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Computational and Modelling Services (CMS)

Lead Research Organisation: National Centre for Atmospheric Science
Department Name: UNLISTED

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

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Martin G (2009) U.K. HiGEM: The New U.K. High-Resolution Global Environment Model-Model Description and Basic Evaluation in Journal of Climate

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Pearson K (2010) Evaluation of the model representation of the evolution of convective systems using satellite observations of outgoing longwave radiation in Journal of Geophysical Research: Atmospheres

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Moine M (2014) Development and exploitation of a controlled vocabulary in support of climate modelling in Geoscientific Model Development

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Osprey A (2014) The development of a data-driven application benchmarking approach to performance modelling

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Mayernik M (2015) Peer Review of Datasets: When, Why, and How in Bulletin of the American Meteorological Society

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Hassell D (2017) A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1) in Geoscientific Model Development

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Lawrence B (2017) Crossing the Chasm: How to develop weather and climate models for next generation computers?

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Hassell D (2017) A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1) in Geoscientific Model Development

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Roberts A (2018) Can explicit convection improve modelled dust in summertime West Africa?

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Oliver H (2019) Workflow Automation for Cycling Systems in Computing in Science & Engineering

 
Description The Computational Modelling Services has been influential in a number of different areas relating to the UK's atmospheric and polar science community, by:
Supporting high performance computing, and workflow for model runs
Developing tools for manipulating and visualising data
Managing processing and storage allocations on ARCHER, MONSooN, JASMIN and the Research Data Facility
Training users through hands-on modelling workshops
Bug fixing and issue management
https://ncas.ac.uk/our-services/computer-modelling-and-data/computational-modelling-services/
Exploitation Route Many of the outcomes are relevant to those engaged in modelling with high-performance computing, data management, and data analysis.
Sectors Digital/Communication/Information Technologies (including Software)

Environment
 
Description This project has provided software engineering support for a large community, many of whom have provided model simulations for the impact community. This submission relates to NCAS' Computational Modelling Services, which support computer simulations for climate, weather and earth-system research in the UK.
First Year Of Impact 2010
Sector Environment
Impact Types Policy & public services