC Cloud model

23 citations · 52 across the 4 of their papers we have counts for

collaborators
Showing cs.DCShow all

4 papers · 1 filter

cs.DC2020

Porting the microphysics model CASIM to GPU and KNL Cray machines

Nick Brown, Alexandr Nigay, Michèle Weiland +2

CASIM is a microphysics scheme which calculates the interaction between moisture droplets in the atmosphere and forms a critical part of weather and climate modelling codes. Howeve…

cs.DC2020★ 19 cited

In-situ data analytics for highly scalable cloud modelling on Cray machines

Nick Brown, Michèle Weiland, Adrian Hill +1

MONC is a highly scalable modelling tool for the investigation of atmospheric flows, turbulence and cloud microphysics. Typical simulations produce very large amounts of raw data w…

cs.DC2020★ 10 cited

A directive based hybrid Met Office NERC Cloud model

Nick Brown, Angus Lepper, Michèle Weiland +3

Large Eddy Simulation is a critical modelling tool for the investigation of atmospheric flows, turbulence and cloud microphysics. The models used by the UK atmospheric research com…

cs.DC2018

LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models

S. V. Adams, R. W. Ford, M. Hambley +10

This paper describes LFRic: the new weather and climate modelling system being developed by the UK Met Office to replace the existing Unified Model in preparation for exascale comp…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.